HomeMy Public PortalAbout20141022 - Agenda Packet - Board of Directors (BOD) - 14-29
SPECIAL AND REGULAR MEETING
BOARD OF DIRECTORS OF THE
MIDPENINSULA REGIONAL OPEN SPACE DISTRICT
330 Distel Circle
Los Altos, CA 94022
Wednesday, October 22, 2014
SPECIAL MEETING BEGINS AT 6:00
REGULAR MEETING BEGINS AT 7:00
R E V I S E D A G E N D A
6:00 SPECIAL MEETING OF THE BOARD OF DIRECTORS OF THE MIDPENINSULA
REGIONAL OPEN SPACE DISTRICT – CLOSED SESSION
ROLL CALL
1. CONFERENCE WITH REAL PROPERTY NEGOTIATORS (Government Code Section
54956.8)
Property: Rancho San Antonio Contract with Santa Clara County
Agency Negotiator: Stephen E. Abbors, General Manager and Kevin Woodhouse,
Assistant General Manager
Negotiating Party: Robb Courtney, Santa Clara County Director of Parks and Recreation
Department
Under Negotiation: Terms of real property transaction
2. CONFERENCE WITH LEGAL COUNSEL – CONSIDERATION OF AMICUS FILING
IN PENDING LITIGATION (Government Code Section 54956.9(d)(4)).
Name of Case: City of Pasadena v. Superior Court
Case Number: Second District Court of Appeals, Case No. B254800
ADJOURNMENT
7:00 REGULAR MEETING OF THE BOARD OF DIRECTORS OF THE MIDPENINSULA
REGIONAL OPEN SPACE DISTRICT
REPORT OUT OF CLOSED SESSION (IF NECESSARY) (The Board shall publicly state any
reportable action taken in closed session pursuant to Government Code Section 54957.1)
ORAL COMMUNICATIONS – PUBLIC
ADOPTION OF AGENDA
Meeting 14-29
CONSENT CALENDAR
1. Approve Minutes of the September 8, 2014 and October 8, 2014 Board Meetings
2. Approve Claims Report
BOARD BUSINESS
3. Rancho San Antonio Air Monitoring Study Final Report and Presentation (R-14-126)
Staff Contact: Matt Baldzikowski, Resource Planner III
General Manager’s Recommendation: Receive the final presentation of the results from the air
quality monitoring study conducted at Rancho San Antonio Open Space Preserve and accept final
monitoring report.
4. Award a Contract for Water Engineering and Consulting Services (R-14-127)
Staff Contact: Meredith Manning, Senior Planner
General Manager’s Recommendation: Authorize the General Manager to award a contract to
Wagner & Bonsignore Engineers for an amount not-to-exceed $75,000 to provide water
engineering and consulting services regarding District water systems and rights.
INFORMATIONAL REPORTS – Reports on compensable meetings attended. Brief reports or announcements
concerning activities of District Directors and staff; opportunity to refer public or Board questions to staff for
factual information; request staff to report back to the Board on a matter at a future meeting; or direct staff to
place a matter on a future agenda.
A. Committee Reports
B. Staff Reports
C. Director Reports
ADJOURN MEETING
TO ADDRESS THE BOARD: The President will invite public comment on agenda items at the time each item is considered by the Board of Directors. You may address the
Board concerning other matters during Oral Communications. Each speaker will ordinarily be limited to three minutes. Alternately, you may comment to the Board by a
written communication, which the Board appreciates.
Consent Calendar: All items on the Consent Calendar may be approved without discussion by one motion. Board members, the General Manager, and members of the
public may request that an item be removed from the Consent Calendar during consideration of the Consent Calendar.
In compliance with the Americans with Disabilities Act, if you need assistance to participate in this meeting, please contact the District Clerk at (650) 691-1200.
Notification 48 hours prior to the meeting will enable the District to make reasonable arrangements to ensure accessibility to this meeting.
Written materials relating to an item on this Agenda that are considered to be a public record and are distributed to Board members less than 72 hours prior to the meeting,
will be available for public inspection at the District’s Administrative Office located at 330 Distel Circle, Los Altos, California 94022.
CERTIFICATION OF POSTING OF AGENDA
I, Jennifer Woodworth, District Clerk for the Midpeninsula Regional Open Space District (MROSD), declare that the foregoing agenda
for the Special and Regular Meetings of the MROSD Board of Directors was posted and available for review on October 15, 2014, at
the Administrative Offices of MROSD, 330 Distel Circle, Los Altos California, 94022. Agenda materials are also available on the
District’s website at http://www.openspace.org.
Signed this 15th day of October, 2014, at Los Altos, California.
September 8, 2014
Board Meeting 14-24
SPECIAL MEETING
BOARD OF DIRECTORS
MIDPENINSULA REGIONAL OPEN SPACE DISTRICT
330 Distel Circle
Los Altos, CA 94022
September 8, 2014
DRAFT MINUTES
SPECIAL MEETING – CLOSED SESSION
CALL TO ORDER
President Harris called the Special Meeting of the Midpeninsula Regional Open Space District
Board of Directors to order at 4:30 p.m.
ROLL CALL
Members Present: Jed Cyr, Nonette Hanko, Cecily Harris, Larry Hassett, Yoriko Kishimoto,
Curt Riffle, and Pete Siemens
Members Absent: None
Staff Present: General Manager Steve Abbors, Assistant General Manager Kevin
Woodhouse, General Counsel Sheryl Schaffner, Operations Manager
Michael Newburn, and Real Property Manager Mike Williams
III. CLOSED SESSION
1. CONFERENCE WITH LEGAL COUNSEL – ANTICIPATED LITIGATION
(Government Code Section 54956.9(b))
One potential case
2. CLOSED SESSION: PUBLIC EMPLOYEE PERFORMANCE EVALUATION.
(GOVERNMENT CODE SECTION 54957(b)(1))
Title of Employee: General Manager
IV. ORAL COMMUNICATIONS
Oral Communications opened at 4:31 p.m.
Meeting 14-24 Page 2
Gary Chibas, member of the Lupin Lodge Advisory Board, spoke regarding the history of Lupin
Lodge and stated that normally the water being used by Lupin Lodge would go directly into the
ground.
Lori Kay Stout, member of the Lupin Family Trust stated Lupin Lodge has been working on
improving its wells on the property to alleviate the water shortage, working with the State Water
Resources Control Board, and trucking in water. Ms. Stout stated that the water is primarily
used for fire suppression, and Lupin Lodge was contacted by members of the press. Finally, Ms.
Stout recalled the history of water usage by Lupin Lodge with relation to the previous owner of
property now owned by the District.
Glyn Stout provided information regarding the history of Lupin Lodge. Mr. Stout also stated
that he did not want to pursue a lawsuit against the District but has support if needed. Finally,
Mr. Stout stated that he prefers the power of the press over the law, which acts more slowly
Oral Communications closed at 4:44 p.m.
The Board of Directors convened into Closed Session.
V. MEETING ADJOURNED
President Harris adjourned the special meeting of the Board of Directors of the Midpeninsula
Regional Open Space District at 7:38 p.m.
________________________________
Jennifer Woodworth, CMC
District Clerk
October 8, 2014
Board Meeting 14-28
SPECIAL AND REGULAR MEETING
BOARD OF DIRECTORS
MIDPENINSULA REGIONAL OPEN SPACE DISTRICT
330 Distel Circle
Los Altos, CA 94022
October 8, 2014
DRAFT MINUTES
SPECIAL MEETING – CLOSED SESSION
CALL TO ORDER
President Harris called the Special Meeting of the Midpeninsula Regional Open Space District
Board of Directors to order at 5:02 p.m.
ROLL CALL
Members Present: Jed Cyr, Cecily Harris, Larry Hassett, Yoriko Kishimoto, Curt Riffle, and
Pete Siemens
Members Absent: Nonette Hanko
Staff Present: Assistant General Manager Ana Ruiz, Assistant General Manager Kevin
Woodhouse, General Counsel Sheryl Schaffner, Operations Manager
Michael Newburn, and Real Property Manager Mike Williams
III. CLOSED SESSION
1. CONFERENCE WITH REAL PROPERTY NEGOTIATORS (Government Code
Section 54956.8)
Property: 8700 Alpine Road, La Honda, CA, 94020, San Mateo County APN 083-340-
140
Agency Negotiator: Michael Williams, Real Property Manager
Negotiating Party: Tricia Suvari, Vice President, Land Transactions, Peninsula Open
Space Trust
Under Negotiation: Price and terms of payment
2. CONFERENCE WITH LEGAL COUNSEL – ANTICIPATED LITIGATION
(Government Code Section 54956.9(b))
One potential case
Meeting 14-28 Page 2
IV. MEETING ADJOURNED
President Harris adjourned the special meeting of the Board of Directors of the Midpeninsula
Regional Open Space District at 7:08 p.m.
REGULAR MEETING
I. CALL TO ORDER
President Harris called the Regular Meeting of the Midpeninsula Regional Open Space District
Board of Directors to order at 7:10 p.m.
II. ROLL CALL
Members Present: Jed Cyr, Cecily Harris, Larry Hassett, Yoriko Kishimoto, Curt Riffle, and
Pete Siemens
Members Absent: Nonette Hanko
Staff Present: Assistant General Manager Ana Ruiz, Assistant General Manager Kevin
Woodhouse, General Counsel Sheryl Schaffner, Operations Manager
Michael Newburn, Contingent Project Manager Aaron Hébert, Real
Property Manager Mike Williams, Real Property Specialist Allen
Ishibashi, and District Clerk Jennifer Woodworth
III. REPORT OUT OF CLOSED SESSION (IF NECESSARY) (The Board shall publicly
state any reportable action taken in closed session pursuant to Government Code Section
54957.1)
President Harris noted that there were no actions to report out of closed session.
IV. ORAL COMMUNICATIONS
No speakers present.
V. ADOPTION OF AGENDA
Motion: Director Riffle moved, and Director Cyr seconded the motion to adopt the agenda.
VOTE: 6-0-0 (Director Hanko absent)
VI. SPECIAL ORDER OF THE DAY
Introduction of New District Staff Members:
• Carmen Lau, Youth Outreach and Public Affairs Assistant
• Julie Amato, Community Outreach Specialist
VII. CONSENT CALENDAR
Meeting 14-28 Page 3
1. Approve Minutes of the Special and Regular Board Meetings of September 24, 2014.
2. Approve the Claims Report
3. Written Communications – Louise Wholey
4. Partnership with the City of East Palo Alto to Apply for a Habitat Conservation
Fund Program Grant for Cooley Landing Park (R-14-123)
General Manager’s Recommendation: Authorize the General Manager to amend a contract with
David J. Powers Associates, adding $24,750 to the existing contract, for a total not-to-exceed
amount of $128,035, to provide additional environmental review consulting services for the
proposed Ridge Vineyards Exchange project.
Public hearing opened at 7:16 p.m.
No speakers present.
Public hearing closed at 7:16 p.m.
Motion: Director Hassett moved, and Director Siemens seconded the motion to approve the
Consent Calendar.
VOTE: 6-0-0 (Director Hanko absent)
VIII. BOARD BUSINESS
5. Award of Contract for the Skyline Field Office HVAC Replacement Project (R-14-
124)
Contingent Project Manager Aaron Hébert provided the staff presentation explaining current
maintenance problems concerning the HVAC system at the Skyline Field Office and the history
of the project. Mr. Hébert described various factors that affected the amount of the bids received
including location of the project, state regulations governing the project, and hazardous materials
located at the site. Finally, Mr. Hébert described HVAC system recommended for installation
including installation and ongoing maintenance costs.
Director Kishimoto inquired as to the costs of the proposed HVAC system as opposed to an
electric or solar system.
Mr. Hébert explained that the proposed contractor did evaluate the various options for powering
the HVAC system.
Director Hassett inquired if the Skyline Field Office is adequate for current and future uses and
expressed his concerns that current District facilities are inadequate for District needs.
Assistant General Manager Ana Ruiz explained that as staff is looking at the future capacity and
use of District facilities, and the Skyline Field Office is included as an essential building for staff
Meeting 14-28 Page 4
use. Ms. Ruiz also explained that completion of the project will correct an ongoing health and
safety hazard experienced by District staff.
Mr. Hébert provided a breakdown of the components of the bid package explaining the costs of
the materials and the costs for compliance with state regulations for commercial buildings.
Directors Riffle and Harris provided comments regarding future facility needs for current and
future staff needs.
Public hearing opened at 8:01 p.m.
No speakers present.
Public hearing closed at 8:01 p.m.
Director Hassett provided comments that he would like to continue the discussion regarding
building an adequate facility at Skyline at a future time.
Motion: Director Cyr moved, and Director Siemens seconded the motion to:
1. Authorize the General Manager to enter into a contract with B Bros Construction Inc., of San
Leandro, CA, for an amount not-to-exceed $264,585, which includes the contract price of
$240,532 to replace the Heating, Ventilation, and Air-Conditioning system at the Skyline
Field Office, and a 10% contingency amount of $24,053 to cover any unanticipated
additional repairs.
2. Authorize the General Manager to amend the professional services contract with
Tannerhecht, Inc. to increase the total contract amount by $19,540 to a not to exceed amount
of $44,420, for construction administration and oversight, which includes a 10% allowance
amount of $1,954 to cover any unanticipated problems during construction.
3. Determine that the proposed project is categorically exempt from the California
Environmental Quality Act, as set out in the staff report.
VOTE: 5-1-0 (Director Hassett opposed; Director Hanko absent)
Director Riffle requested staff report back at a future Board meeting regarding current and future
facility needs.
6. Proposed Purchase of and related Preliminary Use and Management Plan and
Categorical Exemption for the Sargent Lysons Family Trust Property as an addition to
Monte Bello Open Space Preserve, located at 17251 Stevens Canyon Road in
unincorporated Santa Clara County (Assessor’s Parcel Number 351-16-020) (R-14-116)
Real Property Specialist Allen Ishibashi presented the staff report describing the location of the
Lysons project and its role in completing the proposed Stevens Creek regional trail and the
greenbelt in Stevens Canyon. Mr. Ishibashi described the two houses located on the site, water
systems, and condition of the homes. Mr. Ishibashi described the use and management
considerations for the purchase and the terms and conditions of the purchase. Finally, Mr.
Ishibashi described the recommended action and next steps in the project.
Director Harris inquired as to the planning process for the proposed Stevens Creek Trail.
Meeting 14-28 Page 5
Mr. Ishibashi explained that trail planning began 20 years prior with the District and Santa Clara
County each building the portions of the trail located on their respective lands.
Public hearing opened at 8:24 p.m.
Mike Bushue, speaking for the ETRAC organization and himself, provided comments regarding
the need for equestrian parking for the proposed Stevens Creek Trail, preservation of buildings
on District lands, and benefits of the conservation easement with Santa Clara County Parks.
Mr. Ishibashi explained that the primary benefit is the contribution of half of the purchase price
as well as requiring the District to preserve the land as park land or open space. Mr. Ishibashi
that future consideration for equestrian use would need to be considered at a later date.
Public hearing closed at 8:31 p.m.
Motion: Director Siemens moved, and Director Cyr seconded the motion to:
1. Determine that the recommended actions are categorically exempt from the California
Environmental Quality Act as set out in the staff report.
2. Adopt a resolution authorizing the purchase of the Sargent Lysons Family Trust property.
3. Adopt the Preliminary Use and Management Plan as contained in this report.
4. Withhold dedication of the Property as public open space.
VOTE: 6-0-0 (Director Hanko absent)
IX. COMMITTEE REPORTS
Director Kishimoto reported that the Action Plan and Budget Committee met to begin discussing
the draft Employee Compensation Guiding Principles and scheduled an addition meeting on
October 31, 2014.
X. STAFF REPORTS
Public Affairs Manager Shelly Lewis provided an update to the Board regarding the public
outreach plan for the upcoming Study Session on October 29th.
Assistant General Manager Kevin Woodhouse provided an update on the Financial and
Operational Sustainability Model study.
Assistant General Manager Ana Ruiz provided an update on the prioritization of the Measure AA
projects according to the criteria approved by the Board on September 10th. Ms. Ruiz also
announced that the District was awarded the Exceptional Public Outreach and Advocacy honor
by the California Special District’s Association for its Vision Plan project.
XI. DIRECTOR REPORTS
The Board submitted their compensatory forms to the District Clerk.
Directors Hassett and Harris reported that they attended meetings of the Sierra Club and the
Committee for Green Foothills.
Meeting 14-28 Page 6
Director Hassett announced that his daughter recently directed a play in New York City.
Directors Kishimoto and Siemens reported their attendance at recent meeting of the Committee
for Green Foothills.
Director Siemens reported that he recently attended a meeting of the League of Conservation
Voters.
Director Harris reported that she attended the California Special District’s Association Annual
Conference.
XII. ADJOURNMENT
President Harris adjourned the regular meeting of the Board of Directors of the Midpeninsula
Regional Open Space District at 8:44 p.m.
________________________________
Jennifer Woodworth, CMC
District Clerk
Page 1 of 4
CLAIMS REPORT
MEETING 14-29
DATE 10-22-14
MIDPENINSULA REGIONAL OPEN SPACE DISTRICT
Check
Number
Notes Vendor No. and Name Invoice Description Check Date Payment
Amount
67862 11073 - SAN MATEO COUNTY CLERK RECORDER Election costs - San Mateo County - 6/3/2014 (Measure AA)10/17/2014 $251,535.78
67840 10925 - PAPE` MACHINERY 2014 John Deere 85G Excavator Purchase 10/15/2014 $150,182.78
Bulldozer Rental for Ancient Oaks Trail - 8/28-9/24/14 (RR)10/15/2014
67799 #10487 - TKO GENERAL ENGINEERING & CONSTRUCTION Construction payment - Bald Mtn Parking Area (SAU)10/08/2014 $109,599.60
67855 10487 - TKO GENERAL ENGINEERING & CONSTRUCTION Construction payment - Pond DR05 Restoration Project (LHC)10/15/2014 $38,000.00
67861 11369 - BANK OF THE WEST COMMERCIAL CARD USA $30.95 - Key Supplies 10/15/2014 $28,921.38
$33.68 - Business Meal 10/15/2014
$107.18 - Lunch for Skills Assessment Test, Bulb 10/15/2014
$437.84 - Field Supplies, Registration Fee 2014 Cal-IPC Symposium 10/15/2014
$54.33 - CPER Pocket Guides 10/15/2014
$1,595.33 - Recognition Event, Training, Commuter Check Program 10/15/2014
$1,458.82 - Safety Glasses, Tools, Signs, Camera 10/15/2014
$421.92 - Web Service Fees 10/15/2014
$255.81 - CEQA Training Meeting, Exhibit Poster Frames 10/15/2014
$1,892.86 - Water Trucking, Camera, Fridge 10/15/2014
$845.64 - EC Conference Expenses for Land Trust Alliance & Elkhorn Slough 10/15/2014
$1,616.86 - VRE Gift Basket Items, Gift Cards, Nature Center Supplies 10/15/2014
$1,067.25 - Safety Webinar, Staff Recognition Event expenses 10/15/2014
$256.40 - Volunteer Recognition Event Equipment & Supplies 10/15/2014
$837.90 - Name Badges, Event Food, Office Supplies, Newspaper Subscription 10/15/2014
$13.85 - Field Supplies (RSA/DHF)10/15/2014
$951.29 - Tools, Office Furniture, Signs 10/15/2014
$262.87 - Anti-Spam Software Service, Laptop Power Supply Charger 10/15/2014
$507.69 - APA Conference Travel Expenses 10/15/2014
$327.75 - Meeting Meal, Office Supplies 10/15/2014
$322.10 - Uniform Items & Truck Tools 10/15/2014
$42.46 - Field Supplies (RSA/DHF)10/15/2014
$522.33 - New Employee Orientations, Continuing Education Training 10/15/2014
$241.58 - Supplies for Volunteer Recognition Event 10/15/2014
$70.80 - Shuttle for CSDA Conference 10/15/2014
$8,385.13 - Volunteer Recognition Event Rentals and Awards 10/15/2014
$35.79 - Office Supplies 10/15/2014
$857.96 - Recruitment and Office Supply expenses 10/15/2014
$950.00 - CAL IPC Conference Registration - A. Mills/C. Yunker 10/15/2014
$1023.49 - SS Reimbursement for Land Trust Alliance Conference Expenses 10/15/2014
$752.15 - Board Meeting Meals, CSDA Conference Expenses 10/15/2014
$34.53 - Bart Tickets, IT supplies 10/15/2014
$1284.44 - Docent, Volunteer Recognition Event, and Geocaching Supplies 10/15/2014
$1314.69 - Lunch Meeting, City Clerks Conference Registration, Facility Rental Fee 10/15/2014
$107.71 - Skills Assessments Purchases 10/15/2014
67854 10307 - THE SIGN SHOP Wooden Preserve Sign (ECDM)10/15/2014 $18,994.55
Signs for Bald Mountain Parking Area (SAU)10/15/2014
67812 11418 - BARRERA'S BUILDERS Roof Replacement (AO)10/15/2014 $17,029.03
67800 *10216 - VALLEY OIL COMPANY Fuel for District Vehicles & Equipment 09/2014 10/08/2014 $13,751.00
Page 2 of 4
CLAIMS REPORT
MEETING 14-29
DATE 10-22-14
MIDPENINSULA REGIONAL OPEN SPACE DISTRICT
Check
Number
Notes Vendor No. and Name Invoice Description Check Date Payment
Amount
67816 10012 - BIOSEARCH ASSOCIATES Pond DR05 Biological Monitoring (LHC)10/15/2014 $13,072.42
67835 10794 - JOHN NORTHMORE ROBERTS & ASSOC Construction Administration - Bald Mtn Staging Area Project (SAU)10/15/2014 $11,577.76
67798 10468 - TANNERHECHT ARCHITECTURE, INC.HVAC Feasibility Studies & Design (SFO)10/08/2014 $10,434.50
67791 11432 - SAN MATEO COUNTY RESOURCE CONSERVATION DISTRICT Slender False Brome Treatment April - May 2014 10/08/2014 $8,924.75
67776 10540 - CRAFTSMEN PRINTING Printing of Notecards & Brochures (RSA)10/08/2014 $7,003.50
67851 10107 - SUNNYVALE FORD Vehicle Maintenance & Repairs - P82 10/15/2014 $6,660.61
67789 11241 - QUESTA ENGINEERING CORPORATION Harkins Bridge Engineering (PCR)10/08/2014 $6,306.08
67782 11376 - LAND TRUST OF SANTA CRUZ COUNTY Cost Share for Hwy 17 Wildlife Corridor 10/08/2014 $6,059.83
67826 11153 - FLOORING DISTRIBUTORS CA New Flooring at Residence (RSA/DHF)10/15/2014 $5,600.00
67856 *10786 - U.S. BANK EQUIPMENT FINANCE Copier Lease (AO)10/15/2014 $4,910.07
67771 11386 - BOB MURRAY & ASSOCIATES Professional Services - Recruitment Expenses for Operations Manager 10/08/2014 $4,673.01
67772 11371 - CALFLORA DATABASE Weed Manager Database - Intermediate development Phase II (06/14 - 08/14)10/08/2014 $4,360.00
67818 11161 - CARNEGHI BLUM AND PARTNERS Appraisal Fee - Riggs Property 10/15/2014 $4,000.00
67859 *11118 - WEX BANK Fuel for District Vehicles 10/15/2014 $3,414.11
67832 10222 - HERTZ EQUIPMENT RENTAL INC Equipment Rental - Excavator (FO & ECDM)10/15/2014 $3,357.62
67833 10123 - HOME DEPOT CREDIT SERVICES Hardware, Hose, Liquid Bait, Brushes, Metal Tray 10/15/2014 $2,949.10
67767 11396 - AGCO HAY LLC Water Troughs for McDonald Ranch 10/08/2014 $2,805.00
67792 11224 - SANTA CLARA COUNTY - COMMUNICATIONS DEPT County Radio System Maintenance 10/08/2014 $2,474.00
67796 10585 - SOL'S MOBILE SERVICE Vehicle Maintenance & Repairs 10/08/2014 $2,255.92
67829 10187 - GARDENLAND POWER EQUIPMENT Equipment Battery 10/15/2014 $2,245.90
Generator 10/15/2014
Tools for Shop / ECDM Project 10/15/2014
Chainsaw Sharpening 10/15/2014
67841 *10180 - PG & E Electric - Well Pump (SR)10/15/2014 $2,058.98
Electric (A02)10/15/2014
Electric - Driscoll Ranch Ag pump (LHC/Drisc)10/15/2014
Electric (SR)10/15/2014
Electric - Rodeo Grounds (LHC)10/15/2014
67853 10706 - THE MERCURY NEWS Legal Ad for the Integrated Pest Management EIR Mailing 10/15/2014 $2,047.03
67810 *10128 - AMERICAN TOWER CORPORATION Repeater Site Lease 10/15/2014 $1,668.00
67852 10152 - TADCO SUPPLY Janitorial Supplies (RSA/CP/FFO/RR)10/15/2014 $1,588.00
67850 10585 - SOL'S MOBILE SERVICE Vehicle Maintenance & Repairs M70 10/15/2014 $1,571.63
67808 10004 - ACCOUNTEMPS Accounting Temp 10/15/2014 $1,534.11
67811 10010 - ARRANGED4COMFORT Ergonomic Office Equipment for J. Mark, M. Childs, L. Beaulieu 10/15/2014 $1,518.62
67846 10194 - REED & GRAHAM INC Erosion Control Materials - ECDM Watershed Protection Program 10/15/2014 $1,325.55
67768 11170 - ALEXANDER ATKINS DESIGN, INC.Funded by Measure AA Logo design 10/08/2014 $1,270.00
Design for October Events Poster 10/08/2014
67781 11328 - KEVIN WOOLEN Consultation for Structural Pest Control 10/08/2014 $1,244.65
1193 **10203 - WOODSIDE & PORTOLA PRIVATE PATROL Patrol Services - Hawthorn property 10/15/2014 $1,200.00
67822 *10445 - COMMUNICATION & CONTROL INC Antenna Rental & Utility Fee #1802 10/15/2014 $1,172.00
67797 10107 - SUNNYVALE FORD Vehicle Maintenance & Repair - P84/P74 10/08/2014 $1,057.13
67817 10840 - CALIFORNIA PENSION GROUP, LLC Pension Consulting Services - September 2014 10/15/2014 $1,000.00
67845 10195 - REDWOOD GENERAL TIRE CO INC Tires & Installation Of Tires - A97 10/15/2014 $954.26
67860 11267 - WOODHOUSE, KEVIN Reimbursement Travel - 2014 ICMA Annual Conference 10/15/2014 $873.11
Page 3 of 4
CLAIMS REPORT
MEETING 14-29
DATE 10-22-14
MIDPENINSULA REGIONAL OPEN SPACE DISTRICT
Check
Number
Notes Vendor No. and Name Invoice Description Check Date Payment
Amount
67770 10141 - BIG CREEK LUMBER CO INC Sign Materials 10/08/2014 $847.36
67785 10076 - OFFICE TEAM Front Desk Temp - E. Palafox 10/08/2014 $810.88
67803 10004 - ACCOUNTEMPS Accounting Temp 10/09/2014 $795.65
67795 10102 - SHUTE, MIHALY & WEINBERGER LLP Legal Fees for Ridge Vineyards Exchange CEQA 10/08/2014 $781.00
67775 10185 - COSTCO Field Supplies (SFO)10/08/2014 $733.72
67820 10018 - CECILY HARRIS Reimbursements for CSDA Annual Conference 10/15/2014 $675.47
67838 11270 - MUNICIPAL MAINTENANCE EQUIPMENT, INC.Equipment Maintenance & Repair - Tiger Mower 10/15/2014 $662.70
Filter for Field Equipment 10/15/2014
67787 10140 - PINE CONE LUMBER CO INC Materials for the ECDM Watershed Protection Program 10/08/2014 $622.49
Hardware for Shop (SFO)10/08/2014
67842 10265 - PRIORITY 1 Installation of radio - A96 10/15/2014 $608.55
67821 10352 - CMK AUTOMOTIVE INC Vehicle Maintenance & Repairs - M53/P88 10/15/2014 $598.07
67794 *10580 - SHARP BUSINESS SYSTEMS Copier Usage - AO 10/08/2014 $574.61
67790 10136 - SAN JOSE WATER COMPANY Water Service (RSA/CP)10/08/2014 $561.54
67815 11430 - BIOMAAS Biologist - Project Survey Mindego Lake 10/15/2014 $544.28
67814 10122 - BECK'S SHOES Uniform Item - Boots 10/15/2014 $474.20
67819 10170 - CASCADE FIRE EQUIPMENT COMPANY Fire Pumper Equipment 10/15/2014 $457.79
67765 10209 - PETTY CASH-MROSD SFO Petty Cash Reimbursement 10/06/2014 $409.33
67844 *10589 - RECOLOGY SOUTH BAY Garbage Service (RSA/CP)10/15/2014 $393.93
67773 11186 - CALIFORNIA DEPT FISH AND WILDLIFE-NAPA OFFICE Fish and Wildlife Permit Fees 10/08/2014 $368.25
67802 10237 - WILLIAMS, MICHAEL Reimbursement - Cell phone (7/14 - 9/14) & Mileage 10/08/2014 $341.12
67804 *10093 - RENE HARDOY 09/14 Gardening Services 10/09/2014 $325.00
67805 11436 - BAY TRAILRUNNERS LLC Security Deposit Refund 10/14/2014 $250.00
67806 10443 - LOS GATOS ATHLETIC ASSOCIATION Security Deposit Refund 10/14/2014 $250.00
67807 11437 - STEVENS CREEK STRIDERS Security Deposit Refund 10/14/2014 $250.00
67824 10032 - DEL REY BUILDING MAINTENANCE Janitorial Supplies (AO)10/15/2014 $234.34
67857 10403 - UNITED SITE SERVICES INC Sanitation Services for Contractors at Mindego Ranch (RR)10/15/2014 $206.83
67779 10455 - HUGG, IANTHINA Reimbursement - Professional Membership Dues - ASLA 10/08/2014 $200.00
67774 10352 - CMK AUTOMOTIVE INC Replacement of Battery in District Vehicle - A90 10/08/2014 $199.79
67777 10169 - FOSTER BROTHERS SECURITY SYSTEMS Re-Key Padlocks (SFO)10/08/2014 $190.53
67784 10288 - MISSION VALLEY FORD TRUCK SALES, INC Tractor Parts 10/08/2014 $187.80
67780 10051 - JIM DAVIS AUTOMOTIVE Smog Inspection - A68/A90/P79/A94 10/08/2014 $180.00
67848 10136 - SAN JOSE WATER COMPANY Water Service - Rental Residence 10/15/2014 $178.81
67783 11326 - LEXISNEXIS MATTHEW BENDER Subscription Print Service Sept 2014 10/08/2014 $178.00
67858 10685 - WEST VALLEY COLLECTION Garbage Service (SAO & ES)10/15/2014 $174.80
67801 10527 - WASTE MANAGEMENT Disposal Service (GP)10/08/2014 $158.14
67786 10080 - PALO ALTO MEDICAL FOUNDATION Mandated DOT Testing September 2014 - Drivers Licenses 10/08/2014 $153.00
67823 10540 - CRAFTSMEN PRINTING Printing of Business Cards - Lau/Newburn/Amato 10/15/2014 $146.81
67778 10168 - G & K SERVICES INC Shop Towel Service (FFO & SFO)10/08/2014 $137.84
67828 10168 - G & K SERVICES INC Shop Towel Service (FFO & SFO)10/15/2014 $137.84
67809 10380 - ALLIED WASTE SERVICES #925 Garbage Services for Rental Residence 10/15/2014 $119.98
67849 11005 - SAN MATEO COUNTY PLANNING & BUILDING DEPT Review Fee for Silva Driveway Permit (RR)10/15/2014 $109.00
67793 10993 - SCHAFFNER, SHERYL Reimburse Expense for Land Trust Alliance Conference Sept 17-20, 2014 10/08/2014 $107.01
67836 10190 - METROMOBILE COMMUNICATIONS Control Cable for Truck Radio 10/15/2014 $96.79
Page 4 of 4
CLAIMS REPORT
MEETING 14-29
DATE 10-22-14
MIDPENINSULA REGIONAL OPEN SPACE DISTRICT
Check
Number
Notes Vendor No. and Name Invoice Description Check Date Payment
Amount
67834 10051 - JIM DAVIS AUTOMOTIVE Smog Inspection - M70/P81 10/15/2014 $90.00
67847 10256 - ROBERT'S HARDWARE Hardware (LHC)10/15/2014 $90.00
Field Supplies 10/15/2014
67831 10317 - GEMPLER'S INC Uniform Items 10/15/2014 $74.04
67788 *10261 - PROTECTION ONE Fire Inspection Monitoring (AO)10/08/2014 $66.85
67766 *10810 - A T & T Telephone - Daniel Nature Center (SR)10/08/2014 $60.92
67830 10548 - GARTSIDE, ELLEN Reimbursement - Volunteer Recognition Event Expenses 10/15/2014 $60.89
67769 10340 - BARRESI, CHRIS Cell Phone Reimbursement (Jul 2014 - Sep 2014)10/08/2014 $60.00
67813 10183 - BARRON PARK SUPPLY CO INC Plumbing Parts (RSA/CP)10/15/2014 $44.42
67837 10288 - MISSION VALLEY FORD TRUCK SALES, INC Tractor Parts 10/15/2014 $37.00
67825 11151 - FASTENAL COMPANY Hardware for Shop (FFO)10/15/2014 $27.13
67843 10134 - RAYNE OF SAN JOSE Water Service (FO)10/15/2014 $26.25
67839 10670 - O'REILLY AUTO PARTS Battery charger, Mini Bulbs, Fuel Cap 10/15/2014 $24.17
67827 10169 - FOSTER BROTHERS SECURITY SYSTEMS Supplies for New Trucks 10/15/2014 $16.60
Grand Total $779,292.89
*Annual Claims
**Hawthorn Expense
#Urgent check
BC = Bear Creek LH = La Honda Creek PR = Pulgas Ridge SG = Saratoga Gap TC = Tunitas Creek
CC = Coal Creek LR = Long Ridge PC = Purisima Creek SA = Sierra Azul WH = Windy Hill
ECdM = El Corte de Madera LT = Los Trancos RSA = Rancho San Antonio SR= Skyline Ridge AO = Administrative Office
ES = El Sereno MR = Miramontes Ridge RV = Ravenswood SCS = Stevens Creek Shoreline Nature FFO = Foothills Field Office
FH = Foothills MB = Monte Bello RR = Russian Ridge TH = Teague Hill SFO = Skyline Field Office
FO = Fremont Older PR = Picchetti Ranch SJH = St Joseph's Hill TW = Thornewood SAO = South Area Outpost
RR/MIN = Russian Ridge - Mindego Hill GP = General Preserves
R-14-126
Meeting 14-29
October 22, 2014
AGENDA ITEM 3
AGENDA ITEM
Rancho San Antonio Air Monitoring Study Final Report and Presentation
GENERAL MANAGER’S RECOMMENDATIONS
Receive the final presentation of the results from the air quality monitoring study conducted at
Rancho San Antonio Open Space Preserve and accept final monitoring report.
SUMMARY
Eric Winegar, PhD, of Winegar Air Sciences, will present final results from the air quality
monitoring study completed for the Rancho San Antonio Open Space Preserve (OSP). The study
was initiated in January 2013 and continued until equipment was removed in mid-June, 2014.
The purpose of the study was to assess perceived impacts from quarry activities on the public
who regularly visit OSP and District employees who work there daily and/or live on site. The
data collected during the study period shows that the air quality at Ranch San Antonio OSP
reflected a low-impact environment, with some effect from the nearby industrial (Lehigh
Southwest Cement Plant and Quarry) and urban areas. This is largely attributed to the
overwhelming influence of a clean marine dominated air mass which typically blows into the
area off of the Pacific Ocean, substantially diluting local pollution sources.
DISCUSSION
On January 9, 2013, the Midpeninsula Regional Open Space District (District) Board of
Director’s authorized an award of contract in the amount of $180,552 to Winegar Air Sciences,
to undertake a year-long air quality monitoring study at Rancho San Antonio Open Space
Preserve (R-13-11). This study was initiated in response to public and District staff concerns
regarding potential air quality impacts within the Preserve from the adjacent Lehigh Permanente
quarry and cement plant.
The Board was previously briefed on the project’s progress at the Board meetings of February
13, 2013, June 26, 2013, July 24, 2013 (R-13-11), February 4, 2014, and August 6, 2014. Given
the widespread interest in the study, these progress reports were also distributed to interested
parties, including adjacent municipalities and the management of Lehigh Quarry.
Sample Sites and Parameters Measured
Two primary air quality monitoring stations were established within Rancho San Antonio OSP;
one located at the Annex (main station), and the other located adjacent to the PG&E Trail, the
R-14-126 Page 2
Preserve trail closest to the Point of Maximum Impact (PMI) as identified in Lehigh’s 2011
Health Risk Assessment. The parameters monitored at these stations included the following:
• Continuous read monitoring instruments to measure:
o PM10 (particulate matter less than 10 micrometers in diameter),
o PM2.5 (particulate matter less than 2.5 micrometers in diameter, at the Annex site
only),
o Black Carbon (an established surrogate for diesel exhaust).
• Shorter duration, specific sampling events to measure specific elemental constituents
(e.g. metals) and different particle sizes (particle size and elemental analysis can provide
a unique signature of various air masses, useful in identifying plume origin).
• 24 hour integrated filter samples were also obtained for metals.
• Short-duration sampling instruments to screen for toxics which include: volatile organic
compounds (VOC’s), mercury, and chromium VI.
A third monitoring site was established at the Deer Hollow Farm. This location was set up to
monitor PM10 to compare the data with the other two sites. After an initial monitoring period of
approximately one month, data from this site indicated an overall low concentration average,
without adding appreciable value to data being collected at the PG&E and Annex sites.
Therefore monitoring at this location was discontinued.
Offsite “background” monitoring was also conducted to better understand the nature
(constituents) and movement of the urban air masses that interact with the air at the adjacent
Rancho San Antonio OSP. One background location was the roof of the District administrative
office (named OSD), and one was in a residential area, north-west and upwind of Rancho San
Antonio OSP (named BLN). Parameters monitored at the background locations include: PM10,
Black Carbon, elements/metals, and toxics (VOC’s, mercury, and chromium VI).
Additionally, the District employee residence at Rancho San Antonio OSP was monitored for
PM10. This sample site was added to collect data to compare and correlate with the nearby
Annex monitoring site given the importance and sensitivity of the residential use.
All monitoring sites were outfitted with weather sensors for wind speed and direction to help
understand air mass movements and potential plume movement at the Preserve.
Additionally, in February 2013, letters were sent to adjacent municipalities and interested parties
to inform them of the ongoing study and to inquire if there was interest in funding/expanding the
study to areas outside of Rancho San Antonio OSP. No responses were received.
Results
The data collected during the study period show that the air quality at Ranch San Antonio OSP
reflects a low-impact environment, with some effect from the nearby industrial (Lehigh
Southwest Cement Plant and Quarry) and urban areas. This is largely due to the overwhelming
influence of a clean marine dominated air mass which typically blows into the area off of the
Pacific Ocean, substantially diluting local pollution sources. The data has been evaluated against
State and Federal air quality standards established to protect human health.
Particulate matter (PM10 and PM2.5) levels measured during the study period were relatively
low or consistent with concentrations measured in adjacent urban areas, and within the region.
R-14-126 Page 3
Parameter Sample Location Average
Concentra
tion
(ug/m3)
CA
Standard;
(ug/m3)
San Francisco
Bay Air Basin
Average
Concentration
(ug/m3)
PM10 Annex 16 20 26-35
PG&E Trail 22
Background OSD 26
Background BLN 13.2
PM2.5 Annex 13 12 13-16
The PM10 data above indicates that the air upwind of Rancho San Antonio, as measured at
Background location BLN, is well below the California standard. At the Annex site in Rancho
San Antonio, PM10 is slightly higher than at the Background BLN location, but is still well
below the standard. PM10 near the property line with the Lehigh cement plant and quarry at the
PG&E Trail location however, is degraded when compared with the above sites, with
concentrations exceeding the California standards. This finding indicates that Lehigh’s operation
is impacting the PG&E Trail location. The average PM10 concentration of 22ug/m3 measured at
the PG&E location is higher than the upwind BLN background location, and the Annex, but is
consistent with, and on the low end of, average concentrations documented within the San
Francisco Bay Air Basin, as shown in the table above. The background OSD monitoring site
PM10 concentration is consistent with urban locations measured within the Air Basin.
The PM 2.5 average concentration measured at the Annex is above the California standard, yet is
also within the range of concentrations documented for the San Francisco Bay Air Basin.
Additional regional PM data is presented and discussed in the Final Report.
The data show that black carbon and most toxic parameters of potential concern were well below
human health risk levels established by the California Office of Environmental Health Hazard
Assessment. A sample of data for these parameters, from the sites with the highest measured
values during the study, is presented in the table below:
Parameter Sample Location Average
Concentration
(ng/m3)
Reference Exposure Limit
(REL)
Black Carbon Annex 235 5,000 ng/m3
PG&E Trail 332
Background BLN 269
Background OSD 602
Mercury (Hg) PG&E Trail 2.9 300 ng/m3
Chromium VI PG&E Trail 0.4 200 ng/m3
Benzene* Annex 2.3 3 ug/m3
PG&E Trail 2.7
Background BLN 2.5
Background OSD 1.6
* Benzene data affected by average of 0.73 mg/m3 in laboratory blank contamination. Results are therefore
qualified; data is likely biased high. See report for details.
R-14-126 Page 4
A broad suite of metals, and volatile organic compounds (VOCs) /gasses were measured and
analyzed as a part of this study. The concentration levels as a whole are representative of a
minimally impacted zone, adjacent to potential major sources (Lehigh, Highway 280, and urban
areas). The sampling results were below health risk levels, and are presented in the Final Report.
The air quality impacts associated with the neighboring Lehigh operations are low for most of
the parameters measured. There are some impacts, particularly in airborne calcium dust
measured in the DRUM sampler (Davis Rotating Unit for Monitoring) data, where calcium
enrichment is clearly evident. The report concludes that there are elevated levels of calcium dust
at Rancho San Antonio OSP, which is attributed to the Lehigh cement plant and quarry where
large amounts of calcium dust are produced as part of their industrial processes. The enriched
level of calcium is also a constituent of PM10, and is represented in that data as well. These
impacts at RSA are considered to be nuisance level impacts as opposed to health risk level
impacts.
The District has retained a third party Certified Industrial Health (CIH) specialist to review the
report and provide an additional opinion. This review is currently in process and is unavailable at
this time. Staff is anticipating completion in time to present at the Board meeting.
FISCAL IMPACT
The budget to conduct the air monitoring study was approved by the Board in the FY2013-14
and FY2014-15 budgets totaling $180,000. The study has been completed within the budget
allocated.
BOARD COMMITTEE REVIEW
No Board committee review was needed for this item as this subject has been taken up by the full
Board from inception.
PUBLIC NOTICE
Public notice was provided as required by the Brown Act.
CEQA COMPLIANCE
Presentation of the air quality monitoring study at Rancho San Antonio Open Space Preserve
does not constitute a project under the California Environmental Quality Act (CEQA).
NEXT STEPS
When completed, the Rancho San Antonio Air Monitoring Study Final Report will be distributed
to interested parties. Staff will continue to work with Lehigh, the BAAQMD, and Santa Clara
County, to identify and reduce nuisance level dust impacts to Rancho San Antonio OSP, and
continue to support the BAAQMD’s permit requirements, regulations, and implementation of the
Lehigh facility emissions and fugitive dust upgrades to improve local air quality and to achieve
effective air quality monitoring of operations.
Attachment
1. Final Report of Air Monitoring at Rancho San Antonio OSP.
R-14-126 Page 5
Responsible Department Head:
Kirk Lenington, Natural Resources Manager
Prepared by:
Matt Baldzikowski, Resource Planner III
WINEGAR AIR SCIENCES
OCTOBER 2014
EXECUTIVE SUMMARY
INTRODUCTION
In January 2013, Winegar Air Sciences was hired by the Midpeninsula Regional Open Space
District to undertake an extensive air quality monitoring study at Rancho San Antonio Open
Space Preserve. This study was initiated in response to public and District concerns
regarding potential air quality impacts within the Preserve from the adjacent Lehigh
Permanente quarry and cement plant. Air monitoring was conducted at the Rancho San
Antonio Open Space Preserve located within Santa Clara County, near the cities of Cupertino
and Los Altos Hills, California. Monitoring was undertaken at two main sites from January
1, 2013 to June 22, 2014: the Annex Building adjacent to the Midpeninsula Regional Open
Space District (MROSD) Foothills Field Office, and at a point on the PG&E trail. Both these
locations are noted in Figure 1. Data collection was performed at two other background
locations off site; the Open Space District Offices in Los Altos, California, and within a
residential area located in Los Altos Hills.
The objective of this monitoring was to collect data on a wide range of pollutants and other
air quality observables in order to assess the possible impact to workers and park visitors
from nearby and regional sources of pollution. As with other air quality standards, the
primary emphasis was on possible health impacts, however, secondary impacts to property
were included as well.
An extensive list of parameters, consisting of 110 separate substances or chemical species,
was measured, and is detailed in Section 2 of this report. Site selection and the methods
employed to collect the data are discussed in Sections 3 and 4 respectively. As much as
possible, EPA promulgated methods were used. Other test methods utilized standard air
monitoring approaches in terms of calibration and quality assurance.
Data was collected over a range of time resolutions--continuous, semi-continuous, episodic,
and integrated, mostly on a 1-hr basis. A sufficiently high level of data capture from the
various instruments was obtained such that seasonal trends could be examined as well as
individual events, such as occurred.
Throughout the monitoring period, regular checks were made of the equipment to ensure
good operation. Equipment failures occurred, as is normal, and substitutions or repair were
made, however, some gaps in coverage did result. Overall, however, the capture rate
provided a sufficient long-term picture of the sites.
RESULTS
The data collected was analyzed and summarized. Details will be presented in individual
sections related to each parameter. Overall averages were computed in order to compare to
long-term health standards and State and Federal air quality standards.
Tables ES-1 through ES-4 contain summaries of the different types of monitoring data as
well as comparison to relevant agency-derived health-based standards. Four types of
standards or reference concentration levels were used:
• US EPA National Ambient Air Quality Standards
• California Ambient Air Quality Standards
• Chronic Reference Exposure Level (REL)
• Regional Screening Level (RSL)
The key set of standards is the Reference Exposure Level (REL), which are based on
California Office of Environmental Health Hazard Assessment (OEHHA) evaluation
of lifetime risk from exposure. Chronic RELs are designed to address continuous
exposures for up to a lifetime: the exposure metric used is the annual average
exposure.
Another set of the health standards are the Regional Screening Levels (RSL), a
concentration-based standard that is based on the assumed exposure period of 70 years.
From the EPA Region 9 website:
“They are risk-based concentrations derived from standardized equations
combining exposure information assumptions with EPA toxicity data. SLs are
considered by the Agency to be protective for humans (including sensitive
groups) over a lifetime.”1
A health-based review was performed on the results, comments from that review are
presented later in report Section 5. The conclusion was that the majority of the measured
targets were below applicable health or regulatory standards, mostly by large factors. The
exceedances that did exist were only slightly above the standard, and for several of the
detected chemical species, were present at all sites, including upwind. Therefore, from a
health standpoint, the data set shows that there was no major exceedance of any relevant
health standard that should cause concern to workers, the visiting community, and the onsite
residences.
Major sources for exposure pathways were the Lehigh cement plant/ quarry, the nearby I-280
corridor, and the general urban area (“Silicon Valley”) in the Santa Clara valley that borders
the site to the east and north, with its attendant load of pollutants from many sources. Of
course, a major concern for many at the site and in the community was the possible impact
from the nearby cement plant and quarry. The data presented in this report shows that only
minor impacts are attributable to the cement plant. Key pollutants that would be indicative
of cement plant emissions were not detected at high levels, such as PM10, sulfur dioxide and
various toxics, including mercury and hexavalent chromium, both chemicals of special
concern. Similarly, another minor contributor was the combined other local sources, such as
the highway and urban area.
Monitoring was also conducted over two extended periods by the Bay Area Air Quality
Management District (BAAQMD)2
in response to public concerns related to potential cement
plant emissions. BAAQMD monitoring results concluded that the overall impact to the
community was low, and the general pollutant levels were consistent to many local
communities with an urban environment nearby. Tables ES-1 and ES-2shows the comparison
of the results from the local study conducted in Cupertino (Monta Vista) concurrently with
the current study.
1 http://www.epa.gov/reg3hwmd/risk/human/rb-concentration_table/faq.htm#FAQ1 2 http://www.baaqmd.gov/Divisions/Technical-Services/Special-Projects/Cupertino.aspx
Key reasons for these observations are local meteorology and topography. The dominant
wind direction is from the west-south-west (avg. = 245 degrees) and the northwest. Both
directions transport clean oceanic air over the mountains, though there is some potential for
the southwest to transport quarry fugitives. The wind pattern for the Annex supports a lower
wind speed than outside areas, suggesting a sheltering effect due to the topology. thus
affecting some regional transport.
The topography of the main trail area near the Office, Annex and leading to Deer Hollow—a
valley area with steep walls to the west, appears conducive to stagnant air and shielding from
some regional influence. The transport of polluted air masses are affected by this
topography, hence the regional upper atmosphere may become the method for transport of
polluted air masses.
Thus, the aerosol data shows found excess levels of sodium and chloride from sea salt,
showing the effect of the oceanic air influence. In fact, Table ES-2 shows that one of the few
exceedance of the RSLs for elements was for chloride, from sea salt, found in all areas. All
in all, the data shows the strong influence of cleaner air input mixed with minor influences
from other nearby sources.
A particular concern at the site was the observed deposition of white particulate on surfaces
in the area, particularly cars. This was observed as well during the study. Calcium
enhancements were found in aerosol measurements, deposition tests, wipe tests, and soil
analysis. Besides the results from the deposition samples, other aerosol results show an
excess of calcium in the atmosphere, as compared to expected levels in normal soil, a major
component of the measured aerosol. This confirms the previous examinations and
conclusions regarding the source of this deposition: the Lehigh cement plant/quarry, which
produces limestone, a calcium stone quarried at the site and used in the cement operation,
leading to both source-based emissions and fugitive emissions.
CONCLUSION
The overall conclusion from this testing program was that the Rancho San Antonio Open
Space Preserve is well-suited to recreation for a wide-range of the public due to its relatively
clean atmosphere with minimal impact from near-by industrial and urban sources.
Figure 1. Map of monitoring locations
Background sites include OSD office in Los Altos and BLN residence in Los Altos Hills
. Summary Tables of Results
Table ES-1. Results of Criteria Pollutant Monitoring
Parameter Monitoring
Location
Average
Concentration
CA Air
Quality
Standard
San Francisco Bay
Air Basin Average
Concentration
PM10
Annex 16 µg/m3
20 µg/m3—
Annual avg. 26-35 µg/m3
PG&E Trail 22 µg/m3
Background
OSD 26 µg/m3
Background
BLN 13.2 µg/m3
Cupertino 3 13.5 µg/m3
PM2.5 Annex 13 (7.0)4 12 µg/m3—
Annual avg.
µg/m3 6.5-9.1 µg/m3 Cupertino 8.6 µg/m3
Sulfur Dioxide Annex 5 0.00048 ppmv 0.040 ppmv—
24 hr. avg. 0.0025-0.008 ppmv Cupertino 0.00076 ppmv
Lead
Annex 0.001 µg/m3
0.15 µg/m3—
3 month
rolling avg.
0.005-0.006 µg/m3
PG&E Trail 0.001 µg/m3
Background
OSD
0.016 µg/m3
Background
BLN
0.001 µg/m3
Cupertino 0.023 µg/m3
Sulfate (Calc.)6
Annex
0.001 µg/m3
25 µg/m3—
24 hr. avg. NA
PG&E Trail 0.002 µg/m3
Background
OSD
0.15 µg/m3
Cupertino 1.15 µg/m3
Vinyl chloride
Annex <MDL (0.1 ppbv)
10 ppbv <MDL (0.1 ppbv)
PG&E Trail <MDL (0.1 ppbv)
Background
OSD
<MDL (0.1 ppbv)
Background
BLN
<MDL (0.1 ppbv)
Cupertino <MDL (0.1 ppbv)
3 Cupertino site refers to Monta Vista monitoring site operated by BAAQMD.
4Estimated alternative concentration based on area PM2.5/PM10 ratio. See text for details.
5 Annex was lone location for SO2 monitoring. 6 Multiplied sulfur concentration by a factor of 3 to obtain sulfate estimate.
Table ES-2. Results of Non-criteria Pollutants/Toxics Monitoring
Parameter Sample Location Average
Concentration
Reference Health
Standard
Concentration
Black Carbon
Annex 235 ng/m3
5,000 ng/m3 (REL) PG&E Trail 332 ng/m3
Background BLN 269 ng/m3
Background OSD 602 ng/m3
Mercury (Hg)
Annex 1.0 ng/m3
300 ng/m3 (REL)
PG&E Trail 2.9 ng/m3
Background OSD 0.25 ng/m3
Background BLN 0.35 ng/m3
Cupertino 2.0 ng/m3
Chromium VI
Annex 0.011 ng/m3
100 ng/m3 (REL)
PG&E Trail 0.40 ng/m3
Background OSD 0.008 ng/m3
Background BLN 0.040 ng/m3
Cupertino NA
ES-3. Results of Toxics Sampling
Target
VOC
OEHHA
REL
µg/m3
Annex PGE OSD BLN Residential Air
RSL
(µg/m3)
Ind. Air RSL
(µg/m3) *--- =
No Standard/
Non-detected
(µg/m3) Exceeds
REL? (µg/m3) Exceeds
REL? (µg/m3) Exceeds
REL? (µg/m3) Exceeds
REL?
2,2,4-Trimethylpentane --- 1.22 NA 2.19 NA --- --- 0.92 NA 700 --
2-Butanone --- 3.21 NA 7.16 NA --- --- --- --- 520 2200
4-Ethyltoluene --- 0.76 NA 1.18 NA --- --- --- --- 0.97 260
Acetone --- 11.19 NA 8.99 NA 11.99 NA 10.87 NA 3200 14000
Benzene* 3 2.4 No 2.7 No 1.6 No 2.5 No 0.36 1.6
Bromomethane 5 0.62 No 1.05 No -- --- --- --- 0.52 2.2
Dichloromethane 400 1.30 No 1.98 No 1.24 No --- --- 63 260
Ethylbenzene --- --- --- 0.15 NA --- --- --- --- 1.1 4.9
Toluene 300 2.04 No 10.46 No --- --- 0.76 No 520 2200
Trichlorofluoromethane --- 1.38 NA 1.36 NA 1.29 NA 1.35 NA 73 310
*Benzene data affected by average of 0.73 µg/m3 in laboratory blank contamination. Results are therefore qualified; data is likely biased high. See text for
more details.
Table ES-4. Results of Elemental Monitoring
Parameter--
elements
OEHHA
REL
(µg/m3)
Annex PGE OSD BLN
Avg.
Conc.
(µg/m3)
Exceeds
REL?
Avg.
Conc.
(µg/m3)
Exceeds
REL?
Avg.
Conc.
(µg/m3)
Exceeds
REL?
Avg.
Conc.
(µg/m3)
Exceeds
REL?
Arsenic 0.015 0.00020 No 0.00039 No 0.000001 No 0.00022 No
Cadmium 0.02 0.00042 No 0.00112 No -- -- 0.00065 No
Chlorine (sea salt) 0.2 0.85 Yes 1.5 Yes 0.43 Yes 0.82 Yes
Manganese 0.09 0.00523 No 0.00750 No 0.0016 No 0.00319 No
Mercury 0.03 0.00023 No 0.00018 No -- -- 0.00022 No
Nickel 0.014 0.00060 No 0.00073 No 0.0001 No 0.00060 No
Selenium 20 0.00084 No 0.0019 No 0.0007 No 0.00113 No
Notes:
1.Annex and PG&E Trail monitoring sites were located within Rancho San Antonio OSP.
Background OSD location was located at the District Administrative Office, Background BLN
was located in Los Altos Hills, typically upwind of Rancho San Antonio.
2. “California Air Quality Standard” refer to the statutory State of California ambient air quality
standards.7
3. “REL” is the reference exposure limit, produced by the California Office of Health Hazard
Assessments (OEHHA). The REL is defined as “an airborne level that
would pose no significant health risk to individuals indefinitely exposed to that level.”8
4. San Francisco Bay Area Average concentrations are derived from a BAAQMD report.9
7 http://www.arb.ca.gov/research/aaqs/caaqs/caaqs.htm
8 Office of Environmental Health Hazard Assessment 2007, Adoption of chronic reference exposure levels
(RELS) for airborne toxicants [12/28/01], Office of Environmental Health Hazard Assessment Sacramento,
accessed 31/1/2012, <http://www.oehha.ca.gov/air/chronic_rels/1201Crels.html>
9 Initial Study/Negative Declaration for the Amendments to Bay Area Air Quality Management District Regulation 9, Rule 10:
Nitrogen Oxides and Carbon Monoxide from Boilers, Steam Generators and Process Heaters in Petroleum Refineries,
Environmental Audit, Inc.
Winegar Air Sciences
Final Report
Ambient Air Assessment at
Rancho San Antonio Open Space Preserve
Prepared for:
Mid-Peninsula Regional Open Space District
Los Altos, California
Prepared by:
Eric Winegar, PhD
Winegar Air Sciences
Rancho Cordova, California
October 2014
Ambient Air Assessment at i
MROSD Park Rancho San Antonio October 2014
Acknowledgements
Dr. Thomas A. Cahill of the UC Davis DELTA Group and Department of Physics provided
portions of the sections relating to DRUM sampler data analysis. Dr. David Barnes, also of
DELTA, provided assistance in DRUM sampler setup, data processing as well as field operations.
Thanks go to both of them.
The Rancho San Antonio staff was always willing and helpful to provide equipment and personal
transport to the PGE site. This was appreciated always.
Ambient Air Assessment at ii
MROSD Park Rancho San Antonio October 2014
Table of Contents
1.0 Introduction ......................................................................................................................... 1
2.0 Technical Approach—Target Substances ........................................................................... 2
2.1. Target List Rationale ........................................................................................................ 2
2.2. Atmospheric Contaminants .............................................................................................. 3
2.2.1. Aerosols .................................................................................................................... 3
2.2.2. Gases ......................................................................................................................... 5
2.2.3. Volatile Organic Compounds ................................................................................... 5
2.3. Comprehensive Target List .............................................................................................. 6
3.0 Technical Approach--Site Selection ................................................................................... 9
3.1. Site Descriptions .............................................................................................................. 9
3.1.1. Annex Site ................................................................................................................. 9
3.1.2. PGE Site .................................................................................................................... 9
3.1.3. OSD Site ................................................................................................................... 9
3.1.4. BLN Site ................................................................................................................. 10
4.0 Technical Approach—Methodology ................................................................................ 13
4.1. Aerosols .......................................................................................................................... 13
4.1.1. PM10/PM2.5--Fixed ............................................................................................... 13
4.1.2. PM10--Portable ....................................................................................................... 14
4.1.3. Elemental Composition and Size ............................................................................ 14
4.1.4. Black Carbon .......................................................................................................... 18
4.1.5. Hexavalent Chromium ............................................................................................ 19
4.2. Gases .............................................................................................................................. 19
4.2.1. Sulfur Dioxide ......................................................................................................... 19
4.2.2. Mercury ................................................................................................................... 19
4.3. Volatile Organic Compounds ......................................................................................... 20
5.0 Results and Discussion ..................................................................................................... 21
5.1. Meteorology ................................................................................................................... 21
6.0 Annex Results and Discussion .......................................................................................... 35
6.1. Annex PM10 .................................................................................................................. 35
6.1.1. BAM PM10 Results ................................................................................................ 35
6.1.2. Partisol PM10 Results ............................................................................................. 42
6.2. Annex PM2.5 ................................................................................................................. 44
6.2.1. Alternative Approach to PM2.5 .............................................................................. 47
6.3. Annex—Black Carbon ................................................................................................... 49
6.4. Annex--Sulfur Dioxide ................................................................................................... 52
6.5. Annex—Elements .......................................................................................................... 57
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6.5.1. Annex-8DRUM....................................................................................................... 57
6.5.2. Annex- 2DRUM...................................................................................................... 71
7.0 PGE Results and Discussion ............................................................................................. 76
7.1.1. PGE PM10 .............................................................................................................. 76
7.1.2. PGE-Black Carbon.................................................................................................. 83
7.1.3. PGE-Elements ......................................................................................................... 87
8.0 OSD Site Data ................................................................................................................... 98
8.1.1. OSD Meteorology ................................................................................................... 98
8.1.2. OSD PM10 .............................................................................................................. 98
8.1.3. OSD Black Carbon ............................................................................................... 101
8.1.4. OSD Elements ....................................................................................................... 103
9.0 BLN Site Data ................................................................................................................. 108
9.1.1. BLN Meteorology ................................................................................................. 108
9.1.2. BLN PM10 ............................................................................................................ 108
9.1.3. BLN Black Carbon ............................................................................................... 108
10.0 Toxics—all Sites ............................................................................................................. 110
10.1.1. Volatile Organic Compounds ............................................................................ 110
10.1.2. Mercury ............................................................................................................. 113
10.1.3. Hexavalent Chromium ...................................................................................... 114
11.0 Observations ................................................................................................................... 115
11.1.1. AAQS Violations .............................................................................................. 115
11.1.2. Calcium Carbonate Enhancement ..................................................................... 119
11.1.3. Plume Visuals .................................................................................................... 124
11.2. Site Comparisons ...................................................................................................... 133
11.2.1. Annex-PGE-BLN .............................................................................................. 133
11.2.2. Diurnal Patterns ................................................................................................. 136
11.2.3. Residence-Annex Comparison—PM10 ............................................................ 139
11.2.4. Gradient--Mercury ............................................................................................ 140
11.2.5. Hexavalent Chromium ...................................................................................... 140
11.2.6. Wind Direction Trends ...................................................................................... 142
11.2.7. BAAQMD Data................................................................................................. 144
12.0 Health-based Risk Level Comparisons ........................................................................... 145
12.1. External Review ....................................................................................................... 145
12.3. Risk Comparison Tables ........................................................................................... 148
13.0 Conclusions ..................................................................................................................... 154
2.0 Introduction ......................................................................................................................... 1
3.0 Technical Approach—Target Substances ........................................................................... 2
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3.1. Target List Rationale ........................................................................................................ 2
3.2. Atmospheric Contaminants .............................................................................................. 3
3.2.1. Aerosols .................................................................................................................... 3
3.2.1.1. PM10 ................................................................................................................. 3
3.2.1.2. PM2.5 ................................................................................................................ 3
3.2.1.3. Black Carbon ..................................................................................................... 4
3.2.1.4. Hexavalent Chromium ....................................................................................... 5
3.2.2. Gases ......................................................................................................................... 5
3.2.2.1. Sulfur Dioxide ................................................................................................... 5
3.2.2.2. Mercury ............................................................................................................. 5
3.2.3. Volatile Organic Compounds ................................................................................... 5
3.3. Comprehensive Target List .............................................................................................. 6
4.0 Technical Approach--Site Selection ................................................................................... 9
4.1. Site Descriptions .............................................................................................................. 9
4.1.1. Annex Site ................................................................................................................. 9
4.1.2. PGE Site .................................................................................................................... 9
4.1.3. OSD Site ................................................................................................................... 9
4.1.4. BLN Site ................................................................................................................. 10
5.0 Technical Approach—Methodology ................................................................................ 13
5.1. Aerosols .......................................................................................................................... 13
5.1.1. PM10/PM2.5--Fixed ............................................................................................... 13
5.1.2. PM10--Portable ....................................................................................................... 14
5.1.3. Elemental Composition and Size ............................................................................ 14
5.1.3.1. DRUM Sampler ............................................................................................... 15
5.1.3.2. Partisol Sampler ............................................................................................... 17
5.1.4. Black Carbon .......................................................................................................... 18
5.1.5. Hexavalent Chromium ............................................................................................ 19
5.2. Gases .............................................................................................................................. 19
5.2.1. Sulfur Dioxide ......................................................................................................... 19
5.2.2. Mercury ................................................................................................................... 19
5.3. Volatile Organic Compounds ......................................................................................... 20
6.0 Results and Discussion ..................................................................................................... 21
6.1. Meteorology ................................................................................................................... 21
6.1.1.1. Annex............................................................................................................... 22
6.1.1.2. PGE .................................................................................................................. 26
6.1.1.3. Lehigh .............................................................................................................. 27
6.1.1.4. Cupertino/Monta Vista .................................................................................... 27
6.1.1.5. Los Altos Hills ................................................................................................. 30
6.1.1.1. Moffet Field ..................................................................................................... 32
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6.1.1.2. Terrain Effects ................................................................................................. 33
7.0 Annex Results and Discussion .......................................................................................... 35
7.1. Annex PM10 .................................................................................................................. 35
7.1.1. BAM PM10 Results ................................................................................................ 35
7.1.2. Partisol PM10 Results ............................................................................................. 42
7.2. Annex PM2.5 ................................................................................................................. 44
7.2.1. Alternative Approach to PM2.5 .............................................................................. 47
7.3. Annex—Black Carbon ................................................................................................... 49
7.4. Annex--Sulfur Dioxide ................................................................................................... 52
7.5. Annex—Elements .......................................................................................................... 57
7.5.1. Annex-8DRUM....................................................................................................... 57
7.5.2. Annex- 2DRUM...................................................................................................... 71
8.0 PGE Results and Discussion ............................................................................................. 76
8.1.1. PGE PM10 .............................................................................................................. 76
8.1.1.1. Daytime vs. Night Time Emissions ................................................................. 79
8.1.2. PGE-Black Carbon.................................................................................................. 83
8.1.3. PGE-Elements ......................................................................................................... 87
8.1.3.1. PGE1 DRUM ................................................................................................... 87
8.1.3.2. PGE 2 DRUM .................................................................................................. 94
9.0 OSD Site Data ................................................................................................................... 98
9.1.1. OSD Meteorology ................................................................................................... 98
9.1.2. OSD PM10 .............................................................................................................. 98
9.1.3. OSD Black Carbon ............................................................................................... 101
9.1.4. OSD Elements ....................................................................................................... 103
9.1.4.1. OSD DRUM .................................................................................................. 103
10.0 BLN Site Data ................................................................................................................. 108
10.1.1. BLN Meteorology ............................................................................................. 108
10.1.2. BLN PM10 ........................................................................................................ 108
10.1.3. BLN Black Carbon ............................................................................................ 108
11.0 Toxics—all Sites ............................................................................................................. 110
11.1.1. Volatile Organic Compounds ............................................................................ 110
11.1.2. Mercury ............................................................................................................. 113
11.1.3. Hexavalent Chromium ...................................................................................... 114
12.0 Observations ................................................................................................................... 115
12.1.1. AAQS Violations .............................................................................................. 115
12.1.1.1. Annex—PM2.5 ............................................................................................. 115
12.1.1.2. PGE PM10..................................................................................................... 115
12.1.2. Calcium Carbonate Enhancement ..................................................................... 119
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12.1.2.1. Elemental Data Ratio .................................................................................... 119
12.1.2.2. Elemental Abundance Ratio .......................................................................... 119
12.1.2.3. Directional Dependence of Calcium Detection ............................................. 120
12.1.2.4. Passive Sampler............................................................................................. 122
12.1.2.5. Soil Samples .................................................................................................. 122
12.1.3. Plume Visuals .................................................................................................... 124
12.1.3.1. Plume from Plant ........................................................................................... 124
12.1.3.2. Blast Plume ................................................................................................... 128
12.1.3.3. Blast Event .................................................................................................... 128
12.1.3.4. Haze Observation: June 21, 2013 7 AM ....................................................... 130
12.1.3.5. Regional meteorological Conditions during sampling .................................. 131
12.1.3.6. Deer Hollow—Influence of close sources .................................................... 132
12.2. Site Comparisons ...................................................................................................... 133
12.2.1. Annex-PGE-BLN .............................................................................................. 133
12.2.2. Diurnal Patterns ................................................................................................. 136
12.2.3. Residence-Annex Comparison—PM10 ............................................................ 139
12.2.4. Gradient--Mercury ............................................................................................ 140
12.2.5. Hexavalent Chromium ...................................................................................... 140
12.2.6. Wind Direction Trends ...................................................................................... 142
12.2.7. BAAQMD Data................................................................................................. 144
13.0 Health-based Risk Level Comparisons ........................................................................... 145
13.1. External Review ....................................................................................................... 145
13.3. Risk Comparison Tables ........................................................................................... 148
14.0 Conclusions ..................................................................................................................... 154
15.0 Appendices ...................................................................................................................... 155
15.1. Appendix A. California Ambient Air Quality Standards ........................................ 156
15.2. Appendix B. BAAQMD Cupertino report. ............................................................. 157
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List of Figures
Figure ES-1. Map of monitoring locations ................................................................................. xiv
Figure 1. Source Categories/Test Locations at Rancho San Antonio .......................................... 11
Figure 2. Photos of Monitoring instruments ................................................................................ 12
Figure 3. BAM and EBAM PM10 Monitoring Instruments ........................................................ 14
Figure 4. DRUM Sampler Size Cuts and Impactor ..................................................................... 16
Figure 5. Partisol Sampler at Annex Site/ Aethalometer at PGE Site ......................................... 17
Figure 6. Annual Wind Rose for Annex ...................................................................................... 22
Figure 7. Annex wind roses by time of day. ................................................................................ 23
Figure 8. Annex Wind Rose by Month ........................................................................................ 24
Figure 9. Wind rose by time of day at Residence ........................................................................ 25
Figure 10. Annual Wind Rose—PGE .......................................................................................... 26
Figure 11. Annual Wind Rose--Lehigh ....................................................................................... 27
Figure 12. Annual Wind Rose—Cupertino (Monta Vista) .......................................................... 28
Figure 13. Cupertino Wind Rose by Hour of the Day ................................................................. 29
Figure 14. Annual Wind Rose for Los Altos Hills ...................................................................... 30
Figure 15. Wind Rose for Time of Day at Los Altos Hill RAWS station ................................... 31
Figure 16. Annual Wind Rose for Moffett Field ......................................................................... 32
Figure 17. Effect of Location and Elevation on Transport of Pollution ...................................... 34
Figure 18. Hourly PM10 Measurements ...................................................................................... 37
Figure 19. Representative short-term high PM10 concentration ................................................. 38
Figure 20. Detail of High and Low Values .................................................................................. 39
Figure 21. Daily PM10 Averages ................................................................................................ 40
Figure 22. 24-Hr Concentration Histogram ................................................................................. 41
Figure 23. Annex PM10 Monthly Averages ................................................................................ 42
Figure 24. Annex Integrated PM10 Mass .................................................................................... 43
Figure 26. 24-hr. PM2.5 Averages............................................................................................... 46
Figure 27. Annex PM2.5 Monthly Averages ............................................................................... 47
Figure 28. Black Carbon—5 minute concentrations.................................................................... 50
Figure 29. 24-hr Average Black Carbon. ..................................................................................... 51
Figure 30. Monthly PM2.5 and Black Carbon Averages ............................................................. 52
Figure 31. Sulfur Dioxide Concentrations. .................................................................................. 53
Figure 32. Short-term Concentration and Wind Direction Dependence...................................... 55
Figure 33. Diurnal Pattern Sulfur Dioxide—Annex and Monta Vista/BAAQMD ..................... 56
Figure 34. Silicon from soil versus time. ..................................................................................... 59
Figure 35. Iron from soil versus time........................................................................................... 59
Figure 36. Calcium from soil and another calcium-rich source versus time. .............................. 60
Figure 37. Calcium versus scaled silicon, showing the non-soil calcium source, 35 to 10 µm. . 61
Figure 38. Calcium versus scaled silicon ..................................................................................... 61
Figure 39. Calcium versus scaled silicon ..................................................................................... 62
Figure 40. Calcium versus scaled silicon, .................................................................................... 62
Figure 41. Size distribution of soil derived elements .................................................................. 63
Figure 42. Coarse chlorine, typically oceanic in origin. .............................................................. 64
Figure 43. The coarse sulfur is confirmation of an oceanic source. ............................................. 64
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Figure 44. Average Concentrations of Crustal Elements by Size ................................................ 65
Figure 45. Average Concentrations of Crustal Elements Plus Sulfur by Size ............................. 66
Figure 46. Average Concentrations Industrial Aerosols .............................................................. 67
Figure 47. Plot of Annex Aerosol Elements Concentrations by Size .......................................... 70
Figure 48. Annex—Fall Test Period/Coarse Fraction ................................................................. 72
Figure 49. Annex—Fall. Coarse and Fine Sulfur ....................................................................... 73
Figure 50. Annex—Fall, Coarse Crustal Elements ...................................................................... 74
Figure 51. RT and Hourly PM10 at PGE Site ............................................................................. 77
Figure 52. PGE PM10 24-Hr Averages ....................................................................................... 78
Figure 53. PGE June 2013 ........................................................................................................... 79
Figure 54. Low wind speed effect at PGE ................................................................................... 80
Figure 55. PGE Daytime concentrations vs. Night time .............................................................. 81
Figure 56. PGE Evening Emissions Comparison ........................................................................ 81
Figure 57. PGE PM10 Diurnal Pattern. ....................................................................................... 82
Figure 58. PGE BC—May 2013-August 2013 ............................................................................ 84
Figure 59. PGE BC, September 2013-November, 2013 .............................................................. 85
Figure 60. PGE BC: January 2014-Apr 2014 .............................................................................. 86
Figure 61. Fine Crustal Elements and Sea Salt ............................................................................ 87
Figure 62. Coarse Silicon, chlorine and sulfur ............................................................................. 88
Figure 63. Coarse and Fine Fractions .......................................................................................... 89
Figure 64. Coarse crustal elements .............................................................................................. 90
Figure 65. Fine Crustal Elements................................................................................................. 91
Figure 66. Fine Trace Metals ........................................................................................................ 92
Figure 67. Coarse Crustal Elements............................................................................................. 94
Figure 68. PGE Coarse Sulfur ...................................................................................................... 95
Figure 69. Fine Sulfur and Potassium .......................................................................................... 96
Figure 70. PM10 Data from OSD Office .................................................................................... 99
Figure 71. OSD Diurnal Pattern................................................................................................. 100
Figure 72. Black Carbon—5 minute .......................................................................................... 101
Figure 73. BC Diurnal Pattern at OSD. ..................................................................................... 102
Figure 74. Coarse Source Category Elements ........................................................................... 103
Figure 75. Fine Source Category Elements ............................................................................... 104
Figure 76. Coarse Crustal Aerosols ........................................................................................... 105
Figure 77. Fine Crustal Aerosols ............................................................................................... 105
Figure 78. Fine Trace Metals ...................................................................................................... 106
Figure 79. Black Carbon at BLN ................................................................................................ 108
Figure 80. BLN Diurnal Pattern................................................................................................. 109
Figure 81. PGE and Annex PM10 Data, June 2013 .................................................................. 117
Figure 82. PGE and Annex Diurnal PM10 ................................................................................. 118
Figure 83. PGE PM10 Diurnal Pattern ..................................................................................... 118
Figure 84. Wind Direction Dependence of silicon and calcium. ................................................ 120
Figure 85. Wind Direction Dependence on Calcium enrichment .............................................. 121
Figure 86. Point and Fugitive Emissions from Lehigh Plant—Nov 15, 2013 15:00 ................. 124
Figure 87. Wind data for November 15, 2013 ........................................................................... 125
Figure 88. Hysplit Trajectory Model—shows origin of air masses ........................................... 126
Figure 89. Annex PM10 ............................................................................................................. 126
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Figure 90. Annual Wind Rose for Lehigh ................................................................................. 127
Figure 91. PGE Data during blast .............................................................................................. 128
Figure 92. Plume from blast, May 25, 2013 2 PM .................................................................... 129
Figure 93. PGE data during observation of Lehigh haze event. ................................................ 130
Figure 94. Meteorological Conditions—Mercury Sampling ...................................................... 131
Figure 95. Deer Hollow diurnal pattern ..................................................................................... 132
Figure 96. Plot of Average Elemental Concentration ................................................................ 135
Figure 97. Annex PM Diurnal Patterns...................................................................................... 136
Figure 98. Annex PM10, Annex PM2.5, OSD PM10 ............................................................... 137
Figure 99. Black Carbon Diurnal Pattern .................................................................................. 138
Figure 100. Monthly Annex Black Carbon Diurnal .................................................................. 139
Figure 101. Wind Direction Dependence of PM10 ................................................................... 142
Figure 102. Wind Direction Dependence of BC and PM10 ...................................................... 143
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List of Tables
Table 1. Target Substances and Methodology……………………………………………..6
Table 2. PM2.5/PM10 Ratios………………………………………………………………48
Table 3. Comparison of Site Ratios………………………………………………………...58
Table 4. Annex DRUM Concentrations by Size……………………………………………68
Table 5. DRUM Annex-4: September 26-November 4, 2013…………………………….75
Table 6. PGE1 DRUM Average Concentrations…………………………………………...93
Table 7. Summary of PGE 2 DRUM data…………………………………………………97
Table 8. DRUM Results at OSD Site……………………………………………………...111
Table 9. All VOC Averages………………………………………………………………113
Table 10. Mercury Sampling Results ……………………………………………………..114
Table 11. Summary of Mercury Measurements…………………………………………..114
Table 12. Hexavalent chromium Data…………………………………………………….115
Table 13. Site Averages Hexavalent Chromium………………………………………….115
Table 14. California AAQS Violations……………………………. ……………………..115
Table 15. Elemental Enhancement………………………………………………………..119
Table 16. Passive Sampler Results………………………………………………………..122
Table 17. Soil Samples—Calcium Enrichment…………………………………………...134
Table 18. 24-hr Integrated Sampling/XRF Analysis ……………………………………..134
Table 19. Elemental Ratios……………………………………………………………….136
Table 20. Mercury Gradient………………………………………………………………140
Table 21. Mercury Gradient Sample Pairings…………………………………………….141
Table 22. Mercury Gradients by Site………………………………………………………141
Table 23. BAAQMD and RSA Data………………………………………………………144
Table 24. Table 1: Comparison of Results with Health-based Risk
Levels………………………………………………………………………………………149
Table 25. Table 2:. Comparison of RSA Data for Risk Levels for
Aerosols and Criteria Pollutants……………………………………………………………151
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EXECUTIVE SUMMARY
INTRODUCTION
In January 2013, Winegar Air Sciences was hired by the Midpeninsula Regional Open Space
District to undertake an extensive air quality monitoring study at Rancho San Antonio Open
Space Preserve. This study was initiated in response to public and District concerns
regarding potential air quality impacts within the Preserve from the adjacent Lehigh
Permanente quarry and cement plant. Air monitoring was conducted at the Rancho San
Antonio Open Space Preserve located within Santa Clara County, near the cities of
Cupertino and Los Altos Hills, California. Monitoring was undertaken at two main sites from
January 1, 2013 to June 22, 2014: the Annex Building adjacent to the Midpeninsula Regional
Open Space District (MROSD) Foothills Field Office, and at a point on the PG&E trail.
Both these locations are noted in Figure 1. Data collection was performed at two other
background locations off site; the Open Space District Offices in Los Altos, California, and
within a residential area located in Los Altos Hills.
The objective of this monitoring was to collect data on a wide range of pollutants and other
air quality observables in order to assess the possible impact to workers and park visitors
from nearby and regional sources of pollution. As with other air quality standards, the
primary emphasis was on possible health impacts, however, secondary impacts to property
were included as well.
An extensive list of parameters, consisting of 110 separate substances or chemical species,
was measured, and is detailed in Section 2 of this report. Site selection and the methods
employed to collect the data are discussed in Sections 3 and 4 respectively. As much as
possible, EPA promulgated methods were used. Other test methods utilized standard air
monitoring approaches in terms of calibration and quality assurance.
Data was collected over a range of time resolutions--continuous, semi-continuous, episodic,
and integrated, mostly on a 1-hr basis. A sufficiently high level of data capture from the
various instruments was obtained such that seasonal trends could be examined as well as
individual events, such as occurred.
Throughout the monitoring period, regular checks were made of the equipment to ensure
good operation. Equipment failures occurred, as is normal, and substitutions or repair were
made, however, some gaps in coverage did result. Overall, however, the capture rate
provided a sufficient long-term picture of the sites.
RESULTS
The data collected was analyzed and summarized. Details will be presented in individual
sections related to each parameter. Overall averages were computed in order to compare to
long-term health standards and State and Federal air quality standards.
Tables ES-1 through ES-4 contain summaries of the different types of monitoring data as
well as comparison to relevant agency-derived health-based standards. Four types of
standards or reference concentration levels were used:
US EPA National Ambient Air Quality Standards
California Ambient Air Quality Standards
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Chronic Reference Exposure Level (REL)
Regional Screening Level (RSL)
The key set of standards is the Reference Exposure Level (REL), which are based on
California Office of Environmental Health Hazard Assessment (OEHHA) evaluation
of lifetime risk from exposure. Chronic RELs are designed to address continuous
exposures for up to a lifetime: the exposure metric used is the annual average
exposure.
Another set of the health standards are the Regional Screening Levels (RSL), a
concentration-based standard that is based on the assumed exposure period of 70 years.
From the EPA Region 9 website:
“They are risk-based concentrations derived from standardized equations
combining exposure information assumptions with EPA toxicity data. SLs are
considered by the Agency to be protective for humans (including sensitive
groups) over a lifetime.”1
A health-based review was performed on the results, comments from that review are
presented later in report Section 5. The conclusion was that the majority of the measured
targets were below applicable health or regulatory standards, mostly by large factors. The
exceedances that did exist were only slightly above the standard, and for several of the
detected chemical species, were present at all sites, including upwind. Therefore, from a
health standpoint, the data set shows that there was no major exceedance of any relevant
health standard that should cause concern to workers, the visiting community, and the onsite
residences.
Major sources for exposure pathways were the Lehigh cement plant/ quarry, the nearby I-280
corridor, and the general urban area (“Silicon Valley”) in the Santa Clara valley that borders
the site to the east and north, with its attendant load of pollutants from many sources. Of
course, a major concern for many at the site and in the community was the possible impact
from the nearby cement plant and quarry. The data presented in this report shows that only
minor impacts are attributable to the cement plant. Key pollutants that would be indicative
of cement plant emissions were not detected at high levels, such as PM10, sulfur dioxide and
various toxics, including mercury and hexavalent chromium, both chemicals of special
concern. Similarly, another minor contributor was the combined other local sources, such as
the highway and urban area.
Monitoring was also conducted over two extended periods by the Bay Area Air Quality
Management District (BAAQMD)2 in response to public concerns related to potential cement
plant emissions. BAAQMD monitoring results concluded that the overall impact to the
community was low, and the general pollutant levels were consistent to many local
communities with an urban environment nearby. Tables ES-1 and ES-2shows the comparison
of the results from the local study conducted in Cupertino (Monta Vista) concurrently with
the current study.
Key reasons for these observations are local meteorology and topography. The dominant
wind direction is from the west-south-west (avg. = 245 degrees) and the northwest. Both
directions transport clean oceanic air over the mountains, though there is some potential for
1 http://www.epa.gov/reg3hwmd/risk/human/rb -concentration_table/faq.htm#FAQ1
2 http://www.baaqmd.gov/Divisions/Technical -Services/Special-Projects/Cupertino.aspx
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the southwest to transport quarry fugitives. The wind pattern for the Annex supports a lower
wind speed than outside areas, suggesting a sheltering effect due to the topology. thus
affecting some regional transport.
The topography of the main trail area near the Office, Annex and leading to Deer Hollow—a
valley area with steep walls to the west, appears conducive to stagnant air and shielding from
some regional influence. The transport of polluted air masses are affected by this
topography, hence the regional upper atmosphere may become the method for transport of
polluted air masses.
Thus, the aerosol data shows found excess levels of sodium and chloride from sea salt,
showing the effect of the oceanic air influence. In fact, Table ES-2 shows that one of the few
exceedance of the RSLs for elements was for chloride, from sea salt, found in all areas. All
in all, the data shows the strong influence of cleaner air input mixed with minor influences
from other nearby sources.
A particular concern at the site was the observed deposition of white particulate on surfaces
in the area, particularly cars. This was observed as well during the study. Calcium
enhancements were found in aerosol measurements, deposition tests, wipe tests, and soil
analysis. Besides the results from the deposition samples, other aerosol results show an
excess of calcium in the atmosphere, as compared to expected levels in normal soil, a major
component of the measured aerosol. This confirms the previous examinations and
conclusions regarding the source of this deposition: the Lehigh cement plant/quarry, which
produces limestone, a calcium stone quarried at the site and used in the cement operation,
leading to both source-based emissions and fugitive emissions.
CONCLUSION
The overall conclusion from this testing program was that the Rancho San Antonio Open
Space Preserve is well-suited to recreation for a wide-range of the public due to its relatively
clean atmosphere with minimal impact from near-by industrial and urban sources.
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Figure ES-1. Map of monitoring locations
Background sites include OSD office in Los Altos and BLN residence in Los Altos Hills
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SUMMARY TABLES OF RESULTS
Table ES-1. Results of Criteria Pollutant Monitoring
Parameter Monitoring
Location
Average
Concentration
CA Air
Quality
Standard
San Francisco
Bay
Air Basin
Average
Concentration
PM10
Annex 16 µg/m3
20 µg/m3—
Annual avg. 26-35 µg/m3
PG&E Trail 22 µg/m3
Background
OSD 26 µg/m3
Background
BLN 13.2 µg/m3
Cupertino3 13.5 µg/m3
PM2.5
Annex 13 (7.0)4 µg/m3 12 µg/m3—
Annual avg. 6.5-9.1 µg/m3 Cupertino 8.6 µg/m3
Sulfur Dioxide
Annex5 0.00048 ppmv 0.040 ppmv—
24 hr. avg. 0.0025-0.008 ppmv Cupertino 0.00076 ppmv
Lead
Annex 0.001 µg/m3
0.15 µg/m3—
3 month
rolling avg.
0.005-0.006 µg/m3
PG&E Trail 0.001 µg/m3
Background
OSD
0.016 µg/m3
Background
BLN
0.001 µg/m3
Cupertino 0.023 µg/m3
Sulfate (Calc.)6
Annex 0.001 µg/m3
25 µg/m3—
24 hr. avg. NA
PG&E Trail 0.002 µg/m3
Background
OSD
0.15 µg/m3
Cupertino 1.15 µg/m3
Vinyl chloride
Annex <MDL (0.1 ppbv)
10 ppbv <MDL (0.1 ppbv)
PG&E Trail <MDL (0.1 ppbv)
Background
OSD
<MDL (0.1 ppbv)
Background
BLN
<MDL (0.1 ppbv)
Cupertino <MDL (0.1 ppbv)
3 Cupertino site refers to Monta Vista monitoring site operat ed by BAAQMD.
4Estimated alternative concentration based on area PM2.5/PM10 ratio. See text for details.
5 Annex was lone location for SO2 monitoring.
6 Multiplied sulfur concentration by a factor of 3 to obtain sulfate estimate.
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MROSD Park Rancho San Antonio October 2014
Table ES-2. Results of Non-criteria Pollutants/Toxics Monitoring
Parameter Sample Location Average
Concentration
Reference Health
Standard
Concentration
Black Carbon
Annex 235 ng/m3
5,000 ng/m3 (REL) PG&E Trail 332 ng/m3
Background BLN 269 ng/m3
Background OSD 602 ng/m3
Mercury (Hg)
Annex 1.0 ng/m3
300 ng/m3 (REL)
PG&E Trail 2.9 ng/m3
Background OSD 0.25 ng/m3
Background BLN 0.35 ng/m3
Cupertino 2.0 ng/m3
Chromium VI
Annex 0.011 ng/m3
100 ng/m3 (REL)
PG&E Trail 0.40 ng/m3
Background OSD 0.008 ng/m3
Background BLN 0.040 ng/m3
Cupertino NA
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MROSD Park Rancho San Antonio October 2014
Table ES-3. Results of Toxics Sampling
Target
VOC
OEHHA
REL
µg/m3
Annex PGE OSD BLN Residential Air
RSL
(µg/m3)
Ind. Air RSL
(µg/m3) *--- =
No Standard/
Non-detected
(µg/m3) Exceeds
REL? (µg/m3) Exceeds
REL? (µg/m3) Exceeds
REL? (µg/m3) Exceeds
REL?
2,2,4-Trimethylpentane --- 0.71 NA 1.9 NA --- --- 0.59 NA 700 --
2-Butanone --- 1.2 NA 7.2 NA --- --- --- --- 520 2200
4-Ethyltoluene --- 0.86 NA 0.93 NA --- --- --- --- 0.97 260
Acetone --- 8.8 NA 9.4 NA 9.4 NA 6.5 NA 3200 14000
Benzene* 3 2.3 No 2.7 No 1.6 No 2.5 No 0.36 1.6
Bromomethane 5 0.62 No 0.32 No -- --- --- --- 0.52 2.2
Dichloromethane 400 0.78 No 1.4 No 0.49 No --- --- 63 260
Ethylbenzene --- 0.82 NA 1.6 NA --- --- --- --- 1.1 4.9
Toluene 300 6.9 No 16.3 No --- --- 3.9 No 520 2200
Trichlorofluoromethane --- 0.71 NA 1.4 NA 0.61 NA 0.93 NA 73 310
*Benzene data affected by average of 0.73 µg/m3 in laboratory blank contamination. Results are therefore qualified; data is likely biased high. See text for
more details.
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Table ES-4. Results of Elemental Monitoring
Parameter--
elements
OEHHA
REL
(µg/m3)
Annex PGE OSD BLN
Avg.
Conc.
(µg/m3)
Exceeds
REL?
Avg.
Conc.
(µg/m3)
Exceeds
REL?
Avg.
Conc.
(µg/m3)
Exceeds
REL?
Avg.
Conc.
(µg/m3)
Exceeds
REL?
Arsenic 0.015 0.00020 No 0.00039 No 0.000001 No 0.00022 No
Cadmium 0.02 0.00042 No 0.00112 No -- -- 0.00065 No
Chlorine (sea salt) 0.2 0.85 Yes 1.5 Yes 0.43 Yes 0.82 Yes
Manganese 0.09 0.00523 No 0.00750 No 0.0016 No 0.00319 No
Mercury 0.03 0.00023 No 0.00018 No -- -- 0.00022 No
Nickel 0.014 0.00060 No 0.00073 No 0.0001 No 0.00060 No
Selenium 20 0.00084 No 0.0019 No 0.0007 No 0.00113 No
Notes:
1.Annex and PG&E Trail monitoring sites were located within Rancho San Antonio OSP.
Background OSD location was located at the District Administrative Office, Background BLN
was located in Los Altos Hills, typically upwind of Rancho San Antonio.
2. “California Air Quality Standard” refer to the statutory State of California ambient air quality
standards.7
3. “REL” is the reference exposure limit, produced by the California Office of Health Hazard
Assessments (OEHHA). The REL is defined as “an airborne level that
would pose no significant health risk to individuals indefinitely exposed to that level.”8
4. San Francisco Bay Area Average concentrations are derived from a BAAQMD report.9
7 http://www.arb.ca.gov/research/aaqs/caaqs/caaqs.htm
8 Office of Environmental Health Hazard Assessment 2007, Adoption of chronic reference exposure levels
(RELS) for airborne toxicants [12/28/01], Office of Environmental Health Hazard Assessment Sacramento,
accessed 31/1/2012, <http://www.oehha.ca.gov/air/chronic_rels/1201Crels.html>
9 Initial Study/Negative Declaration for the Amendments to Bay Area Air Quality Management District Regulation
9, Rule 10: Nitrogen Oxides and Carbon Monoxide from Boilers, Steam Generators and Pr ocess Heaters in
Petroleum Refineries, Environmental Audit, Inc.
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1.0 INTRODUCTION
Rancho San Antonio (RSA) is one of 26 public Open Space Preserves managed by the Mid-
Peninsula Regional Open Space District. It comprises 3,988 acres to the northwest side of the
City of Cupertino. Annual visits by the public are on the order of 500,000.
The RSA preserve is bounded to the west by the Santa Cruz Mountains, to the east by the City of
Cupertino, to the north by Los Altos Hills, and the northeast by Los Altos. Along the southern
boundary is the Lehigh Cement Plant and Quarry. Approximately one mile north is I-280, and
Route 85 is approximately two miles to the Northeast. Beyond these highways is the general
Silicon Valley urban area, consisting of a full range of residential and industrial entities, closest
to the communities of Cupertino, Sunnyvale, and Mountain View. As neighbors sharing the same
air basin with the Rancho San Antonio Preserve, these sites and regions are all potential sources
for pollution transport to the Preserve.
Air quality at Rancho San Antonio has been a concern for both workers and visitors for many
years due to its proximity to these potential sources of pollutants, particularly the Lehigh
Permanente cement plant and quarry, the only cement plant in the area, and one of the largest
industrial facilities in the South San Francisco Bay Area. In addition, both workers and residents
adjacent to the park have experienced events of odors, and particulate deposition (dust) at their
properties, such as on vehicles and other flat surfaces.
The Lehigh Cement facility has been the subject of recent permitting processes (BAAQMD Title
V, and Santa Clara County Reclamation Plan EIR), as well as new regulatory rules aimed at
reducing older cement plant emissions (USEPA, BAAQMD). These permitting and regulatory
processes produced numerous reports (Health Risk Assessments, EIR, Air Toxic Hot Spot
reporting), that identified substantial emissions, including toxic emissions, emanating from the
facility, and identified the surrounding area, including Rancho San Antonio, as potentially
impacted.
Due to these concerns, the Preserve administrator--the Mid-Peninsula Regional Open Space
District (MROSD)--contracted with Winegar Air Sciences to assess the air quality at RSA. In
consultation with MROSD staff and through review of other data sources and information, a
technical approach was developed that would capture a variety of common pollutants as well as a
subset of pollutants of particular concern. Many of these pollutants are of concern due to their
presence as risk drivers from a recent risk assessment conducted by Lehigh Cement, the closest
and likely highest potential nearby major pollution source.
The technical approach consisted of the collection of the concentration in air of 110 separate
substances or chemical species.10 These parameters consisted of a number of US EPA and
California EPA Criteria Pollutants, other major urban and regional pollutants, and several
chemical species associated with local and regional sources. Local meteorological data at each
of the monitoring sites was also collected. Surface wipes, surface deposition, and soil sample
10 Several bonus target parameters were included: PM2.5, sulfur dioxide, and full -scan VOCs. In addition, the
original length was extended by 3 months due to gaps in data during early data c ollection periods.
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analyses were also incorporated into the approach. The major monitoring focus was on the two
main sites—the Annex Building, and on the PG&E Trail at RSA, located near the Point of
Maximum Impact (PMI) identified in Lehigh’s 2013 Health Risk Assessment. Short-term series
of data collection were conducted at Deer Hollow Farm and at the on-site ranger residences.
Two off-site background sites were used for the collection of background and comparison data.
The rooftop at the MROSD administrative office in Los Altos was used as an ‘urban’ location
comparison, and a residential location in the Los Altos Hills was used as an upwind residential
area comparison site. These background monitoring sites were short-term (two months)
compared to the longer-term monitoring conducted at RSA (15-18 months).
The data collected was compiled and validated using standard quality assessment tools. Short-
term and long-term averages were used for comparisons to appropriate air quality or health-
related standards. The final long-term compiled data was reviewed by a health scientist for
assessment of the data in terms of appropriate health-driven concentration screening levels.
These assessments resulted in two main tables (Tables 21 and 22) that show the comparison to
these standards and screening levels. These comparisons and/or exceedances can be used for
decisions related to possible personal health outcomes by workers and visitors.
One other noteworthy source of comparative data that was very useful in putting this study into a
larger context was a special monitoring station operated by BAAQMD at Monta Vista Park.
Direct comparisons to that dataset are shown in later sections of the report.
The remainder of this report presents the details and results of this study.
2.0 TECHNICAL APPROACH—TARGET SUBSTANCES
2.1. Target List Rationale
The approach for air monitoring was based on the following motivations:
1. Proximity to General Local Sources—Highway emissions and dust, urban influences,
wood smoke, trail dust.
2. Potential exposure to local industrial emissions from Lehigh Cement Plant and quarry.
The main MROSD field office in the Preserve is identified as a “receptor” in the 2013
Risk Assessment completed for Lehigh Cement Plant.
3. Observations of Particulate Deposition on surfaces, of plumes following blasts,
observation of earth-moving activity, and visual observation of emission plumes from the
plant.
Of special interest was the potential from the closest and largest potential source of emissions—
the Lehigh cement plant and quarry. While the focus of the study was not to target this facility,
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MROSD Park Rancho San Antonio October 2014
it was obviously a large part of the concern due to the simple proximity and the type of source it
represents.
Information relating to the emissions from Lehigh was based on their recent environmental
impact report (EIR) and the recent health risk assessments (HRA) performed. Significant health
risk, major constituents, identified were: benzene, arsenic, hexavalent chromium (chromium-6),
and diesel particulate matter (DPM). Mercury is also present in the native limestone, and is a
constituent of concern. Although these reports informed a more refined development of target
substances, the majority of these pollutants would have been part of a normal air quality
assessment, and were evaluated through this monitoring effort, along with nearly one-hundred
other potential substances or chemical species.
2.2. Atmospheric Contaminants
Based on the above considerations, an approach for particulate and gas-phase sampling and
monitoring was designed for a wide range of aerosols and gases.
2.2.1. Aerosols
2.2.1.1. PM10
Aerosols (particles in the atmosphere, particulates, particulate matter) consist of solid masses of
different materials that are suspended in the atmosphere, and are transported various distances
from their point of origin, depending on their density and the characteristics of the dispersing
wind field. The effect of aerosols on human health is dependent on composition, size, and
number of the particles as well as exposure parameters such as time and type. Therefore, in order
to perform a complete assessment, a range of sizes and types of aerosols were collected in this
program.
PM10 is the shorthand description for suspended solid aerosols in the atmosphere of less than 10
micron (10-6 meters) aerodynamic diameter (not the same as physical diameter). PM10 is also a
common designation for ‘inhalable’ particulates—particles that can be drawn into the respiratory
system, though much of the larger sizes is captured in the nose and throat. This classification is
also called ‘coarse’ particles, to differentiate it from PM2.5, which is called ‘fine particulate.’
Smaller particulate fractions are referred to as very fine and ultra-fine.
PM10 originates from physical action—crushing, grinding, eroded soil, road dust. A majority of
PM10 is frequently due to fugitive soil created by many types of physical activities across a
diversity of sources.
2.2.1.2. PM2.5
PM2.5 refers to particulates less than 2.5 microns in diameter, also called ‘fine’ particles, in
contrast to the ‘coarse’ particles in PM10. Fine particles originate from chemical and
combustion sources such as power plant emissions, vehicle emissions, photochemical reactions
in the atmosphere, wood burning, agricultural burning, and some industrial processes. Fine
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particles are of greater concern from a health perspective than PM10 due to their ability to be
drawn deeper into the lungs, thus potentially transporting harmful materials into greater contact
with active biological surfaces. PM2.5 is currently of more focus than PM10 from a regulatory
perspective as it is a regional pollutant that indicates the possible impact of highly mechanized
and industrialized emission processes on the public at large. Besides the chemical process
emissions cited above, PM2.5 constitutes other important particulates such as black carbon that
originate in vehicular exhaust, especially diesel exhaust, discussed below.
2.2.1.3. Black Carbon
Black carbon consists of densely linked cyclic carbonaceous structures, with some other
chemical functional units on its surface, which facilitates chemical reaction, hence its toxicity.
As part of diesel exhaust, it is mixed with sulfate and other constituents of diesel particulate
matter (DPM). There is no natural source of black carbon, so any level detected originated from
some anthropogenic activity.
Black carbon is a common pollutant that is not as well-known as other pollutants such as the
criteria pollutants or toxics. However, as a major part of diesel exhaust (one half of diesel
particulate matter mass), its significance becomes obvious. Indeed, the MATES series of micro-
environment air quality testing that has been performed in the LA air basin has found that diesel
exhaust is the source for upwards of 70% of the carcinogenic risk from the ambient air.11
In addition, black carbon has been implicated in climate change effects the world over, as it is
generated by all manner of combustion.
In the urban environment, black carbon is a signature for vehicular activity, primarily diesel
vehicles as gasoline/spark-type engines produce significantly less than heavy duty diesel
vehicles. Therefore, the concentration of black carbon is a tracer for either localized diesel
sources or general incursion of urban air masses into the area. The local contribution can be
distinguished from more distant sources by the shape of the concentration peak that is detected.
When close-by, the peak is sharp and short duration, as generally, the source is moving and
would produce a small, puff-like plume. When urban air masses move into an area, the increase
in concentration would be broader and less distinct. For the Annex site, local impact is not
expected, except for short-term stops of vehicles near the site.
The black carbon monitoring provides information on three main sources: 1) urban air masses, 2)
near-by major sources such as I-280 and the Lehigh quarry, and 3) short-term localized sources.
DPM is a California toxic air contaminant, with its reference exposure concentration (RfC) at
5µg/m3 (5,000 ng/m3).12
11 http://www.aqmd.gov/docs/default-source/air-quality/air-toxic-studies/mates-
iv/matesivbrdmtg100314.pdf?sfvrsn=4
12 RfC= Reference Concentration. Cfr: US EPA Integrated Risk Information System (IRIS)--
http://www.epa.gov/iris/subst/0642.htm
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2.2.1.4. Hexavalent Chromium
Hexavalent chromium refers to the +6 valence state of a chromium atom in a chromate,
dichromate or trioxide ion. As a potent carcinogen in the inhalation pathway, it is a high risk
driver. At the RSA site, hexavalent chromium is of concern due to its presence in the Lehigh
Cement quarry material, so fugitive emissions would be an exposure pathway. Subsequent
processing of that material would constitute another pathway via stack emissions.
Samples were collected for hexavalent chromium aerosols using modified EPA method, which
incorporates a specially treated filter for the sampling media, sample collection for 24 hours, and
subsequent analysis by ion chromatography. The detection limit for this process is significantly
lower than the ambient air risk level, so data of high confidence levels can be obtained.
2.2.2. Gases
2.2.2.1. Sulfur Dioxide
As a criteria pollutant, along with PM10 and PM2.5, sulfur dioxide (SO2) is useful to establish
adherence to Federal and California air quality standards. In addition, however, for the Annex
site, it may useful beyond the usual mode of determining general regional concentrations because
of its value as a potential, specific tracer for emissions from the Lehigh facility.
As a common element in earth ores, Lehigh’s processing of sulfur results in a major emission of
sulfur dioxide. As the sole major source of sulfur dioxide in the area, it could be a tracer of
direct emissions from the Lehigh stacks. Lehigh emits sulfur dioxide at a maximum of nearly
500 lbs per hour.13 There are no other major point sources in the nearby area that also emits SO2,
so it could serve as a unique and easily monitored tracer gas.
2.2.2.2. Mercury
Elemental mercury can be emitted from industrial processing of earth ores due to commonly
found trace amounts present, normally present in soil at approximately 0.08 ppm. As a potent
neurotoxin, it is a key target in health risk assessment. For Lehigh, this product is a potential
stack emission constituent due to its processing of raw earth materials.
2.2.3. Volatile Organic Compounds
Volatile organic compounds (VOC) originate in a wide variety of processes, from vehicle
emissions, byproducts of both normal every day usage as well as industrial applications. In
addition, the Lehigh process emissions contain several toxic VOCs. VOCs are present in the
vapor phase, but are differentiated from the other inorganic gases such a mercury and sulfur
dioxide.
13 BAAQMD CEM Report, Lehigh Cement.
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2.3. Comprehensive Target List
From the review of potential emission and ambient air pollutants, a comprehensive list of
target substances was developed, as shown in Table 1.
Table 1. Target Substances and Methodology
Air Monitoring and Sampling at Rancho San Antonio
Observable Method
Sites
Annex PGE OSD BLN
Aerosols
PM10 Continuous-Beta Attenuation ● ● ● ●
PM2.5 Continuous-Beta Attenuation ●
Black carbon Continuous-aethalometer ● ● ● ●
Hexavalent chromium Integrated-treated filter ● ● ● ●
Elements
Al-aluminum Mylar strip-DRUM
Synchrotron X-ray Fluorescence
● ● ● ●
Sb-antimony ● ● ● ●
As-arsenic ● ● ● ●
Ba-barium Teflon filter-Partisol
Dispersive X-ray fluorescence
● ● ● ●
Br-bromine ● ● ● ●
Cd-cadmium ● ● ● ●
Ca-calcium ● ● ● ●
Cl-chlorine ● ● ● ●
Cr-chromium ● ● ● ●
Co-cobalt ● ● ● ●
Cu-copper ● ● ● ●
Ga-gallium ● ● ● ●
Ge-germanium ● ● ● ●
In-indium ● ● ● ●
Fe-iron ● ● ● ●
La -lanthanum ● ● ● ●
Pb-lead ● ● ● ●
Mg-magnesium ● ● ● ●
Mn-manganese ● ● ● ●
Hg-mercury ● ● ● ●
Mo-molybdenum ● ● ● ●
Ni-nickel ● ● ● ●
P-phosphorus ● ● ● ●
K-potassium ● ● ● ●
Rb-rubidium ● ● ● ●
Se-selenium ● ● ● ●
Si-silicon ● ● ● ●
Ag-silver ● ● ● ●
Na-sodium ● ● ● ●
Sr-strontium ● ● ● ●
S-sulfur ● ● ● ●
Sn-tin ● ● ● ●
Ti-titanium ● ● ● ●
V-vanadium ● ● ● ●
Y-yttrium ● ● ● ●
Zn-zinc ● ● ● ●
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Observable Method
Sites
Annex PGE OSD BLN
Zr-zirconium ● ● ● ●
Gases
Sulfur dioxide UV-fluorescence ● -- -- --
Mercury Sorbent/UV photometry ● ● ● ●
Volatile Organic Compounds
Dichlorodifluoromethane Canister/GC-MS ● ● ● ●
Chloromethane ● ● ● ●
Freon 114 ● ● ● ●
Vinyl chloride ● ● ● ●
1,3-Butadiene ● ● ● ●
Bromomethane ● ● ● ●
Chloroethane ● ● ● ●
Trichlorofluoromethane ● ● ● ●
Acetone ● ● ● ●
2-propanol ● ● ● ●
1,1-Dichloroethene ● ● ● ●
Acrylonitrile ● ● ● ●
Freon 113 ● ● ● ●
Dichloromethane ● ● ● ●
Carbon disulfide ● ● ● ●
trans-1,2-Dichloroethene ● ● ● ●
Methyl tert butyl ether ● ● ● ●
1,1-Dichloroethane ● ● ● ●
Vinyl acetate ● ● ● ●
2-Butanone ● ● ● ●
Hexane ● ● ● ●
Bromochloromethane ● ● ● ●
Tetrahydrofuran ● ● ● ●
cis-1,2-Dichloroethene ● ● ● ●
2,2-Dichloropropane ● ● ● ●
Chloroform ● ● ● ●
1,1,1-Trichloroethane ● ● ● ●
1,2-Dichloroethane ● ● ● ●
1,1-Dichloropropene ● ● ● ●
Cyclohexane ● ● ● ●
Benzene ● ● ● ●
Carbon tetrachloride ● ● ● ●
2,2,4-Trimethylpentane ● ● ● ●
n-Heptane ● ● ● ●
1,2-Dichloropropane ● ● ● ●
1,4 Dioxane ● ● ● ●
Trichloroethene ● ● ● ●
Bromodichloromethane ● ● ● ●
4-Methyl-2-pentanone ● ● ● ●
cis-1,3-Dichloropropene ● ● ● ●
Toluene ● ● ● ●
trans-1,3-Dichloropropene ● ● ● ●
1,1,2-Trichloroethane ● ● ● ●
2-Hexanone ● ● ● ●
1,3-Dichloropropane ● ● ● ●
Dibromochloromethane ● ● ● ●
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Observable Method
Sites
Annex PGE OSD BLN
1,2-Dibromoethane ● ● ● ●
Tetrachloroethene ● ● ● ●
Chlorobenzene ● ● ● ●
Ethylbenzene ● ● ● ●
m,p-Xylenes ● ● ● ●
Styrene ● ● ● ●
Bromoform ● ● ● ●
o-Xylene ● ● ● ●
1,1,2,2-Tetrachloroethane ● ● ● ●
1,2,3-Trichloropropane ● ● ● ●
n-Propylbenzene ● ● ● ●
Isopropylbenzene ● ● ● ●
4-Ethyltoluene ● ● ● ●
1,3,5-Trimethylbenzene ● ● ● ●
1,2,4-Trimethylbenzene ● ● ● ●
1,3-Dichlorobenzene ● ● ● ●
Benzyl chloride ● ● ● ●
1,4-Dichlorobenzene ● ● ● ●
1,2-Dichlorobenzene ● ● ● ●
Naphthalene ● ● ● ●
1,1-Difluoroethane ● ● ● ●
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3.0 TECHNICAL APPROACH--SITE SELECTION
3.1. Site Descriptions
Using the above objectives, and in consultation with MROSD staff, several locations were
selected for various aspects of the monitoring. Two main sites were selected: 1) The Annex
building across from the main OSD onsite offices and facilities, 2) PGE Trail for the main onsite
locations. In addition, two offsite locations were selected for background and upwind
monitoring. The Open Space District Offices on Distal Circle in Los Altos was selected as an
urban background location, and a residential location in Los Altos Hills was chosen as an
upwind/residential site. Figure 1 shows the test sites amidst the potential emission sources that
impact them. The Annex wind rose is represented as well. Figure 2 shows the equipment set up
at these sites.
3.1.1. Annex Site
The Annex site was selected as a representative location for site workers (field office located
approximately 200 yards across the valley), and for recreational visitors to the main Preserve
access trail, and as later testing showed, also representative of the local ranger residences slightly
higher up the hill on Mora Drive.
The Annex site was considered the main site, with a full complement of monitors and sensors:
PM10, PM2.5, black carbon, sulfur dioxide, meteorology, elements—both DRUM and Partisol,
VOCs, hexavalent chromium, and mercury. Monitoring at the Annex site went from December
31, 2012 to June 22, 2014.
3.1.2. PGE Site
Representative of visitors to this trail, and potentially indicative of emissions from the cement
plant and quarry operations, as this location is the closest to that site. The point of maximum
impact (PMI) from the Lehigh health risk assessment was slightly to the southeast of the PGE
site. The PGE site was located at the top of a section of the PGE trail, near the base of one of the
large power line towers. A clearing amidst a sea of poison oak was found, and the equipment
was placed there. At the PGE site, PM10, BC, elemental composition by DRUM sampler,
VOCs, hexavalent chromium, and mercury were all collected. Data collection at PGE site was
conducted from April, 2013 to May, 2014.
3.1.3. OSD Site
The OSD site was located on the roof of the MROSD administration offices on Distal Circle in
Los Altos. It was located in the middle of the urban area, adjacent to a major traffic
thoroughfare—El Camino Real. Therefore, this site is reflective of the main urban area.
At the OSD site, PM10, BC, elemental composition by DRUM sampler, VOCs, hexavalent
chromium, and mercury were all collected. Monitoring and sampling was conducted from
September 10, 2013 to November 7, 2013.
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3.1.4. BLN Site
The BLN site was located in a Los Altos Hills residential area, directly north of RSA. Black
carbon, PM10, elements, VOCs, hexavalent chromium, and mercury were sampled at this
location from March 7, 2014 to April 17, 2014.
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Figure 1. Source Categories/Test Locations at Rancho San Antonio
(Wind rose inset is from Annex)
Rancho San Antonio Environment and
Source Types/Test Locations Rancho San Antonio
Test Locations
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Figure 2. Photos of Monitoring instruments
From upper left, going clockwise: Annex trailer, Annex inlet array, PGE solar pane ls/EBAM, BLN site setup, and OSD site setup.
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4.0 TECHNICAL APPROACH—METHODOLOGY
4.1. Aerosols
4.1.1. PM10/PM2.5--Fixed
PM10 and PM2.5 were monitoring using beta attenuation monitors—BAM, or beta gauges. This
technique uses the attenuation (decrease) of energetic electrons emitted by a carbon-14 source,
that impact the collected aerosols on a filter tape. These particles had been collected on a glass
fiber tape for a portion of an hour, after which it is moved into the detection zone where it is
exposed to the attenuation is measured. This attenuation is proportional to the mass of
particulate collected, which is then divided by the amount of air that was sampled during the
sampling period. The result is expressed at micrograms per cubic meter—µg/m3.
The two size fractions are collected in separate instruments. For PM10, the standard EPA
louvered virtual impactor was used on the inlet, while the PM2.5 instrument used the standard
inlet plus a BGI Very Sharp Cut Cyclone to separate the fine particles. The PM10 inlet used the
Smart Inlet heater, while the PM2.5 used a continuous heat tape on the inlet.
The MetOne BAM 1020 is an EPA Federal Equivalent Method (FEM), meaning that if the
conditions of operation meet the definition, the data are equivalent to the federal reference
method, thus rendering the data more credible as a recognized value. For this program those
conditions were met, which included all the necessary accessories, plus a stable operating
environment. Calibration was checked using a factory-calibrated BGI Delta calibrator, which
uses differential pressure to assess temperature and pressure compensated flow rate. Flow was
maintained at the standard 16.7 liters per minute.
An on-board data logger captured the concentration plus operational data, which was
downloaded periodically.
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Figure 3. BAM and EBAM PM10 Monitoring Instruments
4.1.2. PM10--Portable
The EBAM (Environmental Beta Attenuation Monitor) is a portable version of the BAM 1020,
and was used at PGE and other sites on a short-term basis to collect real-time continuous PM10.
While not a FEM, it has been shown to be comparable to reference methods. The BAM and
EBAM were run concurrently for calibration/ comparison, prior to using the EBAM at other
sites. As a portable instrument, the EBAM uses 12 volt DC power, thus allowing for the
installation of solar panels as a source of continuous power. At the PGE site, several solar panels
and deep-charge batteries were installed in order to provide sufficient power for the EBAM as
well as other instruments at the site.
The EBAM provides two concentration values—a selectable ‘real-time’ (RT) value (the 15
minute setting was used) and a default 60 minute value. The RT value is a short-term estimate of
typically higher concentrations. In addition to the particulate concentration, meteorological data
was collected concurrently, thus allowing an examination of any correlation between
concentration trends and wind data.
Figure 3 shows photos of the beta gauge instruments.
4.1.3. Elemental Composition and Size
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Knowledge of both the composition and size of atmospheric aerosols is useful in understanding
their origin as well as assessing their potential health impact. The composition is typically
performed on an elemental basis. Two types of sampling were conducted in order to capture the
range of elements in the sampled aerosol: The DRUM sampler and the Partisol sampler.
4.1.3.1. DRUM Sampler
One type of sampler for size and composition was the UC Davis DELTA Group DRUM14
sampler, shown in Figure 4. The University of California, Davis designed and built rotating
drum impactors, with the UC Davis 815 DRUM the dominant design. This sampler uses
Lundgren impactors to collect aerosols onto sticky surfaces in 8 size modes16, selected
aerodynamically by a series of smaller and smaller slot orifices. The impaction surfaces are
slowly rotating drums covered with mylar strips, allowing collection of aerosols continuously
over extended periods, typically 5 weeks. This allows use of focused beam analytical techniques
to analyze for mass, optical behavior, and elemental composition with typical time resolution of
3 hr. Thus, the 8 DRUM collects typically 2,500 aerosol samples in a 5 week period, at the rate
of 48 samples/day (3 hr time resolution, 8 size cuts). These can be directly compared with
meteorological information source activities, etc. to identify sources in a way impossible for a 24
hr averaging Federal Reference Method (FRM) filter.
The DRUM strips were analyzed for mass by soft beta ray transmission, and elements by the
synchrotron-induced x-ray fluorescence (S-XRF) analytical at the Stanford Synchrotron
Radiation Lightsource (SSRL) and at the Lawrence Berkeley National Laboratory Advanced
Light Source (ARL).
S-XRF is a form of x-ray fluorescence using polarized x-ray beam microprobe white beam at 4
keV to 18 keV, with a spot size matched to the DRUM impactor impaction “footprint”.
Typically, it is able to obtain about 0.1 ng/m3 sensitivity in a 30 sec analysis run at a sampling
time bite of typically 3 hrs. for elements sodium through lead.
For the RSA sampling, two configurations were used: One configuration consisted of the eight
size fractions as described above, while the second configuration consisted of two size fractions
that were combined into a separate PM10 size result. One eight-channel and one 2-channel
sample were collected at Annex, two 2-channel samples were collected at PGE, and one 2-
channel was collected at OSD.
14 Davis Rotating Unit Monitor
15 Eight size cuts : 10, 5.0. 2.5, 0.75, 0.56, 0.34, 0.26, 0.09 µm diameter
16 Size of various aerosol componentS is one of several identifying characteristics.
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Figure 4. DRUM Sampler Size Cuts and Impactor
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4.1.3.2. Partisol Sampler
Other aerosol composition samples were collected using the Partisol sampler. The Partisol is an
EPA Federal Equivalence Method that provides 24-hr integrated data collection for subsequent
analysis by laboratory methods, primarily XRF for elements. The Partisol 2025 sampler
automatically collected PM10 size selected samples with a set of 16 47-mm Teflon filters
contained in a storage magazine, advancing them on a 24-hour basis to provide a 16 day
sampling period. These samples were then submitted to Chester LabNet of Portland, OR, for
analysis using EPA IO Compendium Method IO-3, X-ray Fluorescence Analysis of Particulates.
This analysis provides sub-nanogram per cubic meter concentrations for 38 elements. The
Partisol sampler was employed at the Annex, PGE and BLN sites. Figure 5 shows a photo of the
Partisol sampler at the Annex site.
Figure 5. Partisol Sampler at Annex Site/ Aethalometer at PGE Site
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4.1.4. Black Carbon
Black carbon was measured using the Magee Scientific AE-16 aethalometer (Figure 5), which
consists of the collection of aerosol on a quartz fiber tape followed by measurement of the
absorption of 880 nm light from a light emitting diode, a wavelength that has been shown to be
preferentially absorbed by black carbon .17 See Figure 5 that shows the instrument onsite at PGE
location. This method has been widely accepted as the most direct method for continuous, semi-
real time for the measurement of black carbon. Each measurement is completed in 5 minutes,
and longer term averages are simple arithmetic operations. Prior to the calculation of these
averages, the raw data was processed using the Optimized Noise-Reduction Algorithm (ONA),
which reduces inherent noise in the output through variable time averaging. The net effect is to
reduce large fluctuations in the signal due to noise introduced into the data stream from large
concentration fluctuations. Currently, this or similar noise-reduction schemes18 are standard
parts of aethalometer data reduction.
Starting in September, 2013, the PGE site utilized a AethLab Micro aethalometer while the AE-
16 units were used at other sites. This instrument is a hand-size portable unit that collects full-
size aethalometer-equivalent data for 1-2 week periods. This instrument was deployed from
September, 2013 to May, 2014.
17 Mageesci.com.
18 E.g., Aeth DataMasher.
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4.1.5. Hexavalent Chromium
Chromium (Cr) compounds consists of two valance states—positive 3 (III) and positive 6 (VI).
The hexavalent state in chromium compounds such as the salt sodium dichromate is recognized
as a human carcinogen via the inhalation pathway. At RSA, the concern for this material is due
to the presence of relatively elevated levels of hexavalent chromium in the geologic material at
the Lehigh quarry. Therefore, this target material was included in the test matrix .
Samples of hexavalent chromium were collected at all sites using ASTM D7614-12, which
consists of sampling at 10 liters per minute over 24 hrs. through a cellulose filter impregnated
with sodium bicarbonate. This filter method has been shown to minimize losses of the highly
reactive hexavalent material. Following sample collection, the samples are kept cold to enhance
stability and analyzed by the laboratory using ion chromatography with post-column
derivitization. The detection limit for this method was 0.004 ng/m3, substantially below the RSL
value of 100 ng/m3 thus allowing for the detection of concentrations levels far below health
impact concentrations.
4.2. Gases
4.2.1. Sulfur Dioxide
Sulfur dioxide concentrations were measured by Teledyne-API 101E configured in the sulfur
dioxide mode,19 calibrated with a five-point calibration line, and installed at the Annex
monitoring trailer. It operated continuously from on September 9, 2013 until May 25, 2014.
Data was collected on one-minute averages, with reports every five minutes. The internal data
system was attached to an external laptop data system to which the data was downloaded
approximately every week.
4.2.2. Mercury
Ambient air samples were collected using laboratory-prepared special charcoal sorbent tubes,
which were sampled at a rate of 1 to 2.5 liters per minute over a period of 24 hrs. In the
laboratory, the sorbent material was removed and extracted, and the resulting sorbent material
analyzed by UV absorbance to provide a mass detected. The concentration is then calculated by
taking this mass and dividing by the volume of air sampled, to yield ng/m3 as a 24-hr average.
The nominal detection limit for this method was less than 0.1 ng/m3.
19 Sulfur dioxide was a ‘bonus’ target, added after the start of the program.
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4.3. Volatile Organic Compounds
The toxics VOCs list is comprised of 67 volatile chemical species having boiling points under
100 degree C. All the major volatile air toxics species are present on this list. The volatile air
toxics chemical species were collected using Summa canisters and flow controllers to meter in
the sample over a 24-hr period. The collected samples were analyzed using cryofocus gas
chromatography/mass spectrometry. The detection limit for these species averages
approximately 0.2 ppbv. Table 1, above, shows the list of target VOCs.
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5.0 RESULTS AND DISCUSSION
The results are presented as follows: Data from each site will be presented for meteorology,
PM10, PM2.5, black carbon, sulfur dioxide, and elements. Because of the nature of the toxics
results, they will be combined in a separate section.
5.1. Meteorology
The general regional wind pattern in the Cupertino area is driven by the persistent high pressure
region in the northern pacific ocean, which causes a dominant wind to the Bay Area from the
northwest. Some of that wind is channeled along the coastal mountain ranges through the
opening to the San Francisco Bay. The other major influence is across the mountains from the
southwest to west south-west. The presence of the mountains affects the localized wind speed
and direction, so the region of representativeness of a given site is likely to be small because of
the varied topography.
Regional trends and differences due to location are illustrated in Figures 6 through 17 that show
the annual wind and other period wind roses for the Annex, PGE, Los Altos (RAWS), Cupertino
(BAAQMD), Moffett Field (NWS), and Lehigh (local station/HRA report). As is shown below,
the wind roses for the various locations indicate the effect of the complex topography and
microenvironment for each site.
Each of the monitoring sites was equipped with its own set of meteorological sensors. For the
most part, only wind speed and wind direction were examined, as they pertain primarily to the
transport of pollutants. Not all sites covered the entire test period, however, particularly the
outside locations. For these locations, regional public meteorological stations were used to
provide annualized trends in addition to the short-term data sets.
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5.1.1.1. Annex
At the Annex, the average wind direction was 245 degrees, with major components from the
northwest, northeast and southeast. Figure 1 showed the wind rose superimposed on a satellite
photo. Figure 6 shows a complete wind rose, with indications of high frequencies of low wind
speed, particularly from the southwest direction. This direction intersects a vector directly from
the Lehigh quarry area.
This major direction also indicates an origin of clean oceanic air; this effect is confirmed by the
presence of high levels of chlorine in the aerosol samples.
Figure 6. Annual Wind Rose for Annex
(Colors indicate frequency of direction.)
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There is only a minor effect directly from the south. The daily pattern is shown in Figure 7 that
breaks down the wind rose into two hour periods, indicating a daytime mostly northerly
direction, with evening hours mostly southwest. This suggests the influence of urban areas by
day and quarry emissions mixed with clean ocean air by night. This fits a basic mountain-valley
breeze pattern.
Figure 7. Annex wind roses by time of day.
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Figure 8 shows the monthly trends, indicating diverse influence during different times of the
year. There are long periods of lower wind speeds, particularly in the summer, thus damping the
directional effects. Much of this due to this test location deep in the sheltered valley. The
somewhat random pattern of directions during parts of the year is suggestive of the effects of the
sheltered valley location, with diverse influences due to the complex terrain.
Figure 8. Annex Wind Rose by Month
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Figure 9 shows the wind rose at the ranger residence at approximately 150 feet higher, showing a
much more distinct pattern. This graphic shows the daily pattern that drives the influence of the
different regional emission sources—the cycling between the southwest influence during the
nighttime hours, but switching to northerly directions during the day time hours. Most of the
diurnal patterns for target substances show some part of the same time dependent influence.
Figure 9. Wind rose by time of day at Residence
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5.1.1.2. PGE
PGE—Figure 10 shows a variable influence, which is due to its location atop a ridge
and directly adjacent to a large peak, both of which would channel the wind
movement. Because of this factor as well as the height of the sensor (2 m), this wind
data is representative for only this small environment.
The main influences are represented in the northwest lobe due to the effect of the
mountains. The second largest lobe is consistent with other nearby sites data showing
regional influence from the southwest. The southwest direction could potentially be
affected by emissions from the Lehigh quarry, which is located beyond a ridge less
than one-half mile from the monitoring site. The nighttime low wind speed conditions
are represented in a dominant way in the wind rose, which results in a
disproportionally high impact of fugitive dust during nighttime hours. Several
examples of this phenomenon are presented in other sections of this report.
Figure 10. Annual Wind Rose—PGE
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5.1.1.3. Lehigh
Lehigh—the Lehigh annual rose (Figure 11, from their HRA document) suggests two
dominant directional influences: 1) a channeling of wind down the Permanente Creek
canyon where it is located, with an absence of the dominant southwest feature seen in
other nearby data sets, likely shielded by ridge to south, and 2) a northerly component
that is likely due to channeling of the northwesterly wind that occurs frequently in
this area.
Figure 11. Annual Wind Rose--Lehigh
5.1.1.4. Cupertino/Monta Vista
BAAQMD’s monitoring station at Monta Vista Figure 12 shows the dual influence
from the north/north-north west and from the south, presumably due to its location at
the base of major mountainous features that direct wind flow. The effect of the
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canyon-driven drainage pattern will be shown in relation to sulfur dioxide data at the
Monta Vista site.
Figure 12. Annual Wind Rose—Cupertino (Monta Vista)
The time of day wind roses shown in Figure 13 show the diurnal pattern of daytime northerly
directions and southerly directions during nighttime hours. As noted in the other regional wind
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direction data, this pattern is repeated throughout the area. This general pattern explains the
measurement data showing nighttime impacts at PGE site with smaller effects at Annex.
Figure 13. Cupertino Wind Rose by Hour of the Day
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5.1.1.5. Los Altos Hills
The nearby RAWS site in Los Altos Hills—Figure 14 shows the general small-
regional tendency for wind directions out of the southwest, with a secondary direction
out of the northeast.
Figure 14. Annual Wind Rose for Los Altos Hills
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Figure 15. Wind Rose for Time of Day at Los Altos Hill RAWS station
The southwest direction follows the general regional trend, while the northeast direction misses
the other dominant regional trend of a northwest directional input. This appears to be due to
local topography, as other sites further away from the mountains (e.g., Moffett) gain the
influence of the northwest air movement.
Figure 15 shows the time of day wind rose for the Los Altos Hills RAWS station. It has the
same general northerly to southerly pattern as the other nearby stations. This factor explains the
observation that residences in that area experience the deposition of calcium carbonate, as occurs
on RSA and in nearby neighborhoods.
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5.1.1.1. Moffet Field
Figure 16 shows data from Moffett field. This meteorology is what would have
influenced the OSD location, away from the mountains. Located furthest from the
mountain influence, it shows the dominant Bay Area northwesterly wind pattern,
which is replicated up the west shore of the Bay, including SFO.
Figure 16. Annual Wind Rose for Moffett Field
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5.1.1.2. Terrain Effects
The terrain is an obvious influence on the air movement, driven by the wind patterns,
with both an uneven face along the north-south face of the mountains and the valleys
along that front. All those factors influence the complexity of transport.
Figure 17 illustrates a direct comparison between the Los Altos Hills RAWS station
and the Cupertino station, showing the effect of the local topography affects the wind
directionality, with approximately two miles between the meteorological tower sites.
Rancho San Antonio is located midway between these two locations and thus has
components of both patterns. The cross-sectional elevation profile is also shown as
another factor in the complexity of transport. With the quarry directly in line with the
RSA sites, this profile combines with the overall wind patterns to determine the effect
of emissions from that area as well as the rest of the plant production processes. The
data contained in the report will examine that and other questions relating to the
transport of emissions from the various sources via the wind field mechanism.
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Figure 17. Effect of Location and Elevation on Transport of Pollution
Yellow is Los Altos, Green is Cupertino (Monta Vista)
Cross section is along transect between PGE site and Annex.
Annex
PGE Quarry
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6.0 ANNEX RESULTS AND DISCUSSION
6.1. Annex PM10
6.1.1. BAM PM10 Results
Hourly PM10 measurements were collected at the Annex site from January 1, 2013 to June 22,
2014, with a capture rate of 91%, sufficient for a full characterization of exposure scenarios..20
Gaps in the data record were due to power losses at the monitoring site and tape breakages or
completion. There were more than 12,000 individual hourly data points collected, resulting in
539 daily averages. Figure 18 shows the validated hourly concentrations. Daily averages are
shown in Figure 19, monthly averages are shown in Figure 20, and quarterly averages are shown
in Figure 21.
Note that in the hourly plot for Figure 18, high concentration single hour values are shown as a
peak, though mostly only of one point. Visually, this tends to skew the significance of those
peaks. In all of the data, there were only 12 that exceeded 0.1 mg/m3, which in itself is not an
especially high concentration. There are no hourly standards for particulate matter; the shortest
is for 24 hrs.—0.050 mg/m3 for the California standard, and 0.150 mg/m3 for the Federal
standard.
The hourly values are of use in correlating with meteorological measurements, which typically
are performed with hourly averages. Comparisons with regulatory standards for particulate
matter are typically based on time period ranges from 24 hours to annual. In addition, other
health-related comparisons for ambient air are mostly focused on long-term averages over a
lifetime, defined as 70 years. Further discussion of the standards and health-risk concentrations
are provided in later sections.
The overall grand average was 0.016 mg/m3, with a 95% confidence interval of 0.0002 mg/m3.
This concentration is below the California Standard of 0.020 mg/m3, as averaged over the 18
month period (as compared to annually). None of the 24-hr values at the Annex exceeded the
California standard of 0.050 mg/m3 or the Federal standard of 0.150 mg/m3--the highest 24-hr
period was 0.047 mg/m3. Figure 19 contains the population distribution histogram, which shows
that the majority of the values were close to the mean and indicative of a stable physical
situation, with little impact from nearby variable sources. With a coefficient of variation of
0.0125 (1.25%), it shows that there were very few variations from the main tendency of the data
set. Cumulatively, approximately 75% of the measurements were less than 0.030 mg/m3.
A confirmatory set of gravimetric measurements using the Partisol sampler yielded an average of
0.0153 mg/m3, an agreement of 0.0007 mg/m3—a 3.3 percent difference.
Short-term events can sometimes be distinguished from distant impacts by the ‘shape’ of the
peak. A sharp peak indicates a plume that has not dispersed or broadened significantly. When a
plume is transported for a distance, it usually broadens and extends over a longer period of time.,
20 EPA standard is 75%.
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resulting in lower concentrations for longer periods. With hourly values to affect the long-term
average, a local event would need to be either very high concentration or be over an extended
period.
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Figure 18. Hourly PM10 Measurements
Red line is California Annual Standard (0.020 mg/m3)
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Figure 19. Representative short-term high PM10 concentration
One such instance that shows the impact of a short-term event is contained in Figure 19, which
shows a single high hourly value of 0.160 mg/m3. The periods before and after this hour show
normal concentration levels, so some local event occurred or a distinct plume was captured. The
noted concentrations are indeed high compared to most values, but when averaged together with
routine concentrations, such higher levels do not change the daily average significantly. The
majority of the short-term excursions from routine concentrations are difficult if not impossible
to assign to a specific source, and they do not affect the overall average substantially. There were
few of these instances, and they were relatively low concentrations on the order of just a few
times the average.
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6
/
2
0
1
3
9
:
0
0
6/
1
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/
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0
1
3
1
0
:
0
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1
6
/
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0
1
3
1
1
:
0
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1
6
/
2
0
1
3
1
2
:
0
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1
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/
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0
1
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1
3
:
0
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/
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1
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1
4
:
0
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1
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/
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0
1
3
1
5
:
0
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1
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/
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0
1
3
1
6
:
0
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/
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0
1
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1
7
:
0
0
6/
1
6
/
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0
1
3
1
8
:
0
0
6/
1
6
/
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0
1
3
1
9
:
0
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6/
1
6
/
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0
1
3
2
0
:
0
0
6/
1
6
/
2
0
1
3
2
1
:
0
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6/
1
6
/
2
0
1
3
2
2
:
0
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6/
1
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/
2
0
1
3
2
3
:
0
0
6/
1
7
/
2
0
1
3
0
:
0
0
6/
1
7
/
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0
1
3
1
:
0
0
6/
1
7
/
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0
1
3
2
:
0
0
6/
1
7
/
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0
1
3
3
:
0
0
6/
1
7
/
2
0
1
3
4
:
0
0
6/
1
7
/
2
0
1
3
5
:
0
0
6/
1
7
/
2
0
1
3
6
:
0
0
6/
1
7
/
2
0
1
3
7
:
0
0
6/
1
7
/
2
0
1
3
8
:
0
0
6/
1
7
/
2
0
1
3
9
:
0
0
6/
1
7
/
2
0
1
3
1
0
:
0
0
6/
1
7
/
2
0
1
3
1
1
:
0
0
6/
1
7
/
2
0
1
3
1
2
:
0
0
PM
1
0
m
g
/
m
3
Ambient Air Assessment at 39
MROSD Park Rancho San Antonio October 2014
Figure 20 shows an example of a combination of high and low concentrations along with wind
direction data. It shows that some of the short-term peaks occur during both when the wind
originates from the southwest direction (with possible impact from the plant and quarry sources)
as well as when the wind originates in the northerly sectors (with possible impact from the urban
and highway sources). In this case, the addition of these few relatively high concentration data
points increased the daily average by 0.008 mg/m3, which in the context of a few days, does not
affect the overall long term average or trend significantly. This example was uncommon, but was
discussed to illustrate the minor effect of the visually striking short-term peaks.
Figure 20. Detail of High and Low Values
0.000
0.020
0.040
0.060
0.080
0.100
0.120
0.140
0.00
45.00
90.00
135.00
180.00
225.00
270.00
315.00
360.00
10
/
2
3
/
2
0
1
3
0
:
0
0
10
/
2
8
/
2
0
1
3
0
:
0
0
11
/
2
/
2
0
1
3
0
:
0
0
11
/
7
/
2
0
1
3
0
:
0
0
11
/
1
2
/
2
0
1
3
0
:
0
0
11
/
1
7
/
2
0
1
3
0
:
0
0
PM
1
0
m
g
/
m
3
WD
-de
g
WD-deg PM10 mg/m3
Ambient Air Assessment at 40
MROSD Park Rancho San Antonio October 2014
Figure 21. Daily PM10 Averages
California Standards: 24-hr Avg. = 0.020 mg/m3, 24-hr Average = 0.050 mg/m3.
Taking an average of the 24 hourly concentrations yielded the overall average. Figure 21 shows the plot of 18 months of 24-hr data.
This information is used for comparison against the State and Federal 24-hr standards. The extended period is useful to show
variability between the same seasons one year apart.
0.000
0.005
0.010
0.015
0.020
0.025
0.030
0.035
0.040
0.045
0.050
mg
/
m
3
PM10 24-Hr Avg
Annual Standard
24-hr Standard
Ambient Air Assessment at 41
MROSD Park Rancho San Antonio October 2014
Figure 22 shows the distribution of the 24-hr values, indicating the narrow spread of the values,
but also showing the large percentage of averages that were less than half the annual standard.
Figure 22. 24-Hr Concentration Histogram
0
5
10
15
20
25
0.
0
0
0
0.
0
0
3
0.
0
0
5
0.
0
0
8
0.
0
1
0
0.
0
1
3
0.
0
1
5
0.
0
1
8
0.
0
2
0
0.
0
2
3
0.
0
2
5
0.
0
2
8
0.
0
3
0
0.
0
3
3
0.
0
3
5
0.
0
3
8
0.
0
4
0
0.
0
4
3
0.
0
4
5
0.
0
4
8
0.
0
5
0
0.
0
5
3
0.
0
5
5
0.
0
5
8
0.
0
6
0
0.
0
6
3
0.
0
6
5
0.
0
6
8
Pe
r
c
e
n
t
Concentrations (mg/m3)
Ambient Air Assessment at 42
MROSD Park Rancho San Antonio October 2014
Figure 23 contains the monthly averages. These data show some common general trends.
Summer time months are somewhat higher due to lack of precipitation leading to higher dust
levels. However, the winter months also can be higher due to winter time atmospheric
conditions that do not favor dispersion as well as an increase in certain pollutants such as wood
smoke.
Figure 23. Annex PM10 Monthly Averages
Annual California Ambient Air Quality Standard (AAQS) = 0.020 mg/m3.
6.1.2. Partisol PM10 Results
The average of the 24-hr filter samples for PM10 was 0.0153 mg/m3. Figure 24 shows the time
series of these data, which were collected in two periods, in February to March, 2014 and then in
May to June 2014. It is also useful to see no difference between years.
0.000
0.005
0.010
0.015
0.020
0.025
1/
1
/
2
0
1
3
0
:
0
0
2/
1
/
2
0
1
3
0
:
0
0
3/
1
/
2
0
1
3
0
:
0
0
4/
1
/
2
0
1
3
0
:
0
0
5/
1
/
2
0
1
3
0
:
0
0
6/
1
/
2
0
1
3
0
:
0
0
7/
1
/
2
0
1
3
0
:
0
0
8/
1
/
2
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1
3
0
:
0
0
9/
1
/
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1
3
0
:
0
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10
/
1
/
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1
3
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:
0
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11
/
1
/
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1
3
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:
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/
1
/
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1
3
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:
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1/
1
/
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1
4
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:
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2/
1
/
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1
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:
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:
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:
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5/
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/
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1
4
0
:
0
0
6/
1
/
2
0
1
4
0
:
0
0
mg
/
m
3
PM10 Monthly Avg
CA AAQS—0.020 mg/m3
Ambient Air Assessment at 43
MROSD Park Rancho San Antonio October 2014
Figure 24. Annex Integrated PM10 Mass
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
2/
2
1
/
2
0
1
4
2/
2
8
/
2
0
1
4
3/
7
/
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/
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1
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5/
3
0
/
2
0
1
4
An
n
e
x
2
4
-hr
PM
1
0
m
g
/
m
3
PM10-ug/m3--Avg 15.3
Ambient Air Assessment at 44
MROSD Park Rancho San Antonio October 2014
6.2. Annex PM2.5
Figure 25 shows the hourly PM2.5 values that were collected from January 1, 2013 to May 19,
2014. The overall grand average for PM2.5 was 0.014 mg/m3, 95% confidence limit of 0.00016
mg/m3. This concentration was slightly above the California Ambient Air Quality standard and
the Federal primary standard, both 0.012 mg/m3. The California standard requires averaging of
24-hr values on an annual basis, while the federal standard uses a 3-year average and a 98th
percentile of that period, not to exceed 35 µg/m3. Therefore, while the California standard is
exceeded in this case, it would not likely exceed the federal standard on a 3-year basis.
Ambient Air Assessment at 45
MROSD Park Rancho San Antonio October 2014
Figure 25. Hourly PM2.5 Results
0.000
0.020
0.040
0.060
0.080
0.100
0.120
12
/
3
1
/
2
0
1
2
0
:
0
0
1/
7
/
2
0
1
3
0
:
0
0
1/
1
4
/
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0
1
3
0
:
0
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1/
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1
/
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0
1
3
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:
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1/
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8
/
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0
1
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:
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2/
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/
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:
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1
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:
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/
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:
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/
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:
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:
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:
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:
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:
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:
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:
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:
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4/
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/
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5/
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:
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1
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:
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1
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:
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:
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:
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1
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:
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1
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/
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/
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:
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/
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:
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/
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:
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:
0
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:
0
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/
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:
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/
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:
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:
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/
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:
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/
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:
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1
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/
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1
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:
0
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3/
1
7
/
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1
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:
0
0
3/
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4
/
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0
1
4
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:
0
0
3/
3
1
/
2
0
1
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0
:
0
0
4/
7
/
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0
1
4
0
:
0
0
4/
1
4
/
2
0
1
4
0
:
0
0
4/
2
1
/
2
0
1
4
0
:
0
0
4/
2
8
/
2
0
1
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0
:
0
0
5/
5
/
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0
1
4
0
:
0
0
5/
1
2
/
2
0
1
4
0
:
0
0
5/
1
9
/
2
0
1
4
0
:
0
0
5/
2
6
/
2
0
1
4
0
:
0
0
mg
/
m
3
PM2.5 (mg/m3)--1 Hr Averages
CA AAQS
Ambient Air Assessment at 46
MROSD Park Rancho San Antonio October 2014
Figure 26. 24-hr. PM2.5 Averages
Green line is Annual standard of 0.012 mg/m3.
Daily PM2.5 averages are shown in Figure 26, and monthly averages in Figure 27. There is a slight suggestion of a periodic trend, but
this is not represented in the monthly data, shown in Figure 26. There are slight differences between months, but they are on the order
of the 95% confidence limit, which is approximately 0.002 mg/m3. The higher level in July and August could be due to regional
pollution events, such as Spare the Air days that occur during periods of air stagnation and high temperatures. On the other end of the
spectrum are the higher wintertime concentrations that are due to wood smoke and the generally less efficient dispersion that occurs in
winter due to atmospheric conditions. The relatively low variability of these averages suggests a muted responsiveness to la rger
ambient air trends due the Annex’s sheltered location as well as its wind direction pattern. Those trends will be examined more fully
together with black carbon in another section.
0.000
0.005
0.010
0.015
0.020
0.025
0.030
0.035
0.040
0.045
1/
1
/
1
3
1/
1
5
/
1
3
1/
2
9
/
1
3
2/
1
2
/
1
3
2/
2
6
/
1
3
3/
1
2
/
1
3
3/
2
6
/
1
3
4/
9
/
1
3
4/
2
3
/
1
3
5/
7
/
1
3
5/
2
1
/
1
3
6/
4
/
1
3
6/
1
8
/
1
3
7/
2
/
1
3
7/
1
6
/
1
3
7/
3
0
/
1
3
8/
1
3
/
1
3
8/
2
7
/
1
3
9/
1
0
/
1
3
9/
2
4
/
1
3
10
/
8
/
1
3
10
/
2
2
/
1
3
11
/
5
/
1
3
11
/
1
9
/
1
3
12
/
3
/
1
3
12
/
1
7
/
1
3
12
/
3
1
/
1
3
1/
1
4
/
1
4
1/
2
8
/
1
4
2/
1
1
/
1
4
2/
2
5
/
1
4
3/
1
1
/
1
4
3/
2
5
/
1
4
4/
8
/
1
4
4/
2
2
/
1
4
5/
6
/
1
4
mg
/
m
3
PM2.5 Avg-24 hr
Ambient Air Assessment at 47
MROSD Park Rancho San Antonio October 2014
Figure 27. Annex PM2.5 Monthly Averages
6.2.1. Alternative Approach to PM2.5
The PM2.5 exceedance prompted a secondary review of the data and the process for both
measurement and data analysis. In previous years before PM2.5 measurement was
commonplace, one method for an indirect determination of PM2.5 concentrations was to use a
previously determined ratio of PM2.5 to PM10 for a general type of aerosol (e.g., rural vs. urban)
and then apply that to subsequent PM10 measurements.
This approach is also useful as a cross-check on current PM2.5 measurements. Using the typical
PM2.5/PM10 ratio from other areas around the Bay Area, the predicted PM2.5 concentration
would be on the order of 7.6 µg/m3, as the ratio is approximately 0.54 that would be applied to
the Annex PM10 level of 16 µg/m3. The ratio of 0.54 is consistent with many other locations.
This indirect value is substantially different from the measured value of 0.014 mg/m3 but is
consistent with other measurements from around the Bay Area. However, comparing the typical
ratio with was measured suggests a much higher fraction of fine particulate than is justified from
other observations. For example, the black carbon values are not substantially higher than
expected. The possible impact due to the emissions from the cement plant is a possibility,
however, there is no other indication of a substantial impact from the plant stacks (the coarse
PM10 fugitives from the quarry would not be a factor for this PM2.5 measurement). For
example, one possible indicator of impacts from the plant stacks is sulfur dioxide, the data from
which showed no impact.
Table 2 shows a comparison of several locations where both parameters were measured.
0.000
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Co
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3
Quarter
PM2.5
Avg-Month
CA Standard
Avg
Ambient Air Assessment at 48
MROSD Park Rancho San Antonio October 2014
Table 2. PM2.5/PM10 Ratios
Location PM10-
ug/m3
PM2.5-
ug/m3
Ratio
(PM2.5/PM10)
San Rafael 13.2 8.0 0.61
San Francisco 17.4 8.2 0.47
Concord 12.6 6.5 0.52
Los Gatos 18.8 9.1 0.48
Cupertino 13.5 8.6 0.64
Average 15.1 8.1 0.54
Annex-measured 16.0 14.0 0.88
Annex-recalculated 16.0 7.60
Therefore, Table ES-1 shows the measured value with the estimated value in parentheses
[0.014(7.6)] as an estimate using on this procedure. Based on the review shown here, it appears
justified to show the PM2.5 as a range as opposed to a single measured value.
Ambient Air Assessment at 49
MROSD Park Rancho San Antonio October 2014
6.3. Annex—Black Carbon
The overall average of the 5 minute readings for BC at the Annex was 235 ng/m3. This is a
favorable level compared to the statewide California average of 1,100 ng/m 3. 21 A standard
conversion from Black Carbon to diesel exhaust is to multiply by a factor of 2.0, so this results in
a DPM equivalent of 470 ng/m3. As with the BC level, this is favorable in comparison to the
reference concentration (RfC) of 5,000 ng/m3. This concentration level is consistent with the
low concentration of PM2.5—a similar fine particle pollutant. As an indicator of both near-by
and regional sources, this average concentrations suggests a minor effect from these sources.
Figure 28 contains the full data record—a capture rate of 92.7%. The large spikes were cut
down in the display in order to more fully show the more common lower level concentrations.
The spikes were all single 5-minute values of several thousand ng/m3, likely due to local on-site
sources. These high values contribute only a few percent at most to the overall average for each
day, so the visual impact is greater than the actual impact.
Figure 29 shows the 24-hr average. In this plot, the trends over various parts of the year can be
seen. For example, the winter months show slightly higher concentrations, due to the addition of
wood smoke to the black carbon from other sources. In addition, there is a regular wintertime
change in atmospheric dispersion characteristics which reduces mixing, thereby increasing the
ground-level concentration.
21 CARB research, http://www.arb.ca.gov/research/rsc/3-8-13/item8dfr08-323.pdf. Black Carbon and the Regional
Climate of California, V. Ramanathan
Ambient Air Assessment at 50
MROSD Park Rancho San Antonio October 2014
Figure 28. Black Carbon—5 minute concentrations
0
500
1000
1500
2000
2500
3000
3500
4000
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Ambient Air Assessment at 51
MROSD Park Rancho San Antonio October 2014
Figure 29. 24-hr Average Black Carbon.
Health-based standard is 5,000 ng/m3
0.000
200.000
400.000
600.000
800.000
1000.000
1200.000
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Ambient Air Assessment at 52
MROSD Park Rancho San Antonio October 2014
Figure 30 combines the monthly black carbon with the monthly PM2.5, showing a good
agreement. This is not unexpected, as black carbon, as a fine particulate is part of PM2.5. This
plot shows the same trends a PM2.5 in regards to periods of the year. The summertime, with its
air quality challenges, shows higher levels of both constituents. The wintertime months
experience the same atmospheric conditions that inhibit dispersion to the same level as the warm
months. It is interesting to note that in the winter months, the black carbon increases its fraction
of the PM2.5 concentration; this is indicative of wood smoke.
Figure 30. Monthly PM2.5 and Black Carbon Averages
Note the two different scales on double-Y axes; the BC does not exceed the PM2.5
6.4. Annex--Sulfur Dioxide
Sulfur dioxide (SO2) was added to the list of monitored parameters at the Annex site on
September 20, 2013, continuing until May 24, 2014.22 The average for SO2 was 0.76 ppbv. A
plot of the 5 minute values is shown in Figure 31. These data show consistently low
concentrations on the order of less than 1 ppbv, spiked with short-term higher concentrations.
The highest concentration was 41 ppbv, but it was for a single period and dropped to normal
levels quickly, suggesting a local source.
22 Sulfur dioxide was a ‘bonus’ parameter, as it was not included in the original scope and cost.
0.000
0.005
0.010
0.015
0.020
0
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100
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Ja
n
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b
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b
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.
5
m
g
/
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Bl
a
c
k
c
a
r
b
o
n
n
g
/
m
3
Month
PM2.5/Black Carbon
BC PM2.5
Ambient Air Assessment at 53
MROSD Park Rancho San Antonio October 2014
Figure 31. Sulfur Dioxide Concentrations.
Note 75 ppbv 1 hr. Federal standard; 40 ppbv 24-hr California standard
0
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pp
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Ambient Air Assessment at 54
MROSD Park Rancho San Antonio October 2014
Many of these high spikes originated when the wind shifted from the usual origin from the
northwest towards the north, which is more directly in line with urban sources. Figure 32 shows
how the concentration varied over a 24-hr period in which the wind shifted from the usual
westerly to northwesterly direction that carries clean oceanic air into the area to northerly
directions that transports plumes from the local urban areas. This is also illustrated in the diurnal
pattern in Figure 33 suggesting that the shift in wind direction towards the north during the day
accentuates the contribution from urban sources, while in the evening, the combination of lower
wind speed and a southwesterly direction, oriented towards the influx of clean oceanic air, results
in a lower concentration. The sheltered location at the Annex provides some mitigation of the
urban air masses that the Monta Vista site detects.
It is noteworthy that during the night time hours, both sites match, suggesting that the south-
westerly wind trends are not affected by the Lehigh SO2 emissions.
In terms of possible exposure to sulfur dioxide at RSA, the concentrations average 0.76 ppbv,
substantially less than any of the short- and long-term air quality standards, which range from 40
ppbv for 24-hr to 250 ppbv for 1 hour.
Ambient Air Assessment at 55
MROSD Park Rancho San Antonio October 2014
Figure 32. Short-term Concentration and Wind Direction Dependence
0
5
10
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SO
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--
pp
b
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Wi
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D
i
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e
c
t
i
o
n
--
de
g
r
e
e
s
Wind Direction SO2 (ppbv)
Ambient Air Assessment at 56
MROSD Park Rancho San Antonio October 2014
Figure 33. Diurnal Pattern Sulfur Dioxide—Annex and Monta Vista/BAAQMD
(Note: 3 AM spike is due to instrument calibration checks.)
0.000
0.200
0.400
0.600
0.800
1.000
1.200
1.400
0:
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SO
2
p
p
b
v
Annex and Monta Vista/BAAQMD SO2
Dist
ANN
Ambient Air Assessment at 57
MROSD Park Rancho San Antonio October 2014
6.5. Annex—Elements
Two types of data analysis were performed on the DRUM data sets. The first is a basic
averaging of detected value for use in comparison with the health risk levels. The second is a
more in-depth examination of the different size cuts in the sampler. Much of this information
may be somewhat academic, however, there are multiple instances of conclusions regarding the
impact of the clean oceanic air as well as the signature of the Lehigh operation in terms of excess
Calcium.
6.5.1. Annex-8DRUM
The UC Davis DELTA Group 8 DRUM sampler ran from Dec. 31, 2012 to February 23, 2013.
There were three major power outages – Jan 6 – 7, Jan 22 – 24, Jan 25 to Feb 12, and Feb 21 –
22, 2013 (depicted in the following graphics as periods of low/no readings). The DRUM sampler
collected particles in 8 size modes between 10 and 0.09 µm aerodynamic diameter. Samples
were analyzed in three hour increments for mass at UC Davis and 40 elements at the Advanced
Light Source, Lawrence Berkeley National laboratory.
The results show:
The dominant air mass present at the Annex site was of marine origins, as shown
The coarse sulfur-chlorine ratio, identical to sea spray,
The very low fine sulfur values, a robust urban-industrial signature,
The lack of industrially derived elements from nickel to lead, and
The wind rose data showing a dominant northwest origin.
2.
Into this air mass was added soil derived and calcium rich aerosols that were largely
derived from the Permanente mining activities, as shown by
The excess calcium spikes on top of the coarse soils,
The high amounts of soil derived-elements, despite the suppression of other soil types by
recent rainfall.
Mining activities are constantly exposing and re-suspending soils that are not impacted
by rainfall.
The correlation with the strong afternoon wind peaks,
The coarse size of the aerosols, indicating a local source, and
Lack of any credible upwind site in the heavily vegetated coastal forest.
(Forested areas absorb the coarsest particles, modifying the sizes).
Results and Interpretation
Average values of major aerosols are shown below in Table 3 for the entire 5 week sampling
period. A comparison is made with average values at the Annex Site to an urban site in Redwood
City near the San Francisco Bay, sampled in 2011, to put these values into context. The
Redwood City data was available as an alternative background urban site for comparison with
the RSA locations.
Ambient Air Assessment at 58
MROSD Park Rancho San Antonio October 2014
The rural nature of the Annex is shown most graphically by the very low values of sulfur at the
Annex site. However, almost all of the industrial metals are far lower at the Annex Site than the
Redwood City site, as shown by the ratios of much less than 1.0 in Table 3.
The exception is coarse soil derived elements. Despite the fact that the Annex Site sampling was
done after rainfall in winter that should suppress local soils, the Annex Site soils are greater than
those in Redwood City. This is consistent with mining activity that will constantly expose
subsurface spoils not affected by rainfall.
Table 3. Comparison of Site Ratios
Average values of selected major and minor species, and ratio,
Annex site versus Redwood City site.
PM10 PM10 PM2.5 PM2.5
Soil Annex site Redwood
City
Annex/
Red. City Annex site Redwood
City
Annex/
Red. City
ng/m3 ng/m3 Ratio ng/m3 ng/m3 Ratio
Aluminum 247 141 1.76 60 30 2.01
Silicon 503 435 1.16 75 93 0.80
Calcium 301 247 1.22 29 69 0.42
Iron 220 193 1.14 46 58 0.79
Sulfur 167 569 0.29 117 452 0.26
Industrial
Nickel 0.39 0.75 0.52 0.17 0.82 0.21
Copper 4.29 4.83 0.89 2.08 3.50 0.59
Zinc 7.61 10.09 0.75 4.23 4.99 0.85
Gallium 0.05 0.25 0.19 0.04 0.19 0.22
Arsenic 0.01 0.07 0.08 0.00 0.01 0.22
Selenium 0.52 1.14 0.46 0.51 1.03 0.49
Lead 6.48 20.72 0.31 4.92 14.11 0.35
Time derived information was obtained by the DRUM sampler that collected continuously in 8
size modes during the study. The UC Davis DELTA Group 8 DRUM sampler ran from Dec. 31,
2012 to February 23, 2013. There were three major power outages – Jan 6 – 7, Jan 22 – 24, Jan
25 to Feb 12, and Feb 21 – 22, 2013. In the first two cases, the battery back up kept the drum
turning so timing was not lost. On Jan 25, the drum kept running for several days until the
battery was exhausted
The samples were analyzed for mass and roughly 40 elements. First, all the soil derived elements
(with one exception) behaved as shown below for silicon and iron. The soil was keyed to wind
velocity, with a strong diurnal pattern. However, to have soil like this, there must be exposed soil
without any vegetation. There is no information on other bare soil outside of the mine although
satellite photos of the area suggest is it mostly forested.
Ambient Air Assessment at 59
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Figure 34. Silicon from soil versus time.
The coarse soil dominance in Figure 34 suggests a fugitive emission as opposed to a processing
emission, which would result in higher of fine and ultra fine fractions.
Figure 35. Iron from soil versus time.
Figure 35: Iron is the same as Silicon—processed emissions would be found in the fine fractions.
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Annex Site
Silicon (for soil, ~ x 4)
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Annex Site
Iron
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The situation is very different for calcium, as shown below. The pattern of all the other soils is
not reproduced, indicating another source of calcium different than the resuspended soil. The
larger particle sizes represent mechanical disturbance, attributed to quarry related activities, in
contrast to processing emissions.
Figure 36. Calcium from soil and another calcium-rich source versus time.
For Figures 34-36, the peaks coincide with the afternoon winds.
To illustrate the difference, the silicon values have been divided by 3, which is the ratio used in
the US IMPROVE network (Malm et al, 1994).
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Annex Site
Calcium
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Figure 37. Calcium versus scaled silicon: Non-soil calcium, 35 to 10 µm.
If the calcium is all from soil, the two traces should lie directly on top of each other in Figure 37.
In the three graphs below (Figures 38-40), this is done for particles 10 to 5.0. 5.0 to 2.5. 2.5 to
1.15, and 1.15 to 0.75 m aerodynamic diameter.
Figure 38. Calcium versus Coarse-scaled silicon
Shows the non-soil calcium source, 10 to 2.5 µm
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Annex Site
Silicon (for soil, ~ x 4)
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Silicon (for soil, ~ x 4)
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Figure 39. Calcium versus Fine-scaled silicon
Shows the non-soil calcium source. 2.5 to 1.15 µm.
Figure 40. Calcium versus Very-fine scaled silicon,
Shows the non-soil calcium source, 1.15 to 0.75 µm.
In all cases, there is excess calcium, even to particle sizes much smaller than usual for
unprocessed soil disturbance. These fine particles can get into the bronchial tract and upper lung,
unlike the coarsest stages that are normally handled by nose and throat. They are also much more
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Silicon (for soil, ~ x 4)
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Silicon (for soil, ~ x 4)
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effective in forming hazes. This is a signature of processing, not mechanical emissions, and is
attributed to the cement plant processing operations.
Annex Aerosol Size
The following plots (Figures 41-46) illustrate the size distribution and how it relates to elemental
enhancement.
Figure 41. Size distribution of soil derived elements
Calcium enhanced by factor of 2.
Although silicon, aluminum and iron are added to the cement manufacturing process, the smaller
size fractions are not enhanced relative to the coarse fractions. The aluminum, for example, is
enhanced relative to potassium in the coarse mode, perhaps legacy material.
0
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100
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250
300
350
0.09 to
0.26
0.26 to
0.34
0.34 to
0.56
0.56 to
0.75
0.75 to
1.15
1.15 to
2.5
2.5 to 5.0 5.0 to 10
Na
n
o
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r
a
m
s
/
m
3
Particle diameter in micrometers
Aerosols at the Annex Site
Average concentrations, Dec 31 -Feb 24, 2013
Silicon Aluminum Potassium Calcium Iron
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Figure 42. Coarse chlorine, typically oceanic in origin.
High levels of coarse chlorine indicates a marine dominated air mass.
Figure 43. The coarse sulfur is confirmation of an oceanic source.
Very low levels of sulfur (double-digit ng/m3) and very fine potassium – wood smoke. This is
not an urban air mass.
0.09 to 0.26
0.26 to 0.34
0.34 to 0.56
0.56 to 0.75
0.75 to 1.15
1.15 to 2.5
2.5 to 5.0
5.0 to 10
Particloe diameter in micrometers
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/
m
3
Chlorine
Aersols at the Annex Site
Average concentrations, Dec 31 - Feb 24, 2013
0.09 to 0.26
0.26 to 0.34
0.34 to 0.56
0.56 to 0.75
0.75 to 1.15
1.15 to 2.5
2.5 to 5.0
5.0 to 10
Particloe diameter in micrometers
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25
30
35
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/
m
3
Sulfur Potassium
Aersols at the Annex Site
Average concentrations, Dec 31 - Feb 24, 2013
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The following plots show the average concentrations by size. When the trend in concentrations
shows a change between different size fractions, it suggests a change in source profile. In
particular, relatively large changes are made in the coarse size range for Calcium—known to be a
fugitive dust problem--suggesting physical actions. Chlorine makes a big change, shown in
Figure 44. The aluminum is a bit enhanced in the coarse mode, possibly indicating the detection
of legacy aluminum residence from previous aluminum manufacturing operations.
Figure 44. Average Concentrations of Crustal Elements by Size
Chlorine and Calcium show enhancements in fine and coarse modes.
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0.09 to
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0.26 to
0.34
0.34 to
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0.56 to
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Particle diameter in micrometers
Aerosols at the Annex Site
Average concentrations, Dec 31 -Feb 24, 2013
Chlorine Aluminum Potassium Calcium Iron
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Figure 45. Average Concentrations of Crustal Elements Plus Sulfur by Size
The enhanced fine sulfur fraction in Figure 45 suggests a process source, either the plant or
general ambient air, as fine sulfur is a common emission product.. Calcium as shows an
enrichment in the fine to coarse ranges, particularly in the coarse mode, by a factor of two. Any
coarse involvement of a crustal element is suggestive of fugitive dust, in this case quarry dust.
0
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250
0.09 to
0.26
0.26 to
0.34
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1.15 to 2.5 2.5 to 5.0 5.0 to 10
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Particle diameter in micrometers
Aerosols at the Annex Site
Average concentrations, Dec 31 -Feb 24, 2013
Sulfur Aluminum Potassium Calcium Iron
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Figure 46. Average Concentrations Industrial Aerosols
Figure 46 shows there is no dominance of the industrial elements (e.g., non-crustal), compared to
calcium, which shows an enhancement, as has been seen in other data plots.
Table 4 shows the average concentrations from the DRUM sampler, with a breakdown by size,
both individual channels and the sum into PM10 and PM2.5 fractions. Note, however, that two
latter fractions are just the total of the individual elements by size fraction, they are not
comparable to the PM10 and PM2.5 total mass concentrations.
The column to the far right shows a rough picture of the size distribution. The main aspect from
that view is to see if the distribution is dominated by one or more main size modes. A
dominance by the coarse mode (5-10 um) suggests fugitive dust (e.g., quarry operations) while a
smaller fraction suggests the process. A bi-modal element, such as sulfur, suggests both process
and fugitive, fine comes from chemical or industrial processes, while the coarse material is likely
due to oceanic contributions, as sulfur is not a dominant crustal element.
In the crustal elements (Si, Fe, Al, Ca), the coarse mode dominates, hence a likely soil origin
related to quarry operations.
0
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150
200
250
0.09 to
0.26
0.26 to
0.34
0.34 to
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0.56 to
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1.15
1.15 to
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Particle diameter in micrometers
Aerosols at the Annex Site
Average concentrations, Dec 31 -Feb 24,
2013
Vanadium Chromium Copper Calcium Iron
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Table 4. Annex DRUM Concentrations by Size
Size in micrometers (um).
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It is understood that the Lehigh plant site has a history of various metal manufacturing, which may
lead to legacy materials in the fugitive dust, besides what is due from the current operations. One
way to distinguish this older material from current material is in the size and element ratios. The
expected size distribution of this ‘legacy’ material is uncertain, as various physical and chemical
processes could have altered its state. The magnesium size distribution was of interest—the smaller
size components were all relatively equal, and the coarse mode was substantially higher in
concentration, so perhaps a mixture of both aged material and recent coarse mode from quarry
operations. The ratio between Magnesium and Silicon is 0.12 (earth crust is 0.08) which is
indicative of an enhancement. As noted above, the Aluminum/Silicon ratio is slightly enhanced
(0.49 vs. 0.30) as well, though the coarse mode dominates, both factors that make it less certain
about the origin of all modes of those elements
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.Figure 47 is an alternative plot of the DRUM data. The coarse fraction (5.0-10) has major dominance over other size fractions,
indicating soil-related fugitive dust enhanced with calcium, thus a signature for quarry fugitive emissions. As noted above, this shows
that Magnesium has an unusual size distribution, as well as the fine and coarse mode Sulfur, indicative of process emissions and sea
salt aerosols respectively. Silicon dominates, as expected, since the major source for all the aerosols is soil.
Figure 47. Plot of Annex Aerosol Elements Concentrations by Size
Legend shows the size fractions. Circled areas refer to the elemental distribution .
0.00
50.00
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350.00
Mg Al Si P S Cl K Ca Ti V Cr Mn Fe Co Ni Cu Zn Ga As Se Br Rb Sr Y Zr Mo Pb
ng
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0.34 to 0.56
0.56 to 0.75
0.75 to 1.15
1.15 to 2.5
2.5 to 5.0
5.0 to 10
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6.5.2. Annex- 2DRUM
A two channel DRUM sampler was placed amidst the other sampling gear on the roof of the
Annex, where it ran from September 26, 2013 to November 4, 2013. The two frames were
analyzed by the Lawrence Livermore Lab Advanced Light Source, and subsequently processed
to yield the concentration values summarized in Table 5, and which have been incorporated into
the risk comparison table for evaluation. A number of plots that follow show detail from the data
set.
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Figure 48. Annex—Fall Test Period/Coarse Fraction
Figure 48 shows the typical pattern that corresponds to the daily meteorological cycle. The
peaks and valleys of the silicon trace shows the continuous emission of fugitive dust in the
coarse mode. The silicon is continuous throughout most of the period, suggesting a continuous
operation. Chlorine from sea salt appears at sporadic points in the first half of the sampling
period, but the last two weeks is a daily occurrence. The sea salt chlorine is more dependent on
regional meteorology, while the silicon is related to local activities.
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Figure 49. Annex—Fall. Coarse and Fine Sulfur
Figure 49 shows an unusual combination of coarse and fine sulfur that track at low levels during
the first part of the test period, then diverge suddenly. Fine sulfur is associated with process
conditions, and coarse sulfur from oceanic emissions, so the similar pattern during early October
may just be a coincidence, as the two track for the first half, then diverge suggesting different
processes. The pattern of the coarse sulfur from mid-October is suggestive of the daily wind
pattern, which was not as clearly followed by fine chlorine.
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Figure 50. Annex—Fall, Coarse Crustal Elements
Figure 50 illustrates the large impact of calcium. The calcium mostly tracks the iron, so it is
probably soil operations, and likely something active (as opposed to entrained dust by vehicles)
such as loading or other material handling process. The fact that it occurs on a non-continuous
basis also suggests a loading type scenario. During most of the days, the daily cycle continues,
which can be used to synchronize the timing of the sampler,
The fine trace metals are part of the health impact process, as they constitute part of the ‘heavy
metal’ category. When emitted as fine material, they can cause a larger impact due to their size,
which allows a deeper incorporation into the body when inhaled.
Table 5 contains the average concentration of the two size fractions as well as the sum of the
two, which makes it the elemental equivalent of PM10. A ranking of the various elements sheds
insight into trends that were suggestive in the plots. For example, the low levels of chlorine
suggest little sea salt incursion, which was seen only sporadically. The relative amounts of fine
vs. coarse fractions is a clue into the how much processing occurred. Both silicon and titanium
show a large coarse to fine ratio, suggesting little processing of soil materials.
Other crustal elements (Al, Si, Ca, Fe) showed dominance of the coarse fraction, due to soil
operations. Sulfur showed similar fine and coarse concentrations, reflective of both process and
sea salt emissions, respectively.
The industrial elements (Zn, Pb, Cu) and the remaining trace elements were at sub-nanogram
concentrations, which provided less information about source while showing low risk impact, as
indicated in the risk comparison tables in Section
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Table 5. DRUM Annex-4: September 26-November 4, 2013
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7.0 PGE RESULTS AND DISCUSSION
The PGE site operated from April 2013 to June, 2014. Its operation was more difficult to
maintain due to its reliance on solar panels for power, which is dependent on time of year, health
of the batteries, the number of instruments in operation, etc. In addition, a secondary instrument
was used as a substitution for periods of repair and maintenance on the main EBAM units.
However, its data was seen to be problematic and variable due to its optical scattering
measurement principle. Therefore, that data was not used. Therefore, there were a number of
down times and data gaps during the July-August period of 2013. However, regardless, there
still was sufficient coverage to provide a complete picture of possible pollutant exposure.
7.1.1. PGE PM10
The hourly PM10 data is shown in Figure 51 and 24-hr averages in Figure 52. The data shows
two periods of varying concentration—early 2013, and then from September, 2013 to April
2014. The pre-summer 2013 data is substantially higher than the remainder of the data set, from
September 2013 to April 2014—greater than 30%. An examination of all available data suggests
this difference is real and that a higher level of activity at the quarry site was creating the higher
levels of fugitive dust.
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Figure 51. RT and Hourly PM10 at PGE Site
(RT = Real-time (15-min) values; Hr. = 1 hour values).
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2
0
1
4
0
:
0
0
5/
3
/
2
0
1
4
0
:
0
0
PM
1
0
m
g
/
m
3
ConcRT(mg/m3)ConcHr(mg/m3)
Ambient Air Assessment at 78
MROSD Park Rancho San Antonio October 2014
Figure 52. PGE PM10 24-Hr Averages
(Red line is California 24-hr Standard = 0.050 mg/m3)
0.000
0.020
0.040
0.060
0.080
0.100
0.120
0.140
3/
2
5
/
2
0
1
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:
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/
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9
/
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0
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/
2
/
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/
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/
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:
0
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/
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:
0
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1/
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/
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:
0
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7
/
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1
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:
0
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:
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/
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:
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0
4/
7
/
2
0
1
4
0
:
0
0
PM
1
0
m
g
/
m
3
PGE 24-hr Avg
California 24-hr Standard
Ambient Air Assessment at 79
MROSD Park Rancho San Antonio October 2014
The November 4, 2013 Mine Inspection Report, completed by PMC, for the County of Santa
Clara documents the quarry activity likely associated with period of higher concentrations. The
report states that during the September inspection, mining was ongoing, “mostly along the upper
portion of the eastern highwall”. This was substantial reclamation-related grading at quarry
location closest to the PGE monitoring location. It was also conducted at the highest elevation,
up to the top of the quarry rim/ ridge-top.
7.1.1.1. Daytime vs. Night Time Emissions
The trends in the PM10 suggest that much of the fugitive dust is transported during the evening
hours when the winds are relatively calm. The detailed 15 minute and 60 minute averages both
show a night time dominance of high concentrations, as shown in Figure 53 which shows a 15
minute peak of over 3.5 mg/m3 as well as hourly averages over 0.5 mg/m3. This period resulted
in violations of the 24-hr. air quality standard.
Figure 54 shows a detail of the wind and PM10 data for a smaller time period.
Night time is typically a time of low particulate matter concentrations in most micro-
environments, such as residential communities. However, in this case, conditions for dispersion
often become poor during the evening hours due to the absence of the daytime convective forces,
leading to the stable nocturnal boundary layer-- lower winds, lower turbulence, and a lower
mixing height. With emission-generating activities, such as occur at the Lehigh quarry, even at
night, these conditions facilitate transport. The result is that emissions that may be easily
dispersed in the daytime are transported to nearby receptors. This circumstance has been
documented in many instances during this study.
Figure 53. PGE June 2013
(RT = Real-time (15-min) values; Hr = 1 hour values).
0
0.5
1
1.5
2
2.5
3
3.5
4
5/
3
1
/
2
0
1
3
1
8
:
0
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6/
1
/
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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6/
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/
2
0
1
3
6
:
0
0
PG
E
P
M
1
0
m
g
/
m
3
RT
Hr
Ambient Air Assessment at 80
MROSD Park Rancho San Antonio October 2014
Figure 54. Low wind speed effect at PGE
Correlated with higher PM10 concentrations
If the daytime hours are compared to the 24-hr periods, one can see the increment for the night
time period. Figure 55 shows the daytime concentrations, and Figure 56 shows the breakdown
of the daytime and night time, including the data from Annex . As shown in the table below, the
increase is by a factor of 2.5. Figure 57 shows both the daytime and 24-hour periods, as well as
the Annex value, to show what a ‘baseline’ concentration should be. In many cases, the daytime
Annex concentration is close to or the same as PGE, however, the 24-hr value is substantially
larger. Indeed, the period of the first week of June shows very concentrations and a large
enhanced nighttime emission. As Figure 53 showed, the a high 15 minute concentration of
greater than 3 mg/m3 (or, >3,000 µg/m3, factor of 60 times the 24-hr California standard.
Ambient Air Assessment at 81
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Annex 24 hr
BAM
PGE 10-hr
Partisol
PGE 24-hr
EBAM
0.012 0.015 0.037
Figure 55. PGE Daytime concentrations vs. Night time
Figure 56. PGE Evening Emissions Comparison
Annex values included for comparison.
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
40.0
45.0
5/21/2014 5/26/2014 5/31/2014 6/5/2014 6/10/2014 6/15/2014 6/20/2014
ug
/
m
3
Daytime Avg
0.000
0.020
0.040
0.060
0.080
0.100
0.120
0.140
6/
1
/
2
0
1
3
0
:
0
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/
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:
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/
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0
1
3
0
:
0
0
mg
/
m
3
Annex 24 hr PGE 10-hr PGE 24-hr
Ambient Air Assessment at 82
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Figure 57. PGE PM10 Diurnal Pattern.
Average of total monitoring period.
The diurnal plot is used to show what occurs at each hour of the day on average. This is done by
separating the hours from each daily period and averaging along each hour. It is much more
instructive than looking at time series plots, in which normal variability can obscure information.
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
0.045
0:
0
0
1:
0
0
2:
0
0
3:
0
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4:
0
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5:
0
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6:
0
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7:
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8:
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9:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
0
0
PG
E
P
M
1
0
m
g
/
m
3
Ambient Air Assessment at 83
MROSD Park Rancho San Antonio October 2014
7.1.2. PGE-Black Carbon
Black carbon at PGE was collected in three sections, shown in Figures 58-60 From May 2013 to
September 2013, an AE-16 rack aethalometer was used, at which time that unit was put into
service at the background field sites—OSD and BLN. A new microAethalometer was obtained
and put into service at PGE. This unit has the advantage of requiring very little power, as it was
designed for personal sampling. The downside of that portability was that it needed to be
downloaded and re-loaded with sampling tape approximately once every week.
These three portions of time had the following averages:
May 2013-August 2013: 338 ng/m3
September 2013-November 2013: 276 ng/m3
December 2014-April 2014: 384 ng/m3
The overall average for these three periods is 332 ng/m3.
The black carbon concentration is both used by itself and an indication of traffic sources,
particularly heavy duty diesel, but it also can easily be converted to diesel particulate matter
(multiply by factor of two), which is what the health standard is based on.
The data plots in Figures 58-60 are similar to other parameters in that the daily concentration is
affected by the daily meteorological cycle. This can be seen even in the standard 5-minute data
plots. The diurnal pattern often shows peaks in the morning and in the afternoon from commute
times. As is shown later, there are instances where the morning peak is detected at Annex, but it
was not detected at PGE.
Ambient Air Assessment at 84
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Figure 58. PGE BC—May 2013-August 2013
0
500
1000
1500
2000
5/
2
7
/
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0
1
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:
0
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:
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:
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8/
1
2
/
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0
1
3
0
:
0
0
PG
E
B
C
n
g
/
m
3
Ambient Air Assessment at 85
MROSD Park Rancho San Antonio October 2014
Figure 59. PGE BC, September 2013-November, 2013
0
500
1000
1500
2000
2500
3000
9/
7
/
2
0
1
3
0
:
0
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:
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:
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/
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:
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:
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:
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/
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:
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:
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/
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0
1
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0
:
0
0
PG
E
B
C
S
e
p
t
1
3
-No
v
1
3
Ambient Air Assessment at 86
MROSD Park Rancho San Antonio October 2014
Figure 60. PGE BC: January 2014-Apr 2014
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
12
/
1
6
/
2
0
1
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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:
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4/
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/
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0
:
0
0
PG
E
B
C
n
g
/
m
3
Ambient Air Assessment at 87
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7.1.3. PGE-Elements
Two sample sets using the DRUM sampler were run—May-June, 2014 (PGE1), and October-
November, 2013 (PGE2). In addition, a daytime Partisol sampling was conducted in May to
June, 2014.
7.1.3.1. PGE1 DRUM
DRUM sampling was conducted at the PGE site from May 24, 2013 to June 21, 2013 using a 2-
channel sampler, which provides 3-hr time resolved concentration at two size cuts: 0.09 um to
0.75 um and from 0.75 um to 10 um, categorized as very fine and coarse, although usually a
coarse fraction is limited to just the sizes between 2.5 um and 10 um. Together, the sum of these
concentrations is PM10 size selected. However, the two individual channels can provide other
information about the source of the detected elements. As with the Annex DRUM data, very fine
fraction is associated with process emissions, and therefore is reflective of stack emissions in
contrast to coarse size fractions that are associated with fugitive dust such as from quarry
operations, from which the PGE site would be expected to experience an impact.
Figure 61. Fine Crustal Elements and Sea Salt
Fine sulfur shows that a process is underway in Figure 61. The relatively high concentrations—
up in the hundreds of nanograms per cubic meter—suggest this is a primary process. Since
quarry operations were underway during this same period, it suggests a major process run.
Ambient Air Assessment at 88
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Figure 62. Coarse Silicon, chlorine and sulfur
The coarse sulfur is low in Figure 62, so relatively unimportant. Sporadic incursions of sea salt,
though at relatively high concentrations, suggest summer time stagnant air conditions, followed
by a breakthrough of the usual on-and off-shore pattern.
Ambient Air Assessment at 89
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Figure 63. Coarse and Fine Fractions
The combination of different size fractions in Figure 63 is a diagnostic of what processes are
occurring. There are two processes: fine sulfur coming from a combustion source, and coarse
sulfur and chlorine from sea salt.
Ambient Air Assessment at 90
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Figure 64. Coarse crustal elements
Similar to Figure 62, with sporadic sea salt occurrences. Other soil elements are present only at
low level, and there is little calcium enrichment. Therefore, not much soil processing occurring
from what this data is saying, though that is contradicted by other elemental comparisons.
Ambient Air Assessment at 91
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Figure 65. Fine Crustal Elements
\
Fine sea-salt chlorine dominates this data subset in Figure 65. The other crustal elements show
low concentrations, indicating no processing is occurring.
Ambient Air Assessment at 92
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Figure 66. Fine Trace Metals
Figure 66 shows that the amount of fine industrial emission metals are low. The soil elements
and other higher concentration crustal materials are out of range, with the remaining elements
down at the single digit nanogram per cubic meter range. This is useful to know that little of the
process emissions are detectable at this site.
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Table 6. PGE1 DRUM Average Concentrations
ng/m3 Size Channels Total
Element 0.09 to 0.75 um 0.75 to 10 um 10 um
S 124.15 133.4 257.54
Cl 0.80 187.0 187.80
Ca 3.82 132.7 136.47
Si 34.70 98.3 133.03
Fe 2.43 87.4 89.79
Mg 2.51 77.0 79.50
Na 30.47 41.3 71.73
K 2.62 37.2 39.79
Al 0.59 36.1 36.69
Mo 17.40 14.3 31.72
Y 6.45 7.8 14.29
Zr 3.36 9.1 12.43
Ti 0.34 8.4 8.73
Sr 4.01 3.8 7.81
Cu 2.85 3.6 6.48
Pb 2.63 3.5 6.18
Rb 2.11 1.8 3.87
Zn 1.82 1.8 3.63
P 2.53 0.4 2.91
Br 1.08 1.4 2.43
Mn 0.07 0.9 0.95
V 0.11 0.6 0.66
Se 0.37 0.3 0.63
Cr 0.11 0.2 0.32
Co 0.01 0.3 0.28
Ni 0.12 0.1 0.22
Ga 0.01 0.0 0.01
As 0.01 0.0 0.01
Table 6 shows that sulfur was at the highest concentration, in both fine and coarse modes. This
suggests a high temperature process is underway. Chlorine is present in the coarse mode in a
heavy way, with nearly no fine fraction—strong oceanic air contribution. Also, calcium appears
enriched, as is higher than both silicon and iron.
Ambient Air Assessment at 94
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7.1.3.2. PGE 2 DRUM
The PGE site was almost continuously impacted by excess calcium (limestone) that included re-
suspended deposits. Periodically, the site was impacted by massive CA episodes, Figure 67.
Figure 67. Coarse Crustal Elements
Heavy influence of soil and calcium, though greater at various periods. The silicon and
aluminum seem relatively constant, so it must be source material related, not just soil emissions.
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Figure 68. PGE Coarse Sulfur
Coarse sulfur is associated with sea salt. The large amount of coarse sulfur is unusual in Figure
68, and on some occasions matches coarse calcium, as one might see for gypsum. The diurnal fine
sulfur peak has many sources, with several known fires during that time. There are a few occasions
of enhanced fine calcium, coincident with coarse episodes but at much lower concentrations.
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Figure 69. Fine Sulfur and Potassium
Figure 69. The very high peak on October 26 is indicative of a combustion-related emission, as
the fine peak dominates. However, there is no potassium, which is a tracer for wood smoke.
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Table 7. Summary of PGE 2 DRUM data
Element
Stages 1 to
4
Stages 5 to
8 10 um
Average average Sum:
ng/m3
Cl 169.08 0.28 169.36
Ca 144.45 3.48 147.92
S 130.95 117.96 248.91
Si 97.64 -- 97.64
Fe 91.78 2.26 94.03
Mg 68.76 -0.39 68.37
K 35.45 2.77 38.22
Al 34.15 -0.46 33.69
Na 9.57 9.46 19.04
Ti 8.33 0.26 8.59
Mo 3.63 7.31 10.93
Cu 3.39 2.07 5.46
Zr 3.04 2.66 5.71
Zn 1.58 1.44 3.02
Y 1.53 2.29 3.82
Sr 1.51 2.05 3.56
Mn 0.84 0.08 0.92
V 0.59 0.10 0.69
Pb 0.59 0.88 1.47
Br 0.58 0.46 1.05
Rb 0.42 0.67 1.10
Co 0.29 0.01 0.30
Cr 0.22 0.08 0.30
Se 0.21 0.27 0.48
Ni 0.07 0.06 0.13
Ga 0.01 0.01 0.01
As 0.00 0.01 0.01
P -- 1.04 1.04
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8.0 OSD SITE DATA
8.1.1. OSD Meteorology
The onsite meteorology data collected was found to be in error, with a wrong direction
orientation after a shift in the mast.. Therefore, offsite data was used to provide wind speed and
direction information. Specifically, Moffett Field, as the closest air field to OSD, it is more
representative of that area than the sites closer to the mountains, several miles away.
8.1.2. OSD PM10
Figure 70 shows the data from the OSD rooftop. The usual pattern of mostly moderate
concentrations is mixed with a number of short-term spikes. As with all air quality assessments,
the major importance is in the long-term trends. For this period of time, which was expected to
be nominally consistent with annual conditions, the PM10 average was 26 µg/m3, which exceeds
the California standard. However, this is not unexpected due to its urban location, only 25 yards
from a major traffic source.
In addition, BAAQMD data shows that the overall average for urban areas is 28 µg/m3, so this
area is consistent with other locations in the area.
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Figure 70. PM10 Data from OSD Office
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Figure 71. OSD Diurnal Pattern
Figure 71 shows the daily diurnal pattern that is representative of the inclusion of daily traffic
effects in the morning hours.
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OSD Diurnal Pattern--PM10
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8.1.3. OSD Black Carbon
As with PM10, the urban location implies more sources with higher emissions. Black carbon, as
an indicator of vehicle traffic, particularly diesel vehicles, is expected to be higher than at RSA.
The average for the September to November period was 601 ng/m3, which is consistent with
other Bay Area black carbon concentrations. Figure 72 shows the 5 minute data.
Figure 72. OSD Black Carbon—5 minute
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Figure 73. BC Diurnal Pattern at OSD
Shows commute periods.
Figure 73 shows the diurnal pattern, including both the morning and afternoon commute periods.
This is in contrast to the lack of these indications at RSA, which is shielded from those
influences.
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8.1.4. OSD Elements
8.1.4.1. OSD DRUM
A two channel DRUM sampler collected coarse and fine size particulate for 35 days, from
September 19 to October 20. Figures 75 through 79 show various aspect of results from these
samples.
Figure 74 shows the effect of long-range transport of potassium from a fire around September
29. A forest fire from the southern coastal area was implicated as the source for this peak.
Potassium as detected in the fine mode with the high sensitivity of the S-XRF is a sensitive tracer
for combustion events.
Figure 74. Coarse Source Category Elements
These three elements are indicators of major influence: silicon for soil, chlorine for sea salt, and
sulfur for sea salt.
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OSD 1
10 > Dp > 0.75 micrometers diameter
Silicon (for soil, ~ x 4)Chlorine (for sea salt, x 1.65)Sulfur
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Figure 75. Fine Source Category Elements
Figure 75: Same as previous plot, but for fine fraction. The fine sulfur shows a peak on October
28th, suggesting a combustion source.
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September October
OSD 1
0.75 > Dp > 0.09 micrometers diameter
Silicon (for soil, ~ x 4)Chlorine (for sea salt, x 1.65)Sulfur
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Figure 76. Coarse Crustal Aerosols
Coarse crustal aerosols show the influence of soil-related materials. The chlorine levels are
relatively high compared to other influences.
Figure 77. Fine Crustal Aerosols
High levels of potassium were not detected at PGE DRUM, so source was very directional
(northerly). The high levels of potassium indicate a wood smoke source.
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OSD 1
Coarse crustal aerosols 10 to 0.75 micrometers
Calcium Silicon (for soil, ~ x 4)Chlorine (for sea salt, x 1.65)Potassium Iron
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September October
OSD 1
Fine crustal aerosols 0.75 to 0.09 micrometers
Silicon (for soil, ~ x 4)Chlorine (for sea salt, x 1.65)Potassium Calcium Iron
Ambient Air Assessment at 106
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Figure 78. Fine Trace Metals
The fine trace metals are indicators of industrial emissions. The metals show a very low
influence amidst much larger effects from fine sulfur (from combustion) and coarse sulfur and
chorine from sea salt.
-1000
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OSD 1
Fine Trace metals
Nickel Copper Zinc Chlorine (for sea salt, x 1.65)Sulfur, 0.75 > Dp > 0.09 Sulfur, 10 > Dp > 0.75
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The average concentrations are shown in Table 8. These values will be combined with the other
DRUM data for evaluation.
Table 8. DRUM Results at OSD Site
(ng/m3)
Element Coarse Fine Sum
Na 232.9 37.27 270.1
Mg 74.4 2.80 77.2
Al 44.7 0.85 45.6
Si 124.3 5.30 129.6
P 1.3 2.77 4.1
S 126.7 121.92 248.6
Cl 509.2 10.54 519.7
K 53.4 70.56 123.9
Ca 86.9 3.37 90.3
Ti 10.0 1.55 11.5
V 0.5 0.05 0.5
Cr 0.3 0.06 0.4
Mn 1.3 0.13 1.5
Fe 93.1 5.21 98.3
Co 0.3 0.02 0.3
Ni 0.0 0.06 0.1
Cu 6.0 1.01 7.0
Zn 3.4 1.64 5.1
Ga 0.0 0.00 0.0
As 0.0 0.00 0.0
Se 0.2 0.26 0.4
Br 1.4 1.52 2.9
Rb 1.7 2.60 4.3
Sr 4.2 4.76 8.9
Y 8.5 7.17 15.7
Zr 10.4 5.95 16.3
Mo 17.1 20.42 37.5
Pb 3.0 2.48 5.5
.
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9.0 BLN SITE DATA
9.1.1. BLN Meteorology
The meteorological data collected a the BLN site was determined to be faulty due to a shift in the
wind direction sensor. Therefore, the local RAWS in Los Altos (LOAC1) station was used for
meteorology. This station is less than one-half mile from the BLN site. The wind rose for this
site was shown in Figure 82. The typical trend is for a southwest and northeast daily pattern.
9.1.2. BLN PM10
PM10 data was collected as part of the Partisol filter sampling. In addition to the XRF analysis
for elements, a gravimetric measurement of the collected aerosol was made. These results will
be presented alongside the elemental data.
9.1.3. BLN Black Carbon
Figure 79. The average for black carbon at BLN was 269 ng/m3, which is representative of a
residential area, and very close to the RSA value. Located at an elevated position, approximately
1 mile from I-280, the site would be expected to be affected mainly by regional trends.
Figure 79. Black Carbon at BLN
For this location, the major influence would be from the clean oceanic air from the southwest
and northwest, as suggested by the wind rose. However, a minor effect can be seen from the
diurnal pattern shown in Figure 80, with a small peak at around 8 AM.
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Ambient Air Assessment at 109
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Figure 80. BLN Diurnal Pattern
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Ambient Air Assessment at 110
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10.0 TOXICS—ALL SITES
Because of the limited analytes and smaller data sets, a combination presentation will be more
efficient and comprehensive, particularly in comparing sites.
10.1.1. Volatile Organic Compounds
Table 9 shows the results of the 24-hr canister sampling. There were several VOCs detected,
most of which are generally found in the atmosphere (e.g., acetone). A key target (and risk
driver) however was found in all samples—benzene. However, its detection was affected by an
overall laboratory contamination.
The concentrations measured in the field samples were affected by the presence—in all sample
batches—of benzene at a concentration of greater than three times the detection limit, indicating
a high confidence detection. When this amount is subtracted from the average, an amount of
approximately 0.9 µg/m3 remains.
In addition, one sample at BLN was invalidated due to contamination from a lawn mower during
one of the sampling events. This data was removed.
It is noteworthy that all the field samples—Annex and PGE, for example, for RSA onsite
samples—all contained approximately the same concentration. It is concluded from reviewing
all the field and laboratory data that the detected benzene is a combination of contamination and
actual presence in the atmosphere. However, it is believed that the concentration is regional, as
PGE is affected at approximately the same magnitude as Annex and BLN. The fact that PGE
contains that same amount is of interest, as there are no local sources (within at least one-half
mile, to the Lehigh quarry) to cause these values. The OSD benzene was lower than the RSA
sites, which is unexpected since the higher traffic effects are expected.
Regardless of the actual source, the risk evaluation will show that the estimated overall
concentration of 1.5 µg/m3 is half of the 3 µg/m3 REL risk value.
Ambient Air Assessment at 111
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Table 9. All VOC Detections and Averages
(Percent = Percent Detected)
Annex
Compound Percent Average (ug/m3)
1,1,2-Trichloroethane 7.7% 0.49
1,2,4-Trimethylbenzene 92.3% 0.78
1,3,5-Trimethylbenzene 42% 0.76
1,3-Dichloropropane 7.7% 0.34
2,2,4-Trimethylpentane 46.2% 0.71
2-Butanone 7.7% 1.19
4-Ethyltoluene 23.1% 0.86
Acetone 69.2% 8.83
Benzene 92.3% 2.29
Dichloromethane 15.4% 0.78
Ethylbenzene 38.5% 0.82
Hexane 23.1% 4.35
Isopropylbenzene 15.4% 0.67
m,p-Xylenes 76.9% 2.89
Naphthalene 7.7% 3.05
n-Propylbenzene 7.7% 0.84
o-Xylene 69.2% 1.38
Toluene 84.6% 6.94
Trichlorofluoromethane 38.5% 0.71
PGE
Compound Percent Average (ug/m3)
1,2,4-Trimethylbenzene 50% 0.91
1,3,5-Trimethylbenzene 33% 0.76
2,2,4-Trimethylpentane 83% 1.86
4-Ethyltoluene 17% 0.93
Benzene 100% 2.73
Dichloromethane 67% 1.40
Ethylbenzene 67% 1.63
Hexane 33% 2.89
Isopropylbenzene 50% 1.99
m,p-Xylenes 100% 4.56
o-Xylene 83% 1.91
Toluene 100% 16.25
Ambient Air Assessment at 112
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OSD
Compound Percent Average (ug/m3)
Acetone 75% 9.39
Benzene 100% 1.58
Carbon disulfide 25% 2.98
Dichloromethane 25% 0.49
Hexane 25% 5.74
m,p-Xylenes 50% 0.83
o-Xylene 25% 0.96
Styrene 25% 0.36
Tetrachloroethene 25% 0.29
Toluene 100% 3.23
Trichlorofluoromethane 25% 0.61
BLN
Compound Percent Average (ug/m3)
2,2,4-Trimethylpentane 50% 0.59
Acetone 50% 6.50
Benzene 100% 2.47
m,p-Xylenes 100% 1.41
o-Xylene 100% 1.42
Toluene 50% 3.92
Trichlorofluoromethane 50% 0.93
Blanks
Compound Count Average (ug/m3)
Benzene 6 0.85
Dichloromethane 1 0.60
m,p-Xylenes 1 0.62
o-Xylene 1 0.44
Tetrachloroethene 1 0.79
Toluene 4 1.44
Ambient Air Assessment at 113
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10.1.2. Mercury
Table 10 shows the summary from sample collection at all four sites. The summary data show
that there is a gradient between PGE and Annex, suggesting influence from Lehigh. BLN and
OSD showed virtually identical values, suggesting that less than 1 ng/m3 is the regional
background level. Other informal sources suggest that 1-2 ng/m3 is a typical global background
concentration.23 The RSL for mercury is 31 ng/m3, so the measured values at RSA are from 10 to
30 times lower than the risk level.
Table 10. Mercury Sampling Results
Site Sample Date Total Hg
(ng/m³)
Average
(ng/m3)
Annex 7/31/2013 0.753 1.0
8/28/2013 0.575
10/28/2013 1.047
11/16/2013 0.678
12/15/2013 0.286
2/21/2014 1.078
2/22/2014 1.517
2/23/2014 1.011
3/8/2014 1.003
4/19/2014 1.578
5/3/2014 1.367
5/24/2014 1.561
PGE 7/31/2013 8.299 2.9
8/28/2013 4.340
10/28/2013 3.618
11/16/2013 2.819
12/15/2013 1.208
2/23/2014 0.347
3/7/2014 0.347
4/19/2014 2.444
5/3/2014 2.146
5/24/2014 3.708
OSD 9/23/2013 0.139 0.25
10/28/2013 0.358
23 Personal communication, Robert Brunette, Eurofins FrontierGS, Technical Director of Mercury Analysis
laboratory.
Ambient Air Assessment at 114
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BLN 2/21/2014 0.333 0.35
2/22/2014 0.297
2/23/2014 0.450
3/8/2014 0.303
Table 11. Summary of Mercury Measurements
(ng/m3)
Annex 1.0
PGE 2.9
OSD 0.25
BLN 0.35
10.1.3. Hexavalent Chromium
Similar to mercury, the data show a gradient between the PGE and other sites. Table 12 shows
all the hexavalent chromium results. Table 13 shows the summary, which indicates much higher
concentration at PGE vs. any of the other sites, particularly Annex. The two background
locations are quite variable.
The RSL health standard is 100 ng/m3, so the detected concentrations are much lower than any
point of concern.
Table 12. Hexavalent chromium Data
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Table 13. Site Averages Hexavalent Chromium
11.0 OBSERVATIONS
11.1.1. AAQS Violations
11.1.1.1. Annex—PM2.5
As noted in Section 5.4, the annual standard for PM2.5 was exceeded, at least on a numerical
basis. However, that discussion also presented an alternative method for assessing that value as
well as indicating the basis for a formal exceedance, which was not met for this test program.
11.1.1.2. PGE PM10
While the majority of the data was below ambient air quality standards, there was a period
during which PGE site measured very high emissions, presumably from the nearby quarry. See
Figure 81 which contains both PGE and Annex. This shows that on a few occasions, the
elevated PGE levels were transported to Annex and impacted that site as well.
The 24-hour data shows that there were 14 exceedances of the 24-hr California ambient air
quality standards, ranging from 0.120 mg/m3 to 0.050 mg/m3, shown in Table 14. All except one
of these were during the springtime of 2013 period of high detected concentrations.
Table 14. California AAQS Violations
Date Avg-24 hr.
6/4/2013 0:00 0.120
5/13/2013 0:00 0.084
5/2/2013 0:00 0.082
6/3/2013 0:00 0.072
6/8/2013 0:00 0.067
7/13/2013 0:00 0.061
6/6/2013 0:00 0.059
6/2/2013 0:00 0.059
4/29/2013 0:00 0.057
5/31/2013 0:00 0.056
7/5/2013 0:00 0.055
6/14/2013 0:00 0.055
6/5/2013 0:00 0.054
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1/24/2014 0:00 0.050
Figure 81 shows a plot of hourly data collected at the PGE site, as well as concurrent data at the
Annex site. The PGE data shows an extended period in which very concentrations were
measured, though it is interesting that they occurred during the evening hours. Figures 82 and 83
are smaller time frames that allow the timing to be visualized.
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Figure 81. PGE and Annex PM10 Data, June 2013
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Annex PM10
PGE PM10
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Figure 82. PGE and Annex Diurnal PM10
Figure 83. PGE PM10 Diurnal Pattern
Shows the effect of the nighttime emissions phenomenon that was detected by observing
enhanced concentrations at PGE during the spring of 2013. From these data, it appears that this
started at the end of May and went through July.
0.000
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PGE-June 2013 Annex-June 2013
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11.1.2. Calcium Carbonate Enhancement
The question of calcium deposition was clearly demonstrated by multiple avenues. The presence
of calcium carbonate as a deposition has been recognized for years, as there is no other source
for this type of dust in the area. However, several lines of evidence were collected to confirm
this observation. Some specific instances of detection are shown below, while the elemental
data, both DRUM and Partisol, show clearly this same conclusion.
11.1.2.1. Elemental Data Ratio
Elemental ratios in collected samples, both DRUM and Partisol samples, showed significant
enhancement relative to standard crustal concentrations in California.24 Table 15 shows the
enhancement from two soil element ratios—Titanium and Iron—at all the test sites. Using both
ratios, the enhancement from Calcium is seen to be approximately a factor of two compared to
the standard crustal values.
In addition, a gradient is seen between the locations: PGE is higher than Annex, as would be
expected, though not by a large amount, and Annex is higher than OSD. BLN is the same as
Annex, which is not surprising since it is located approximately the same distance from the
quarry as the BLN site and would be subjected to similar fugitive dust plumes.
Table 15. Elemental Enhancement
Location Ca/Ti Ca/Fe
Crust 7.28 0.74
Annex 14.7 1.49
PGE 16.0 1.51
BLN 14.7 1.49
OSD 7.8 0.92
11.1.2.2. Elemental Abundance Ratio
An alternative method is the enrichment factor ratio, which takes the ratio between a comparison
pair to the potential enhanced pair. In this approach, it is site-specific and not dependent on
literature values that may not be representative of the site:
𝐸𝐸𝑟=
𝐸𝑟
𝑇𝑖𝑟
𝐸𝑟
𝑇𝑖𝑟
Es = element (Ca) in sample
Ti = Titanium in sample
24 Background Concentrations of Trace and Major Elements in California Soils,
http://envisci.ucr.edu/downloads/chang/kearney_special_report_1996 .pdf
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Er = element (Ca) in earth abundance reference
Tir = Titanium in earth abundance reference
The result of this calculation for both Iron and Titanium was:
Ca/Fe 1.2
Ca/Ti 10.8
If there was no enhancement, the ratio would be 1.0. Therefore, these two ratios show that the
Calcium is enriched by factors between 0.2 and ~11. While this range is wide, this calculation
confirms the excess Calcium in the atmosphere that is deposited on surfaces. As is discussed in
relation to the PGE results from June, 2013, it is thought that the low wind speeds in the evening
allow high concentrations to be transported in the stable nocturnal conditions.
11.1.2.3. Directional Dependence of Calcium Detection
Using DRUM data at Annex for both coarse and fine modes, for both Calcium and Silicon, a
comparison was made of detections with the wind direction. Figure 84 shows how the detections
are clustered around 245 degrees, which leads from Annex to the upper section of the quarry and
which coincides with the Annex wind rose.
Figure 84. Wind Direction Dependence of silicon and calcium.
L = left axis, C = coarse fraction (chan 1),
R = right axis, F = fine fraction (chan 5), VS = very fine fraction (chan 8).
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Wind Direction
WD Dependence
Si-C-L Ca-C-L Ca-VF-R Ca-F-R
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The cluster shows both coarse (from quarry fugitives) and fine/very fine (from process
emissions).
The dominant frequency is around 245 degrees, but there is a second cluster for the north-east
sectors. Two options are suggested for this observation: non-plant sources, or emissions that
have been transported around the edge of the mountain, perhaps even through the valley to reach
the Annex site. The low levels of fine Calcium in comparison to the other direction, plus the
relatively consistence between coarse Silicon and Calcium suggest a soil source. Therefore, it is
concluded that these detections are from background urban sources.
Another example of the directional dependence of Calcium detection is shown in Figure 85.
This plot shows a consistent wind direction of around 245 degrees. The detection of coarse
Silicon is tracked well by Calcium. There is a period with sporadic rains—from January 5-14,
where everything is cut down. Then, starting at January 23, the plant enters its shutdown phase,
so all concentrations decrease.
Figure 85. Wind Direction Dependence on Calcium enrichment
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Ca-C Si-C-L WD-R
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11.1.2.4. Passive Sampler
Passive samplers were deployed at three sites and subsequently analyzed by electron microscope
with x-ray microprobe analysis. This analysis provides both a mass concentration for the coarse
and fine fractions, but also shows enhancements for the target elements.
These results were not as dramatic some of the other results, these results do indicate a difference
between PGE and the other locations.
Table 16. Passive Sampler Results
Annex PGE OSD
Description Number% Number% Number%
Ca-rich soil 6 8 4
Ca-rich 8.5 15.5 13
Wt% Wt% Wt%
Ca-rich soil 5.5 13 8
Ca-rich 5 18.5 7
Table 1
11.1.2.5. Soil Samples
Soil samples were collected at three sites to assess the possible enhancement of Calcium and
other industrial metals from deposition. The sites were PGE, on the Hill trail, and at Annex.
Two types of samples were collected: surface scrape, and subsurface (6” depth) (surface scrape
only at Hill trail). The samples were analyzed by ICP-MS for Calcium and the CAM-17 metals.
Table 17 shows the results. The data show higher levels of Calcium in the surface samples than
in the subsurface samples, with a range of a factor of 1.2 at the Annex to 2.3 at the Hill Trail
surface. Both the Hill Trail and PGE samples showed a higher enhancement than the Annex,
which is what would be expected considering the distance from the quarry source. While not a
rigorous test, this confirms the many other results that show the presence of calcium carbonate,
indicative of surface deposition.
Table 17. Soil Samples—Calcium Enrichment
Annex
Surface
Annex
Subsurface
Hill
Surface
PGE
Subsurface
PGE
Surface
ANALYTE Result Result Result Result Result DL RL UNITS
Calcium 23000 19000 43000 18000 31000 13 50 mg/kg
Enhancement 1.2 2.3 1.7
Antimony 4.4 4.6 2.7 4.7 2.9 2.0 2.5 mg/kg
Nickel 130 79 61 83 79 0.21 1.0 mg/kg
Silver ND ND ND ND ND 0.18 0.50 mg/kg
Vanadium 130 160 99 170 110 0.090 1.0 mg/kg
Ambient Air Assessment at 123
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Zinc 94 93 64 81 87 0.27 1.0 mg/kg
Barium 170 130 210 98 160 0.57 1.0 mg/kg
Beryllium ND ND ND ND ND 0.050 0.50 mg/kg
Cadmium 0.81 2.0 ND 0.74 0.98 0.15 0.50 mg/kg
Cobalt 34 38 23 43 30 0.080 1.0 mg/kg
Chromium 160 150 81 150 64 0.31 1.0 mg/kg
Copper 60 72 40 79 64 0.30 1.0 mg/kg
Lead 8.1 6.2 ND ND ND 0.87 2.5 mg/kg
Molybdenum ND ND ND ND 1.6 0.24 1.0 mg/kg
Arsenic 1.2 ND 1.1 ND 2.5 0.39 1.0 mg/kg
Selenium ND ND ND ND ND 0.11 2.5 mg/kg
Thallium ND ND ND ND ND 0.022 1.0 mg/kg
Mercury 0.14 ND 0.12 ND ND 0.0072 0.10 mg/kg
Ambient Air Assessment at 124
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11.1.3. Plume Visuals
11.1.3.1. Plume from Plant
An example of the effect of dominant meteorology from the obvious potentially major source
adjacent to RSA occurred on November 15, 2013, around 15:00. The afternoon light facilitated
the visual impact of the emission plume from the Lehigh plant. It shows what appears to be
emissions from numerous points of the short to tall buildings, possibly both point and fugitive
emissions.
The wind and PM10 data was examined for this period to determine what the conditions were at
RSA.
Figure 86. Point and Fugitive Emissions from Lehigh Plant—Nov 15, 2013 15:00
The wind data are shown in Figure 87, indicating the wind direction was constant for the night
time hours, and shifted quickly in the early morning hours to a northerly to north-easterly
Ambient Air Assessment at 125
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direction throughout the day. Then again at night, it resumed the usual southwest pattern. Both
at night and during the day, the winds were low, indeed low and constant during the day hours.
Figure 87. Wind data for November 15, 2013
The Hysplit model, which tracks air masses in time, was used to examine the pattern for this day.
Figure 88. shows the results, indicating the air for that day originated along the north coast,
hugging the coast, presumably transporting clean air.
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Figure 88. Hysplit Trajectory Model—shows origin of air masses
The PM10 data for that day show low concentrations throughout the day until the evening when
concentrations increased somewhat, as shown in Figure 87.
Figure 89. Annex PM10
0
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Figure 90. Annual Wind Rose for Lehigh
The annual wind effects at Lehigh are illustrated in their wind rose, indicating major wind
direction petals originating from the north and northwest, consistent with this model.
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11.1.3.2. Blast Plume
June 5, 2013 2 PM—Blast Observed.
Plume observed by public, but was not detected to impact the Annex. The wind was from the
north as is mostly the case during the day time hours.
Figure 91. PGE Data during blast
11.1.3.3. Blast Event
Figure 92 contains a series of photos of the plume from a blast event, showing how the
momentum of the blast combines with the normal daytime turbulence to provide lift to transport
the plume up and away to the east, away from RSA. The elapsed time was approximately four
minutes.
There was no change in the monitors’ data, as this plume was not carried up and over any of the
monitoring sites.
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Ambient Air Assessment at 129
MROSD Park Rancho San Antonio October 2014
Figure 92. Plume from blast, May 25, 2013 2 PM
Ambient Air Assessment at 130
MROSD Park Rancho San Antonio October 2014
11.1.3.4. Haze Observation: June 21, 2013 7 AM
Daytime wind directions from the north precluded impact to the RSA area from plant emissions.
Evening concentrations increase, as is a common pattern due to low wind speeds and changing
directions. Figure 93.
Figure 93. PGE data during observation of Lehigh haze event.
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Ambient Air Assessment at 131
MROSD Park Rancho San Antonio October 2014
11.1.3.5. Regional meteorological Conditions during sampling
Figure 94. Meteorological Conditions—Mercury Sampling
(C = Cupertino, L = Los Altos)
Figure 94. During a mercury sampling event on Feb 23-24, 2013, the wind patterns changed
over time. The combination of the two monitoring stations at Cupertino (BAAQMD) and Los
Altos RAWS shows the effect of the local topology.
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Ambient Air Assessment at 132
MROSD Park Rancho San Antonio October 2014
11.1.3.6. Deer Hollow—Influence of close sources
Monitoring was initiated at Deer Hollow, but was discontinued after several months due to the
noted effect of nearby, very localized sources. It was noted that both the early morning (staff
arrival and activities) and afternoon busy periods (visitors) were detected.
Figure 95 shows the diurnal pattern of the Deer Hollow data in comparison to the Annex pattern.
This suggests that an enhancement on the order of 2-5 ug/m3 easily occurs if close to the source.
No evidence of the same influence was seen at Annex, which is higher and away from the trails,
so somewhere between 50 and 100 feet appears to be the factor.
Figure 95. Deer Hollow diurnal pattern
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Annex PM10 Deer Hollow PM10
Ambient Air Assessment at 133
MROSD Park Rancho San Antonio October 2014
11.2. Site Comparisons
11.2.1. Annex-PGE-BLN
Besides the DRUM sampler, elemental concentrations were collected via a Partisol sampler,
which provides a 24-hr average concentration. While this sort of sample is less powerful in
assessing source characteristics, its main value is a direct input into risk comparisons, which are
based on 24-hr averages. In addition, the Partisol is a Federal Equivalent Method, which carries
with it the inherent validation of EPA methodology. While the DRUM sampler has substantial
quality assurance and comparative validation data available, it does not carry the same FEM
designation.
Table 18 contains the results from the Partisol sampling at the Annex, PGE and BLN sites.
Figure 96 shows the summary of these values. Note that the PGE results are for day time period
only—the 10 hour period from 7 AM to 5 PM. This was done due to the limited availability of
power from the solar panels.
Even with the shorter time period for the PGE site, the concentrations for all elements are
substantially larger. This is not surprising based on all the other site data.
The shorter time period for these samples are not as useful for trends compared to the DRUM
samples, so the results are integrated only into the risk calculations.
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MROSD Park Rancho San Antonio October 2014
Table 18. 24-hr Integrated Sampling/XRF Analysis
Ambient Air Assessment at 135
MROSD Park Rancho San Antonio October 2014
Figure 96. Plot of Average Elemental Concentration
(µg/m3, ranked by concentration at PGE site)
Table 19. shows the ratio between various concentrations obtained from the elemental data.
When compared to the standard earth element crustal ratios, it is seen that Calcium has a varying
indication of enhancement from different elements. The gradient between sites is not as
pronounced for Calcium as for other parameters.
0.000
0.250
0.500
0.750
1.000
1.250
1.500
1.750
2.000
Na Cl S Si Ca Fe Al K Mg
ug
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m
3
PGE
Ann
BLN
0.000
0.010
0.020
0.030
0.040
0.050
Ti Zn Cu Cr La Se P Pb Ag Ni Ga Sb As Hg
ug
/
m
3
PGE
Ann
BLN
Ambient Air Assessment at 136
MROSD Park Rancho San Antonio October 2014
Table 19. Elemental Ratios
Location Ann-1 Ann-2 Ann-3 Ann-Avg PGE-1 BLN-1 Crust
Ca/Si 1.11 0.65 0.59 0.69 0.72 0.69 0.15
Ca/Ti 18.7 13.8 13.6 14.7 16.0 14.7 7.28
Ca/Fe 1.71 1.41 1.45 1.49 1.51 1.49 0.74
11.2.2. Diurnal Patterns
The combined diurnal pattern of PM10, PM2.5, and Black Carbon is illustrative of the daily
trends. It is a compilation of all data collected during monitoring period. Figure 97 shows how
PM10 is relatively constant throughout the day time hours, with small increases during commute
times. This was mirrored by PM2.5, though at a slightly lower level as expected.
Figure 97. Annex PM Diurnal Patterns
Annex only, to emphasize scale
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Ambient Air Assessment at 137
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Figure 98. Annex PM10, Annex PM2.5, OSD PM10
Figure 98 shows both the Annex and PGE sites to illustrate the difference between urban and
‘rural’ locations. The Annex location does see some influence from the traffic periods, but not as
dramatically as OSD. The overall concentration at OSD is approximately two times the Annex.
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Site Comparisons
Annex PM10 annex PM2.5 OSD PM10
Ambient Air Assessment at 138
MROSD Park Rancho San Antonio October 2014
Figure 99. Black Carbon Diurnal Pattern
Black carbon displays a different pattern in Figure 99 than PM10 which reflects the common
behavior of the ultrafine particulate, which decays in particle count in approximately 100 yards
from the origin on the roadway due to coagulation and recombination with other aerosols.
However, the combined particulate does not disappear, becoming mixed with other particles and
showing up as part of PM2.5. In addition, local meteorology affects the transport, as suggested
by Figure 100, showing some times of the year in which a small morning peak appears.
This plot contains significant information about the impact of various sources to the site. First,
the small peaks in the morning and afternoon commute times suggest a minor effect from those
sources. A visual estimate from the plot suggests that the effect is approximately 2 µg/m3 for
P10 in the morning and 3 µg/m3 in the evening. This is mirrored in the PM2.5 effect, with
approximately 3 µg/m3 in the morning, and 5 µg/m3 in the evening. This is likely due to
meteorology as it is likely that an equal number of commute vehicles are in transit both in the
morning and afternoon. The relative amounts of the two parameters suggests a vehicular source
since the PM2.5 increase is a larger fraction of its baseline amount compared to PM10.
Furthermore, PM2.5 is a higher fraction of total emissions from vehicles because of their nature
as a combustion source.
This all points to the effect of the highway at approximately 15% of the total pollutant load
during commute periods, though on average, these factors are of minor significance. The black
carbon pattern on average does not show any effect from the highway, although shorter time
periods did show some influence during different months of the year, as shown in Figure 100.
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Ambient Air Assessment at 139
MROSD Park Rancho San Antonio October 2014
Figure 100. Monthly Annex Black Carbon Diurnal
Small peak on the left shoulder during the morning commute hours is a signature of vehicular
emissions It appears to be detectable only part of the year, which suggests it is based on seasonal
meteorological conditions.
11.2.3. Residence-Annex Comparison—PM10
A short test was conducted to evaluate the residence on Mora Drive with the Annex for
equivalence as a monitoring location. Two PM10 EBAMs were set up next to each other at the
residence and run for several weeks. Then, one of the two instruments was moved down to the
Annex, which is approximately 400 feet horizontally and 100 feet vertically from the residence.
The results of the first comparison showed that the average concentrations were in good
agreement, with the subsequent tests at the Annex with the Residence equally good.
Residence1: 15.69 µg/m3
Residence2: 15.01 µg/m3
Annex: 15.49 µg/m3
Residence: 15.75 µg/m3
Ambient Air Assessment at 140
MROSD Park Rancho San Antonio October 2014
11.2.4. Gradient--Mercury
The mercury data show a clear gradient between PGE and Annex. Table 20 shows a subset of
the mercury results, showing that in early all cases, PGE is higher than Annex. BLN is much
lower, indicating a background level at 0.35 ng/m3.. The average of PGE at 2.9 ng/m3 is
approximately three times the average at Annex, at 1.0 ng/m3. There were no simultaneous
measurements done at OSD, however, the values seen there were in the background range, 0.25
ng/m3.
Table 20. Mercury Gradient
Sample Date Ann
(ng/m3)
PGE
(ng.m3)
BLN
(ng/m3)
7/31/2013 0.753 8.299
8/28/2013 0.575 4.340
10/28/2013 1.047 3.618
11/16/2013 0.678 2.819
12/15/2013 0.286 1.208
2/21/2014 1.078 0.333
2/22/2014 1.517 0.297
2/23/2014 1.011 0.347 0.450
3/8/2014 1.003 0.347 0.303
4/19/2014 1.578 2.444
5/3/2014 1.367 2.146
5/24/2014 1.561 3.708
Avg. 1.0 2.9 0.35
11.2.5. Hexavalent Chromium
Table 21 shows the set of gradient sample pairs, and Table 22 shows the comparison. In one
case—Annex and BLN—are identical. The wind data shows that the average for that day is
consistent with normal patterns, with an average direction of ~245 degrees. This suggests that
the clean ocean air affected both sites equally, with no other air mass influence. All the other
days were sampled under similar typical wind patterns. At a minimum, it suggests the complex
air movement around the Lehigh site allows some of the emissions to influence not only PGE,
which is close, but also the Annex site. Other test data is suggestive of this as well.
Ambient Air Assessment at 141
MROSD Park Rancho San Antonio October 2014
Table 21. Mercury Gradient Sample Pairings
(Units are ng/m3)
Table 22. Mercury Gradients by Site
(Units are ng/m3)
Ambient Air Assessment at 142
MROSD Park Rancho San Antonio October 2014
11.2.6. Wind Direction Trends
Figure 101 shows how the PM10 and BC concentrations stay relatively constant throughout the
year, even as wind directions change over time. This suggests that the environment at RSA is
somewhat insulated from much of what occurs outside of the area by the presence of the
dominant oceanic air masses, and that relatively little of that outside influence penetrates into the
preserve, thus providing a clean, isolated environment for workers and visitors.
Figure 101. Wind Direction Dependence of PM10
0
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Wind Direction Monthly Averages
WD-Cupertino WD-Los Altos WD-Annex Annex BC Annex PM10
Ambient Air Assessment at 143
MROSD Park Rancho San Antonio October 2014
Figure 102 shows how there is a slight directional dependence for black carbon, with higher
concentrations trending towards northerly directions. This makes sense in terms of transport
from I-280 and other urban areas to the north. However, PM10 does not vary much—a range of
only 4 µg/m3—over directions from the south to the north. This suggests general background as
the major influence. However, as the diurnal patterns presented elsewhere show, there are slight
effects from the morning and afternoon commute times, confirming a minor effect from the
highway.
Figure 102. Wind Direction Dependence of BC and PM10
0
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Annex BC Annex PM10
Ambient Air Assessment at 144
MROSD Park Rancho San Antonio October 2014
11.2.7. BAAQMD Data
Table 23 shows the comparison between the Monta Vista and RSA data sets.
Table 23. BAAQMD and RSA Data
Table 2. Comparison of Cupertino and San Jose
Maximum 24-hour Average and Annual Average
Toxic Air Contaminant Ambient Air Monitoring Data 2011-
2013
Rancho San Antonio
Ambient Air--2013-2014
Compound
Annual Average Concentration,
µg/m3 µg/m3 µg/m3
Cupertino San Jose RSA-Annex RSA-PGE
Acetaldehyde 1.1 1.7 NA NA
Acrolein 0.79 0.96 NA NA
Acrylonitrile 0.017 0.056 NA NA
Arsenic 0.00012 <MDL 0.0002 0.00039
Benzene 0.46 1 0.93 1.22
1,3 Butadiene 0.05 0.13 <MDL <MDL
Carbon Tetrachloride 0.62 0.64 <MDL <MDL
Chloroform 0.14 0.17 <MDL <MDL
Chromium (Total) 0.0022 0.0038 0.0016 0.0050
Copper 0.0083 0.012 0.0044 0.0070
Elemental Carbon 0.52 0.64 0.335* 0.336*
Diesel PM 0.54 0.66 0.352** 0.349**
Ethylbenzene 0.16 0.53 <MDL 0.15
Ethylene Dibromide <MDL <MDL NA NA
Ethylene Dichloride 0.11 0.11 <MDL <MDL
Formaldehyde 1.8 2.3 NA NA
Lead 0.0023 0.0031 0.001 0.001
Manganese 0.0086 0.0094 0.00523 0.0075
Mercury 0.0022 N/A 0.001 0.00029
Methyl Chloroform 0.053 0.062 <MDL <MDL
Methylene Chloride 0.49 1.1 1.30 1.98
Methyl Ethyl Ketone 0.68 0.8 <MDL <MDL
Nickel 0.0014 <MDL 0.0006 0.00073
Perchloroethylene 0.056 0.25 <MDL <MDL
Selenium 0.0008 0.0011 0.00084 0.00193
Toluene 0.85 2.9 2.04 10.46
Trichloroethylene 0.035 0.04 <MDL <MDL
Vanadium 0.0023 <MDL 0.00063 0.00176
Vinyl chloride <MDL <MDL <MDL <MDL
m&p- Xylene 0.49 1.9 <MDL <MDL
o-Xylene 0.22 0.72 <MDL <MDL
Hexavalent chromium NA NA 0.011 ng/m3 0.400 ng/m3
*Black carbon. **SCAQMD factor of 1.04
Ambient Air Assessment at 145
MROSD Park Rancho San Antonio October 2014
12.0 HEALTH-BASED RISK LEVEL COMPARISONS
12.1. External Review
The culmination of the study is to address the original driver: Concern about exposure and
health impacts from potential nearby emission sources. Below is the memo from Mr. Kurt
Fehling, a consulting health scientist, who reviewed the data in relation to accepted risk
management practices.
Ambient Air Assessment at 146
MROSD Park Rancho San Antonio October 2014
The Fehling Group, LLC
Table 2
Memo
To: Eric Winegar, Ph.D./Winegar Air Sciences
From: Kurt Fehling and Elizabeth Liebig/The Fehling Group
Date: July 31, 2014
Re: Screening Level Assessment for Ambient Air Concentrations, Rancho San
Antonio, Cupertino, California
Based upon our understanding of the air data collected, air samples were collected in two
areas of the site with two off-site--one area upwind, and another further away in town. The
data for the sites were averaged by area and arranged by type of constituent, shown in the
below tables.
The areas that were evaluated include:
Annex – main site in the park located near the bottom of the valley and close to the office;
PGE – major trail at the top of the ridge which is the closest location to the cement plant
and near the point of maximum impact from the HRA;
OSD – administration offices in Mountain View which is in the middle of an urban area
and near a major road (El Camino Real); and
BLN – residential area in Los Altos, which is upwind of the site and will be used for
background comparisons. Some of these samples may have been impacted by lawn
mowing activities so we understand that the data provided to us were “corrected” to
account for a key invalidated sample.
Average air concentrations from the four areas listed above were compared to residential
and industrial USEPA Region 9 Ambient Air Regional Screening Levels (RSLs) and
California Office of Health Hazard Assessment Relative Screening Levels (REL) to
identify constituents that exceed these screening criteria and may warrant additional
evaluation. The RSL table for 0.1 target hazard index was used to account for possible
chemical additivity. This screening is shown in Tables 1 (21) and 2 (22) and is summarized
below.
Findings:
Few of the detected VOC species had REL values available.
Four target chemicals had REL values: benzene, bromomethane, dichloromethane,
and toluene. None of the concentrations detected exceeded the REL value. With
the exception of benzene, the detected levels were significantly lower than the REL
values: The largest ratio was approximately 200, and the smallest was
approximately 5.
Ambient Air Assessment at 147
MROSD Park Rancho San Antonio October 2014
A comparison of the criteria pollutants and other aerosol or inorganic species
showed that none of the elements exceeded the REL or RSL levels.
Several state of federal standards were exceeded: PM2.5 at Annex ,and PM10
(multiple times) at PGE.
Background Comparison
When the data are visually compared to the upwind background data from BLN, it is
apparent that the upwind sources may be a contributor to site levels. In fact for those
chemicals that exceed the RSL (residential or industrial) the average background
concentrations are similar to site levels with the exception of Bromomethane.
Conclusions
Based upon a comparison of average concentrations, it would appear that most
concentrations of site-related airborne chemicals are consistent with regional background
concentrations.
From this ensemble of comparisons, it is concluded that the large majority of the target
parameters do not exceed REL.
Ambient Air Assessment at 148
MROSD Park Rancho San Antonio October 2014
12.3. Risk Comparison Tables
Tables 24 and 25 contain the final average concentrations compared to current risk evaluation
levels, as discussed in the review memo. These tables also contain comparison to California and
Federal Air Quality Standards.
Ambient Air Assessment at 149
MROSD Park Rancho San Antonio October 2014
Table 24. Table 1: Comparison of Results with Health-based Risk Levels
Target
VOC
OEHHA REL
ug/m3 Annex PGE OSD BLN
*--- =
(µg/m3) Exceeds
REL? (µg/m3) Exceeds
REL? (µg/m3) Exceeds
REL? (µg/m3) Exceeds
REL? No Standard
1,1,1-Trichloroethane 1000 --- --- --- --- --- --- --- ---
1,1,2,2-Tetrachloroethane --- --- --- --- --- --- --- --- ---
1,1,2-Trichloroethane --- --- --- --- --- --- --- --- ---
1,1-Dichloroethane 70 --- --- --- --- --- --- --- ---
1,1-Dichloroethene --- --- --- --- --- --- --- --- ---
1,1-Dichloropropene --- --- --- --- --- --- --- --- ---
1,1-Difluoroethane --- --- --- --- --- --- --- --- ---
1,2,3-Trichloropropane --- --- --- --- --- --- --- --- ---
1,2,4-Trimethylbenzene --- --- --- --- --- --- --- --- ---
1,2-Dibromoethane 0.8 --- --- --- --- --- --- --- ---
1,2-Dichlorobenzene --- --- --- --- --- --- --- --- ---
1,2-Dichloroethane 400 --- --- --- --- --- --- --- ---
1,2-Dichloropropane --- --- --- --- --- --- --- --- ---
1,3,5-Trimethylbenzene --- --- --- --- --- --- --- --- ---
1,3-Butadiene 2 --- --- --- --- --- --- --- ---
1,3-Dichlorobenzene --- --- --- --- --- --- --- --- ---
1,3-Dichloropropane --- --- --- --- --- --- --- ---
1,4 Dioxane 3000 --- --- --- --- --- --- --- ---
1,4-Dichlorobenzene 800 --- --- --- --- --- --- --- ---
2,2,4-Trimethylpentane --- 1.22 NA 2.19 NA --- --- 0.92 NA
2,2-Dichloropropane --- --- --- --- --- --- --- --- ---
2-Butanone --- 3.21 NA 7.16 NA --- --- --- ---
2-Hexanone --- --- --- --- --- --- --- --- ---
2-propanol --- --- --- --- --- --- --- --- ---
4-Ethyltoluene --- 0.76 NA 1.18 NA --- --- --- ---
4-Methyl-2-pentanone --- --- --- --- --- --- --- --- ---
Acetone --- 11.19 NA 8.99 NA 11.99 NA 10.87 NA
Acrylonitrile 5 --- --- --- --- --- --- --- ---
Benzene 3 0.93 No 1.22 No 0.06 No 0.96 No
Benzyl chloride --- --- --- --- --- --- --- --- ---
Bromochloromethane --- --- --- --- --- --- --- --- ---
Bromodichloromethane --- --- --- --- --- --- --- --- ---
Bromoform --- --- --- --- --- --- --- --- ---
Bromomethane 5 0.62 No 1.05 No --- --- ---
Carbon disulfide 800 --- --- --- --- --- --- --- ---
Carbon tetrachloride 40 --- --- --- --- ---
Ambient Air Assessment at 150
MROSD Park Rancho San Antonio October 2014
Target
VOC
OEHHA REL
ug/m3 Annex PGE OSD BLN
*--- =
(µg/m3) Exceeds
REL? (µg/m3) Exceeds
REL? (µg/m3) Exceeds
REL? (µg/m3) Exceeds
REL? No Standard
Chlorobenzene 1000 --- --- --- --- --- --- --- ---
Chloroethane 30000 --- --- --- --- --- --- --- ---
Chloroform 300 --- --- --- --- --- --- --- ---
Chloromethane --- --- --- --- --- --- --- --- ---
cis-1,2-Dichloroethene --- --- --- --- --- --- --- --- ---
cis-1,3-Dichloropropene --- --- --- --- --- --- --- --- ---
Cyclohexane --- --- --- --- --- --- --- --- ---
Dibromochloromethane --- --- --- --- --- --- --- --- ---
Dichlorodifluoromethane --- --- --- --- --- --- --- --- ---
Dichloromethane 400 1.30 No 1.98 No 1.24 No --- ---
Ethylbenzene --- --- --- 0.15 NA --- --- --- ---
Freon 113 --- --- --- --- --- --- --- --- ---
Freon 114 --- --- --- --- --- --- --- --- ---
Hexane --- --- --- --- --- --- --- --- ---
Isopropylbenzene --- --- --- --- --- --- --- --- ---
m,p-Xylenes --- --- --- --- --- --- --- --- ---
Methyl tert butyl ether 8000 --- --- --- --- --- --- --- ---
Naphthalene 9 --- --- --- --- --- --- --- ---
n-Heptane --- --- --- --- --- --- --- --- ---
n-Propylbenzene --- --- --- --- --- --- --- --- ---
o-Xylene 700 --- --- --- --- --- --- --- ---
Styrene 900 --- --- --- --- --- --- --- ---
Tetrachloroethene 35 --- --- --- --- --- --- --- ---
Tetrahydrofuran --- --- --- --- --- --- --- --- ---
Toluene 300 2.04 No 10.46 No --- --- 0.76 No
trans-1,2-Dichloroethene --- --- --- --- --- --- --- --- ---
trans-1,3-Dichloropropene --- --- --- --- --- --- --- --- ---
Trichloroethene 600 --- --- --- --- --- --- --- ---
Trichlorofluoromethane --- 1.38 NA 1.36 NA 1.29 NA 1.35 NA
Vinyl acetate 200 --- --- --- --- --- --- --- ---
Vinyl chloride¶ (10 ppbv) --- --- --- --- --- --- --- --- ---
Vinyl chloride¶ California Criteria Pollutant: Std = 10 ppbv **--- = Non-detect
*--- = No Standard
Ambient Air Assessment at 151
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Table 25. Table 2:. Comparison of RSA Data for Risk Levels for Aerosols and Criteria Pollutants
Ambient Air Assessment at 152
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Table 2 (25) continued.
Ambient Air Assessment at 153
MROSD Park Rancho San Antonio October 2014
Table 2 (25). Continued.
154
13.0 CONCLUSIONS
Due to concerns about exposure to workers and the visitor community, an 18 month air quality
test program was conducted at Rancho San Antonio, a preserve managed by the Mid-peninsula
Regional Open Space District. For this program, several locations were selected: Two primary
sites within the preserve, one in an urban area, and one in an background/residential area. The
two outside sites were operated for periods of up to two months. In addition, two other short-
term test sites on the property were used for quality assurance purposes.
An extensive list of pollutant substances was developed based on the type of sources in the area,
including input from the Lehigh health risk assessment that included their highest risk drivers.
This list consisted of a number of particulate substances, some inorganic gases and volatile
organic compounds. A range of instrumentation and samplers was used to collect data from
January 1, 2013 to June 22, 2014. Several key instruments provided semi-continuous output, thus
allowing for clarifying the dynamics of the measured concentrations. A number of laboratories
provided analytical service for time-integrated samples.
The data was collected and compiled, and reviewed and consolidated. The result are two main
summary tables—Tables 24 and 25—in which the averages were compiled and compared to a
number of air quality standards and risk assessment levels. In addition, several related tables were
presented in the Executive Summary that contain similar information. These comparisons
showed that the concentrations of the target substances largely are below recognized health
standards and air quality standards. Only a few substances exceeded those levels, and then only
by small margins, with the exception of PGE PM10, which exceeded the California standard ten
times.
The remainder of the data assessment was to examine the potential sources in the area to
determine the extent of their impact, most notably the Lehigh cement plant. The examination
showed on many levels that the impact from both the urban areas and the Lehigh plant are minor,
primarily due to a favorable meteorological pattern, assisted by a protective topography.
The net result was the conclusion that the air quality at Rancho San Antonio is excellent, with
low levels of any substances of concern.
155
Appendices
156
Appendix A. California Ambient Air Quality Standards
US EPA and California Ambient Air Quality Standards
(Primary standards refer to the protection of human health; secondary standards refer to other effects, such as on
visibility, buildings, crops and animals.)
157
Appendix B. BAAQMD Cupertino report.
It contains a useful summary and explanation of the risk assessment process and specifics relating
to risk levels in the area around the Lehigh plant.
158
Bay Area Air Quality Management District
Summary and Analysis of Cupertino Air Monitoring Results
Updated July 14, 2014
The Air District’s Cupertino Air Monitoring Station began operating on September 1, 2010.
The monitoring station was located at Monta Vista Park, approximately one mile east of the
Lehigh Cement Plant (see Figure 1) and was closed on December 31, 2013. After collecting
three calendar years of data from 2011 through 2013, Air District staff reviewed the data and
developed the following summary and analysis of the results.
CRITERIA POLLUTANTS
Criteria pollutants are air contaminants for which the U.S. Environmental Protection Agency
(EPA) and/or the California Air Resources Board (CARB) have adopted health-based ambient air
quality standards. Ambient air quality standards adopted by EPA are National Ambient Air
Quality Standards (NAAQS), and standards adopted by CARB are State Ambient Air Quality
Standards. Criteria pollutants include PM10, PM2.5, ozone, carbon monoxide (CO), sulfur dioxide
(SO2), nitrogen dioxide (NO2) and lead. Ozone, CO, SO2, and NO2 are gases. PM10 is
particulate matter with a diameter less than or equal to 10 microns, and PM2.5 is particulate matter
with a diameter less than or equal to 2.5 microns. Lead is a component of particulate matter.
Table 1 summarizes Cupertino monitoring results for all criteria pollutants, provides a
comparison to applicable National and State ambient air quality standards, and specifies locations
with similar air quality.
GASES: Based on three years (2011-2013) of monitoring data, Cupertino air quality easily met
all applicable State and National Ambient Air Quality Standards for the gaseous criteria
pollutants CO, SO2, and NO2. In general, Cupertino’s levels of these criteria pollutants were in
the middle of the distribution of Bay Area air monitoring sites, with some locations measuring
levels higher and some locations measuring lower than Cupertino. NO2 levels were similar to
levels at other suburban locations, including Concord and Santa Rosa. SO2 concentrations were
somewhat higher, with measurements similar to West Oakland and Martinez, but still less than a
fifth of the SO2 NAAQS. CO measurements were among the lowest in the Bay Area, with only
Bethel Island and Concord being lower. For ozone, levels at Cupertino were below the national
standard and most similar to Los Gatos.
PARTICULATE MATTER: Ambient air quality standards have been established for PM2.5 and
PM10. For both PM2.5 and PM10, there is a 24-hour standard based on daily concentrations, and
an annual standard based on the average of all 24-hour concentrations over a one-year period.
Cupertino PM levels have not exceeded the 24-hour PM2.5 NAAQS nor the 24-hour PM10
159
NAAQS. Its peak 24-hour levels were similar to those at Concord and San Rafael. Cupertino’s
annual average PM2.5 levels were also below the NAAQS and the more stringent annual average
State standards, with levels similar to Santa Rosa and Gilroy.
LEAD: Cupertino lead levels were less than 1% of the State standard, less than 10% of the
recently revised national standard, and less than levels in San Francisco.
Table 1. Criteria Pollutants Measured at the Cupertino Monitoring Site Compared to State
and National Ambient Air Quality Standards (2011-2013)
Pollutant Averaging
Time
State
Standard
National
Standard
Design
Value 1
Maximum
Concentrations
Location(s) with
Similar Air
Quality
Ozone 1 Hour 0.09 ppm N/A N/A 0.09 ppm Los Gatos 8 Hour 0.070 ppm 0.075 ppm 0.062 ppm 0.077 ppm
PM10
24 Hour 50 Pg/m3 150 Pg/m3
Zero days
over
standard
42 Pg/m3 Concord,
San Rafael Annual
Average 20 Pg/m3 N/A N/A 14.6 Pg/m3
PM2.5
24 Hour N/A 35 Pg/m3 21 Pg/m3 39Pg/m3 Santa Rosa,
Gilroy
Annual
Average 12 Pg/m3 12.0 Pg/m3 8.9 Pg/m3 10.7 Pg/m3 Santa Rosa,
Gilroy
CO
8 Hour 9.0 ppm 9 ppm
Zero days
over
standard
1.3 ppm
Concord,
San Pablo
1 Hour 20 ppm 35 ppm
Zero days
over
standard
3.1 ppm
NO2
Annual
Average 0.030 ppm 0.053 ppm 0.009 ppm 0.009 ppm Concord,
Santa Rosa 1 Hour 0.18 ppm 0.100 ppm 0.038 ppm 0.045 ppm
SO2
Annual
Average N/A N/A N/A 0.001 ppm Oakland West,
Martinez 24 Hour 0.04 ppm N/A N/A 0.007 ppm
1 Hour 0.25 ppm 0.075 ppm 0.013 ppm 0.035 ppm
Lead
30 Day
Average 1.5 Pg/m3 N/A N/A 0.006 Pg/m3
San Francisco 3 Month
Rolling
Average N/A
0.15 Pg/m3
(Recently
Revised)
0.005 Pg/m3 0.005 Pg/m3
Table 3
Table 1 Notes:
1. Design Values are used for comparison with the National Ambient Air Quality Standard (NAAQS).
2. For PM10 and CO, the Design Value is defined as the number of days in a calendar year that the location would be expected to exceed the
160
NAAQS.
3. For PM2.5, NO2, SO2 and Lead, Design Values below the NAAQS indicate that national air quality standards are being met.
TOXIC AIR CONTAMINANTS
Table 2 summarizes toxic air contaminant monitoring results for Cupertino. Sample durations
were 24-hours for either a 6-day or 12-day interval schedule. Table 2 contains the maximum
concentrations for the 24-hour samples and the results for all samples averaged over a 3-year
period.
The Air District estimated health risks using the ambient monitoring data and health effect values
[cancer potency factors and non-cancer Reference Exposure Levels (RELs)] established by
Cal/EPA’s Office of Environmental Health Hazard Assessment (OEHHA). Four
health risk summary tables are provided as follows: cancer risk, chronic non-cancer risk, 8-
hour chronic non-cancer risk, and acute non-cancer risk. Note that each health risk summary
table lists only the measured toxic air contaminant compounds for which a corresponding cancer
or non-cancer health effect value has been adopted by OEHHA. Health risks were based on the
following exposure pathways, where applicable, under OEHHA health risk assessment
guidelines: inhalation, dermal absorption, soil ingestion, mother’s milk ingestion, and
homegrown produce ingestion. Non-inhalation pathway exposures were estimated based on
measured pollutant concentrations and conservative default exposure assumptions established in
OEHHA guidelines.
Table 3 lists the estimated cancer risk associated with lifetime exposure to the measured levels of
toxic air contaminants at the Cupertino and San Jose air monitoring sites (the latter is included
for comparison purposes because of similar pollutant coverage). The estimated cancer risk
includes an Age Sensitivity Factor to account for inherent increased susceptibility to carcinogens
during infancy and childhood. The total cancer risk is based on the sum of the cancer risks
determined for each individual compound. The compounds that contribute most significantly to
cancer risk in Cupertino are diesel PM (70%), carbon tetrachloride (11%), benzene (5%),
1,3butadiene (4%), formaldehyde (4%), and acrylonitrile (2%). These are also the compounds
that contribute most to cancer risk for the San Jose air monitoring site. These pollutants are
emitted primarily from mobile sources, with the exception of carbon tetrachloride and
acrylonitrile. There are no known local sources of carbon tetrachloride due to the phase-out of
this compound as a stratospheric ozone-depleting compound. Measured levels of carbon
tetrachloride in Cupertino are consistent with global background levels observed at other
monitoring sites. Known sources of acrylonitrile include certain chemical plants and landfills. A
comparison of cancer risk at the Cupertino and San Jose monitoring sites is illustrated in Figure
2.
Table 4 indicates the estimated chronic non-cancer risk represented by hazard quotient and
hazard index. A hazard quotient is the ratio of the observed concentration of a particular
compound to the compound’s REL. RELs are concentrations at or below which no
adverse noncancer health effects are anticipated to occur in the general human population,
161
including sensitive individuals. The hazard index is taken as the sum of the hazard quotients for
each compound that affects the same target organ system (e.g., respiratory system, nervous
system, etc.). A hazard index at or below one indicates that no adverse effects would be
anticipated to occur. The chronic hazard index is calculated using the annual average
concentration. For the Cupertino air monitoring site the chronic hazard index is 3.0, and for the
San Jose monitoring site the chronic hazard index is 3.2. The compound that contributes most to
chronic hazard index at both sites is acrolein (77% at Cupertino, 88% at San Jose). Acrolein is
emitted mostly from mobile sources, and the chronic REL for acrolein incorporates a cumulative
uncertainty (“safety”) factor of 200. Other compounds with significant contributions to
chronic hazard index at the Cupertino site are mercury (17%) and arsenic (10%). At the San Jose
monitoring site, the arsenic level of detection was not nearly as sensitive as the Cupertino site,
and mercury was not measured at all; for these reasons the San Jose monitoring site is not a good
comparator to the Cupertino site for arsenic and mercury (this is also true for other Bay Area
monitoring sites). However, based on a literature review, the arsenic and mercury concentrations
measured at the Cupertino site appear to be within or lower than the range found for rural areas.
The annual average concentration of arsenic measured at the Cupertino air monitoring site is
0.0001 µg/m3. The range of arsenic air concentrations in remote areas is 0.001 to 0.003 µg/m3
(ToxGuide for
Arsenic As CAS# 7440-38-2, U.S. Department of Health and Human Services Public Health
Service Agency for Toxic Substances and Disease Registry, October 2007,
http://www.astsdr.cdc.gov/toxguides/toxguide-2.pdf). The annual average concentration of
mercury measured at the Cupertino air monitoring site is 0.002 µg/m3. The range of mercury
concentrations in rural areas is 0.001 to 0.004 µg/m3 (Mercury Study Report to Congress,
Volume III: Fate and Transport of Mercury in the Environment, EPA-452/R-97-003 December
1997, Table 3-1 Summary of Measured Mercury Concentration in Air
http://www.epa.gov/mercury/report.htm).
Table 5 lists the estimated 8-hour chronic non-cancer risk. The 8-hour hazard indices are based
on concentrations for the normal 8-hour exposure period for workers, and for children at schools
and daycare facilities, that are repeated over an annual period. Note that 8-hour monitoring data
are not available, but these concentrations were conservatively estimated by assuming that the
entire 24-hour sample was collected over a single 8-hour period (i.e., 8-hour concentrations were
assumed to be three times the measured 24-hour concentration). The 8-hour chronic hazard
index is 4.1 for the Cupertino monitoring site, and 4.9 for the San Jose monitoring site. Acrolein
is the highest contributor to the 8-hour chronic hazard index at both sites (about 83%).
Table 6 lists the estimated acute non-cancer risk. The acute hazard indices are based on
maximum concentrations for a 1-hour period. Note that 1-hour monitoring data are not available,
but these concentrations were conservatively assumed to be 7.5 times the maximum 24-hour
concentration (see table footnote for derivation of this adjustment factor). The acute hazard
index is less than one for the Cupertino and San Jose air monitoring sites.
162
Table 2. Comparison of Cupertino and San Jose
Maximum 24-hour Average and Annual Average
Toxic Air Contaminant Ambient Air Monitoring Data 2011-2013
Compound
% of Samples above
MDL1
Maximum 24-hour Average
Concentration1, µg/m3
Annual Average
Concentration,1 µg/m3
Cupertino San Jose Cupertino San Jose Cupertino San Jose
Acetaldehyde 100% 100% 4.7 4.8 1.1 1.7
Acrolein2 87 100% 0.044 0.042 0.79 0.96
Acrylonitrile 17% 21% 0.088 0.34 0.017 0.056
Arsenic 28% 0% 0.0011 <MDL 0.00012 <MDL
Benzene 99% 99% 1.2 4.2 0.46 1.0
1,3 Butadiene 43% 57% 0.25 0.95 0.050 0.13
Carbon Tetrachloride 100% 100% 1.4 1.3 0.62 0.64
Chloroform 89% 96% 0.53 0.95 0.14 0.17
Chromium (Total) 95% 72% 0.011 0.0073 0.0022 0.0038
Copper 100% 100% 0.023 0.040 0.0083 0.012
Elemental Carbon3 100% 100% 1.6 3.2 0.52 0.64
Diesel PM3 100% 100% 1.7 3.4 0.54 0.66
Ethylbenzene 68% 85% 0.69 2.3 0.16 0.53
Ethylene Dibromide 0% 0% <MDL <MDL <MDL <MDL
Ethylene Dichloride 26% 25% 0.54 0.53 0.11 0.11
Formaldehyde 100% 100% 4.3 4.8 1.8 2.3
Lead 91% 74% 0.022 0.013 0.0023 0.0031
Manganese 100% 98% 0.047 0.027 0.0086 0.0094
Mercury4 100% N/A 0.0052 N/A 0.0022 N/A
Methyl Chloroform 31% 41% 0.17 0.22 0.053 0.062
Methylene Chloride 74% 97% 1.1 4.9 0.49 1.1
Methyl Ethyl Ketone 90% 97% 2.3 3.5 0.68 0.80
Nickel 84% 0% 0.0067 <MDL 0.0014 <MDL
Perchloroethylene 91% 99% 0.46 1.3 0.056 0.25
Selenium 75% 17% 0.0046 0.0045 0.00080 0.0011
Toluene 100% 100% 6.0 16 0.85 2.9
Trichloroethylene 14% 21% 0.20 0.17 0.035 0.040
Vanadium 91% 7% 0.011 0.0031 0.0023 <MDL
Vinyl chloride 1% 1% <MDL <MDL <MDL <MDL
M&P Xylene 97% 100% 2.1 9.1 0.49 1.9
O Xylene 81% 96% 0.70 3.0 0.22 0.72
Table 4
Table 2 Notes:
1. MDL is the Method Detection Limit for the compound. <MDL indicates less than Method Detection Limit. When a sample is identified as
<MDL, 1/2 the MDL is used to calculate the annual average concentration. When all samples except one were <MDL, the value listed for
the maximum 24-hour average concentration is “<MDL.” When only 10% or less of the sample values are above the MDL, the
value listed for annual average concentration is “<MDL.” Note that each compound MDL’s are not the same for both monitoring sites.
For example, the San Jose arsenic MDL was 0.0015 µg/m3 compared with 0.0001 to 0.0002 µg/m3 for Cupertino. Thus, having more
arsenic values < MDL at San Jose does not necessarily mean that the concentrations are lower at the San Jose site than at the Cupertino site.
163
2. The concentrations presented here for Acrolein are for 2013. Although ambient air monitoring samples were collected and anal yzed for
Acrolein during the 2011-2012 period, the results did not meet quality assurance/quality control (QA/QC) standards. Due to the chemical
properties of Acrolein, sample collection and analysis of this compound can have large associated errors and better sample collection
analytical methods are currently being investigated. In 2013, more a more stable standard was utilized, allowing for better a nalytic accuracy
that met QA/QC requirements.
3. San Jose elemental carbon (EC) is not strictly comparable to Cupertino EC: the former measurement is derived from a PM2.5 filter, the latter
from a PM10 filter, i.e., containing a larger size cut. Therefore, the San Jose EC and estimated diesel PM shown may be underestimated.
Diesel PM is estimated from elemental carbon data using the MATES II factor of 1.04.
4. N/A is not available. Mercury was not one of the compounds tested at the San Jose monitoring site.
Table 3. Cancer Risk Based on Ambient Air Monitoring Data
for Cupertino and San Jose
Compound
Unit Risk
Values1,
(µg/m3)-1
Cancer Risk2 (in a million)
Cupertino San Jose
Acetaldehyde 2.9E-06 5.5 8.3
Acrylonitrile 2.9E-04 8.6 27.7
Arsenic 1.7E-02 3.5 <MDL
Benzene 2.9E-05 22.5 49.2
1,3 Butadiene 1.7E-04 14.8 38.0
Carbon Tetrachloride 4.3E-05 45.9 47.5
Chloroform 5.5E-06 1.3 1.6
Diesel PM 3.2E-04 293.0 358.0
Ethylbenzene 2.5E-06 0.7 2.3
Ethylene Dibromide 7.2E-05 <MDL <MDL
Ethylene Dichloride 2.1E-05 3.8 3.7
Formaldehyde 6.1E-06 18.2 23.9
Lead 5.1E-05 0.2 0.3
Methylene Chloride 1.0E-06 0.9 1.9
Nickel 2.6E-04 0.6 <MDL
Perchloroethylene 6.1E-06 0.6 2.6
Trichloroethylene 2.0E-06 0.1 0.1
Vinyl chloride 7.8E-05 <MDL <MDL
Total Cancer Risk: 420 565
Table 5
Table 3 Notes:
1. All compounds were evaluated for the inhalation pathway. For Arsenic and Lead, which have multipathway impacts, the Unit Risk Values
(URVs) represent the combined inhalation and noninhalation pathways (dermal, soil ingestion, mother's milk, homegrown produce
ingestion); these URVs were derived using HARP and default exposure values.
2. Cancer risk is based on a residential exposure duration of 24 hours per day, 350 days per year over a 70 -year lifetime and includes a cancer
risk adjustment factor of 1.7 to account for the inherent greater susceptibility to carcinogens during infancy and childhood.
3. Cancer risks are not calculated for compounds where all samples are <MDL. Note that each compound MDL is not the same for both
monitoring sites. For example, the San Jose arsenic MDL was 0.0015 µg/m3 compared with 0.0001 to 0.0002 µg/m3 for Cupertino. Thus,
the arsenic < MDL at San Jose does not necessarily mean that the cancer risk due to arsenic concentrations are lower at the San Jose site
than at the Cupertino site.
164
Table 4. Chronic Non-cancer Risk Based on Ambient Air Monitoring Data
for Cupertino and San Jose
Compound Chronic
REL, µg/m3
Chronic Hazard Quotient Target Organ System Cupertino San Jose
Acetaldehyde 140 0.0 0.0 Respiratory
Acrolein 0.35 2.3 2.8 Respiratory
Acrylonitrile 5 0.0 0.0 Respiratory
Arsenic 0.00037 0.3 <MDL
Cardiovascular,
Reproductive/Developmental,
Nervous, Respiratory, Skin
Benzene 60 0.0 0.0 Reproductive/Developmental,
Hematologic, Nervous
1,3 Butadiene 2 0.0 0.1 Reproductive/Developmental
Carbon Tetrachloride 40 0.0 0.0
Alimentary,
Reproductive/Developmental,
Nervous
Chloroform 300 0.0 0.0 Alimentary,
Reproductive/Developmental, Kidney
Diesel PM 5 0.1 0.1 Respiratory
Ethylbenzene 2000 0.0 0.0
Alimentary,
Reproductive/Developmental,
Endocrine, Kidney
Ethylene Dibromide 0.8 <MDL <MDL Reproductive/Developmental
Ethylene Dichloride 400 0.0 0.0 Alimentary
Formaldehyde 9 0.2 0.3 Respiratory
Manganese 0.09 0.1 0.1 Nervous
Mercury 0.0045 0.5 N/A Reproductive/Developmental, Kidney,
Nervous
Methyl Chloroform 1000 0.0 0.0 Nervous
Methylene Chloride 400 0.0 0.0 Cardiovascular, Nervous
Nickel 0.014 0.1 <MDL Reproductive/Developmental,
Hematologic, Respiratory
Perchloroethylene 35 0.0 0.0 Alimentary, Kidney
Selenium 20 0.0 0.0 Alimentary, Cardiovascular, Nervous
Toluene 300 0.0 0.0 Reproductive/Developmental,
Nervous, Respiratory
Trichloroethylene 600 0.0 0.0 Eye, Nervous
M&P Xylene 700 0.0 0.0 Eye, Nervous, Respiratory
O Xylene 700 0.0 0.0 Eye, Nervous, Respiratory
Chronic Hazard Index: 3.0 3.2 Respiratory
165
Table 6
Table 4 Notes:
1. A chronic inhalation hazard quotient (HQ) is the ratio of the annual average concentration to the chronic inhalation REL. A noninhalation
HQ is the ratio of the estimated noninhalation dose to the oral REL. The HQ for each compound is the sum of the chemical specific
inhalation HQ and non-inhalation HQ. A Hazard Index (HI) is the sum of the hazard quotients (HQ) for all compounds that affect a
particular target organ system. The highest target organ specific HI is the overall HI.
2. Adverse health effects are not expected to occur, even for sensitive members of the population, for hazard indices less than one. An
exceedance of one does not indicate that adverse effects will occur; rather, it is an indication of the erosion of the margin of safety, and that
the likelihood of adverse health effects is increased.
3. Arsenic, Mercury, and Nickel have noninhalation pathways; the chronic RELs for these compounds were derived from HARP and inc luded
the impacts of the inhalation and noninhalation pathways: inhalation, dermal adsorption, soil ingestion, mother's milk ingestion and home
grown produce ingestion pathways (urban area).
4. Chronic HQs are not calculated for compounds where all samples are <MDL. Note that each compound MDL is not the same for bot h
monitoring sites. For example, the San Jose arsenic MDL was 0.0015 µg/m3 compared with 0.0001 to 0.0002 µg/m3 for Cupertino. Thus,
the arsenic < MDL at San Jose does not necessarily mean that the chronic HQ due to arsenic concentrations are lower at the Sa n Jose site
than at the Cupertino site.
Table 5. 8-hour Chronic Non-cancer Risk Based on Ambient Air Monitoring Data
for Cupertino and San Jose
Compound
8-hour
Chronic
Inhalation
REL, µg/m3
8-hour Chronic Hazard
Quotient Target Organ System
Cupertino San Jose
Acetaldehyde 300 0.0 0.0 Respiratory
Acrolein 0.7 3.4 4.1 Respiratory
Arsenic 0.015 0.0 <MDL
Cardiovascular,
Reproductive/Developmental,
Nervous, Respiratory, Skin
1,3 Butadiene 9 0.0 0.0 Reproductive/Developmental
Formaldehyde 9 0.6 0.8 Respiratory
Manganese 0.17 0.2 0.2 Nervous
Mercury 0.06 0.1 N/A Reproductive/Developmental, Kidney,
Nervous
Nickel 0.06 0.1 <MDL Immune, Respiratory
8-hour Chronic Hazard Index: 4.1 4.9 Respiratory
Table 7
Table 5 Notes:
1. An 8-hr hazard quotient is calculated by dividing the 8-hour average concentration (e.g., for a worker or student or child at daycare that is
repeated over an annual period) by the 8-hr REL. A hazard Index is the sum of the hazard quotients for all compounds that affect a
particular target organ system. The greatest target organ HI is the overall HI.
2. Adverse health effects are not expected to occur, even for sensitive members of the population, for haza rd indices less than one. An
exceedance of one does not indicate that adverse effects will occur, rather, it is an indication of the erosion of the margin of safety and that
the likelihood of adverse health effects is increased.
3. The maximum 8-hour chronic exposure was conservatively estimated based on the assumption that all the pollutants for a 24 -hour sample
were collected within an 8-hour period. Therefore, an adjustment factor of 3 (24 hr/8 hr) was applied to the annual average concentrations
(averages of multiple 24-hr samples).
166
4. 8-hour Chronic HQs are not calculated for compounds where all samples are <MDL. Note that each compound MDL is not the same fo r
both monitoring sites. For example, the San Jose nickel MDL was 0.009 µg/m3 compared with 0.00003 to 0.00005 µg/m3 for Cupertino.
All of the Cupertino nickel values were less than the San Jose MDL for nickel. Thus, the nickel < MDL at San Jose does not n ecessarily
mean that the 8-hour chronic HQ due to nickel concentrations are lower at the San Jose site than at the Cupertino site.
Table 6. Acute Non-cancer Risk Based on Ambient Air Monitoring Data
for Cupertino and San Jose
Compound
Acute
Inhalation
REL, µg/m3
Acute Hazard Quotient
Target Organ System Cupertino San Jose
Acetaldehyde 470 0.1 0.1 Eye, Respiratory
Acrolein 2.5 0.1 0.1 Eye, Respiratory
Arsenic 0.2 0.0 <MDL
Cardiovascular,
Reproductive/Developmental,
Nervous
Benzene 1300 0.0 0.0 Reproductive/Developmental,
Hematologic, Immune
1,3 Butadiene 660 0.0 0.0 Reproductive/Developmental
Carbon Tetrachloride 1900 0.0 0.0
Alimentary,
Reproductive/Developmental,
Nervous,
Chloroform 150 0.0 0.0 Reproductive/Developmental,
Nervous, Respiratory
Copper 100 0.0 0.0 Respiratory
Formaldehyde 55 0.6 0.6 Eye
Mercury 0.6 0.1 N/A Reproductive/Developmental,
Nervous
Methyl Chloroform 68000 0.0 0.0 Nervous
Methylene Chloride 14000 0.0 0.0 Cardiovascular, Nervous
Methyl Ethyl Ketone 13000 0.0 0.0 Eye, Respiratory
Nickel 0.2 0.3 <MDL Immune
Perchloroethylene 20000 0.0 0.0 Eye, Nervous, Respiratory
Toluene 37000 0.0 0.0 Reproductive/Developmental, Eye,
Nervous, Respiratory
Vanadium 30 0.0 0.8 Eye, Respiratory
Vinyl chloride 180000 <MDL <MDL Eye, Nervous, Respiratory
M&P Xylene 22000 0.0 0.0 Eye, Nervous, Respiratory
O Xylene 22000 0.0 0.0 Eye, Nervous, Respiratory
Acute Hazard Index: 0.8 0.9 sensory irritation: Eyes
Table 8
Table 6 Notes:
167
1. An acute hazard quotient is the value of the maximum one-hour average concentration divided by the acute REL. A hazard Index (HI) is
the sum of the hazard quotients (HQ) for all compounds that affect a particular target organ system. The greatest target organ specific HI is
the overall HI.
2. Adverse health effects are not expected to occur, even for sensitive members of the population, for hazard indices less than one. An
exceedance of one does not indicate that adverse effects will occur, rather, it is an indication of the erosion of the margin of safety and that
the likelihood of adverse health effects is increased.
3. Max. 1-hr concentrations were assumed to be 7.5 times the max. 24-hr concentration. This adjustment factor was determined by
multiplying a 1-hr to 24-hr meteorological persistence factor of 1/0.4 = 2.5 ("Screening Procedures for Estimating the Air Quality Impact of
Stationary Sources, Revised, October 1992, EPA-454/R-92-019, page 4-16), by an emission rate scalar of 3 (24 hr/8 hr), that accounts for
temporal differences in emissions over the 24-hour period. This technique was used for this report to adjust concentrations based on the 24
hour monitoring data in Table 2.
4. Acute HQs are not calculated for compounds where all samples are <MDL. Note that each compound MDL is not the same for both
monitoring sites. For example, the San Jose nickel MDL was 0.009 µg/m3 compared with 0.00003 to 0.00005 µg/m3 for Cupertino. All of
the Cupertino nickel values were less than the San Jose MDL for nickel. Thus, the nickel < MDL at San Jose does not necessarily mean
that the Acute HQ due to nickel concentrations are lower at the San Jose site than at the Cupertino site.
168
Figure 1. Location of the Air District’s Cupertino Air Monitoring Station
10
169
11
0
100
200
300
400
500
600
Cupertino San Jose
Figure 2. Cancer Risk Based on
Ambient Air Monitoring Data Diesel PM Cancer Risk
Total Cancer Risk
170
R-14-127
Meeting 14-29
October 22, 2014
AGENDA ITEM 4
AGENDA ITEM
Award a Contract for Water Engineering and Consulting Services
GENERAL MANAGER’S RECOMMENDATION
Authorize the General Manager to award a contract to Wagner & Bonsignore Engineers for an
amount not-to-exceed $75,000 to provide water engineering and consulting services regarding
District water systems and rights.
SUMMARY
The District requires the assistance of technical experts in water engineering and consulting to
more effectively identify, measure, and maintain the water resources present on District lands, and
properly report its water use to the State Water Resources Control Board and the San Gregorio
Creek Watermaster. Water rights in the State of California is a highly technical and heavily
regulated subject area and failure to adequately resource the District’s interests could result in
restriction or loss of those rights. The General Manager recommends awarding a contract to
Wagner & Bonsignore Engineers (WBE) for an amount not-to-exceed $75,000 to provide the
professional services needed to identify, maintain and monitor District water rights in Fiscal Year
2014-15. A mid-year budget adjustment is expected to fund expenses through the end of the fiscal
year.
DISCUSSION
The District holds or controls various rights to use the water from creeks, springs, and ponds that
are associated with District property. Certain water uses are required to be reported to the State
Water Resources Control Board (SWRCB) in order to preserve these rights. Additionally, District
staff is required to report water use and/or respond to inquiries from a state-appointed Watermaster
in adjudicated watersheds (i.e., San Gregorio, Purisima, and Soquel Creeks).
Due to a combination of factors, including the continuing severe drought and the District’s efforts
to restore grazing on District property for resource conservation, the General Manager
recommends retaining a water rights engineering consultant to better map, quantify, and evaluate
District water rights for domestic, stockwatering, and resource preservation purposes, and to
ensure compliance with SWRCB regulatory requirements. An on-call technical expert/consultant
is needed to assist with emerging water rights and infrastructure issues, including those that are
currently arising more frequently in present drought conditions. This consultant would also assist
with developing best practices and a recommend approach for the long-term management and
R-14-127 Page 2
oversight of District water rights that span multiple in-house departments and district-wide
operations.
In accordance with the Board and Administrative policies regarding selection of professional
consultants, the District evaluated three proposals from Wagner & Bonsignore Engineers
(Sacramento), Stetson Engineers (Marin), and BSK Associates (Fresno). WBE was selected as the
most qualified consultant to serve the District’s water resource consulting needs as described
above, at a fair and reasonable price. WBE has vast experience in water rights reporting, mapping,
and compliance with state law. In June 2014, WBE performed a separate limited-scope consulting
project efficiently and competently for the District that involved the preparation and submittal of
annual water usage reports to the SWRCB.
FISCAL IMPACT
As this work was unanticipated during preparation of the FY2014-15 Action Plan and Budget, the
General Manager anticipates requesting a mid-year budget adjustment in December as part of the
Midyear Budget Review to set aside sufficient additional funding for the water rights project. The
Planning Department will act as the interim project lead until a determination is made on which
department should act as permanent lead and carry the ongoing project budget for future years.
BOARD COMMITTEE REVIEW
Due to the time critical nature of this work and the need for timely responses to the SWRCB and
San Gregorio Creek Watermaster, this item was not first presented to the Planning and Natural
Resources Committee.
PUBLIC NOTICE
Public notice was provided as required by the Brown Act.
CEQA COMPLIANCE
Retention of professional services to conduct evaluations, prepare documents, and assist with
long-range planning and compliance with state water resources laws and regulations does not
constitute a project under CEQA as it will not result in a direct physical change in the environment
[CEQA Guidelines Section 15060(c)(2)].
NEXT STEPS
Finalize contract and initiate project work as soon as possible.
Responsible Department Head:
Jane F. Mark, AICP, Planning Manager
Prepared by:
Hilary Stevenson, Assistant General Counsel
Meredith Manning, Senior Planner
Contact person:
Meredith Manning, Senior Planner