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APPENDIX D
AIR QUALITY, GREENHOUSE GAS AND
HEALTH RISK TECHNICAL REPORT
Prepared for
Lamphier-Gregory
Oakland, California
Prepared by
Ramboll Environ US Corporation
San Francisco, California
Project Number
1690001586
Date
December 2017
AIR QUALITY, GREENHOUSE GAS AND
HEALTH RISK TECHNICAL REPORT FOR
2017 OYSTER POINT SPECIFIC PLAN
UPDATE
OYSTER POINT
SOUTH SAN FRANCISCO, CALIFORNIA
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Contents i Ramboll Environ
CONTENTS
EXECUTIVE SUMMARY 1
1. INTRODUCTION 1
1.1 Project Description 1
1.2 Objective and Methodology 1
1.3 Thresholds Evaluated 2
1.3.1 Criteria Pollutants and Precursors 2
1.3.2 Greenhouse Gases 2
1.3.3 Risk and Hazards 2
1.3.4 Localized CO Impacts 3
1.3.5 Accidental Releases of Acutely Hazardous Air Pollutants 3
1.4 Report Organization 3
2. EMISSION ESTIMATES 5
2.1 Calculation Methodologies for Construction Emissions 5
2.1.1 Off-road Equipment Emissions 5
2.1.2 On-road Vehicle Emissions 5
2.2 Calculation Methodologies for Operational Emissions 6
2.2.1 Area Sources 6
2.2.2 Project Traffic 7
2.2.3 Energy Use 8
2.2.4 Water and Wastewater 8
2.2.5 Solid Waste 8
2.2.6 Emergency Generators 8
2.3 Calculation Methodologies for Off-site Emissions 8
3. ESTIMATED AIR CONCENTRATIONS 9
3.1 Chemical Selection 9
3.2 Sources of Emissions 9
3.3 Air Dispersion Modeling 9
3.3.1 Meteorological Data 10
3.3.2 Terrain Considerations 10
3.3.3 Emission Rates 10
3.3.4 Source Parameters 10
3.3.5 Receptors 11
3.3.6 Concentrations 12
4. RISK CHARACTERIZATION METHODS 13
4.1 Project Sources Evaluated 13
4.2 Exposure Assessment 13
4.3 Toxicity Assessment 14
4.4 Age Sensitivity Factors 14
4.5 Risk Characterization 14
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Contents ii Ramboll Environ
4.5.1 Estimation of Cancer Risks 14
4.5.2 Estimation of Chronic Non-cancer Hazard Quotients/Indices 15
5. CUMULATIVE OFF-SITE ANALYSIS 16
5.1 Stationary Sources 16
5.2 Roadway Sources 16
6. RESULTS FOR PROJECT ANALYSIS 18
6.1 Criteria Air Pollutants and Precursors 18
6.1.1 Construction CAPs 18
6.1.2 Operational CAPs 19
6.2 Greenhouse Gases 20
6.2.1 Construction GHGs 20
6.2.2 Operational GHGs 21
6.3 Risks and Hazards 22
6.3.1 Construction Risks and Hazards 22
6.3.2 Operational Risks and Hazards 22
6.3.3 Localized CO Impacts from Motor Vehicle Traffic 23
7. RESULTS FOR CUMULATIVE ANALYSIS 25
7.1 Cumulative Risks and Hazards 25
7.1.1 Methodology 25
7.1.2 Results 25
8. ACCIDENTAL RELEASES OF ACUTELY HAZARDOUS AIR POLLUTANTS 27
8.1 Introduction 27
8.2 Background 27
8.3 Methodology 27
8.4 Results 28
9. REFERENCES 29
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Contents iii Ramboll Environ
TABLES
Table 1. Project Land Use Summary
Table 2. BAAQMD CEQA Air Quality Thresholds of Significance
Table 3. Construction Schedule
Table 4. Construction Off-road Equipment List
Table 5. Construction On-road Trip Counts
Table 6. Construction On-road Worker Trip Emission Factors
Table 7. Construction On-road Vendor and Hauling Trip Emission Factors
Table 8. Construction On-road Emissions for BAAQMD Threshold Comparison
Table 9. Construction On-road Emissions for Health Risk Assessment
Table 10. CARB Consumer Products Regulations Since 2008
Table 11. Statewide Parameters for Development of 2017 VOC Emission Factor for Consumer Products
Table 12. Operational Project Trip Generation
Table 13. Adjusted Weekday CalEEMod Default Trip Generation Rates
Table 14. Adjusted Total Trips for Project Operation
Table 15. Adjusted Daily Trip Generation Rates for Project Operation
Table 16. PG&E Electricity Intensity Factor Derivations
Table 17. Construction Off-Road Equipment Modeling Input Parameters
Table 18. Construction Haul Road Modeling Input Parameters
Table 19. Operational Modeling Input Parameters
Table 20. Construction Exposure Parameters
Table 21. Operational Exposure Parameters
Table 22. Toxicity Values
Table 23. Age Sensitivity Factors
Table 24. Health Risk Impacts from Stationary Sources for Cumulative Analysis
Table 25. Health Risk Impacts from Mobile Sources for Cumulative Analysis
Table 26. Construction CAP Emissions (Unmitigated)
Table 27. Construction CAP Emissions (Mitigated)
Table 28. Operational CAP Emissions
Table 29. Construction GHG Emissions
Table 30. Operational GHG Emissions
Table 31. Construction Health Risk Assessment Findings
Table 32. Operational Health Risk Assessment Findings
Table 33. Construction Cumulative Analysis Risks and Hazards
Table 34. Operational Cumulative Analysis Risks and Hazards
Table 35. Summary of Accidental Release Impacts from Nearby Sources
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Contents iv Ramboll Environ
FIGURES
Figure 1. Proposed Project Site Plan
Figures 2a-2e. Construction and Operation Sources
Figures 3a-3c. Modeled Receptors
Figure 4. Stationary Sources
Figure 5. Construction MEISR Locations
Figure 6a-6b. Construction Risk Results
Figure 7. Operational MEI Locations
Figure 8. Summary of Toxic Endpoint Distances for Worst-Case RMP Scenarios
APPENDICES
Appendix A: Operational CalEEMod® Output
Appendix B: BAAQMD Stationary Source Response
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, and Health Risk Technical Report
Acronyms And Abbreviations v Ramboll Environ
ACRONYMS AND ABBREVIATIONS
AERMOD American Meteorological Society/Environmental Protection Agency Regulatory
Air Dispersion Model
ARB California Air Resources Board
ASF age sensitivity factor
BAAQMD Bay Area Air Quality Management District
CalARP California Accidental Release Program
CalEEMod® California Emissions Estimator Model
Cal/EPA California Environmental Protection Agency
CAP criteria air pollutant
CAPCOA California Air Pollution Control Officers Association
CEQA California Environmental Quality Act
CPF cancer potency factor
cREL chronic reference exposure level
DPM diesel particulate matter
EMFAC California Air Resource’s Board Emissions Factor Model
GHG greenhouse gas
HHDT heavy heavy duty trucks
HI hazard index
HQ hazard quotient
HRA health risk analysis
ksf thousand square feet
MEISR maximally exposed individual sensitive receptor
MHDT medium heavy duty trucks
MOU Memorandum of Understanding
NED National Elevations Database
OEHHA Office of Environmental Health Hazard Assessment
PM2.5 fine particulate matter less than 2.5 micrometers in aerodynamic diameter
PM10 respirable particulate matter less than 10 micrometers in aerodynamic
diameter
SCAQMD South Coast Air Quality Management District
SFBAAB San Francisco Bay Area Air Basin
TAC toxic air contaminant
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Acronyms And Abbreviations vi Ramboll Environ
USEPA United States Environmental Protection Agency
USGS United States Geological Survey
Units
g gram
kg kilogram
m meter
µg microgram
µg/m3 micrograms per cubic
meter
µm micrometer
m3/kg-day cubic meters per
kilogram per day
m3 cubic meters
mg milligram
s second
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Executive Summary ES-1 Ramboll Environ
EXECUTIVE SUMMARY
The 2017 Oyster Point Specific Plan (OPSP) Update (proposed “Project”) is bounded by
Oyster Cove to the west and the San Francisco Bay to the east, in South San Francisco,
California. The property is an approximately 30-acre lot. The proposed location and boundary
are shown in Figure 1. The proposed plan for the Project includes approximately
1,042,000 square feet of research and development, 1,450,000 square feet of residential
area, 50,000 square feet of retail area, as well as underground and surface parking. The
construction of the Project includes the demolition of the five structures currently on the site,
which total approximately 403,827 square feet. The construction will take place over three
phases. Phases III and IV contain all of the residential area and a portion of the retail and
parking, while Phase II contains all of the research and development and the remainder of
the retail and parking. The phases analyzed here are part of the existing OPSP that was
approved in 2011. The Precise Plan for the initial phase (Phase I) was approved in 2011, so
that phase is not being reanalyzed. However, Phase I operational emissions are recalculated
with current methodology to more accurately compare the total impact of Phases I through
IV to Bay Area Air Quality Management District (BAAQMD) California Environmental Quality
Act (CEQA) thresholds.
This report provides an inventory of criteria air pollutant (CAP) and greenhouse gas (GHG)
emissions that would result from the construction and operation of the Project. This report
also includes a health risk assessment to evaluate the impacts of air toxic emissions from
construction and operation of the Project on off-site and on-site sensitive receptors. In
addition, this report includes a health risk assessment to evaluate the cumulative impacts of
the Project as well as nearby sources under normal operating conditions. Finally, this report
includes assessment of the potential “worst-case” accidental release scenario for off-site
sources of acutely hazardous air pollutants in the vicinity of the Project to assess potential
emergency conditions.
Project emissions and health impacts were calculated consistent with the BAAQMD CEQA
Guidelines released in 2017 (BAAQMD 2017a). Project operational emissions were calculated
using California Emissions Estimator Model (CalEEMod®) version 2016.3.2. Construction
emissions were calculated using methodologies consistent with CalEEMod®, using a Project
specific construction list and schedule.
Consistent with BAAQMD guidance, health impacts are based on emissions of toxic air
contaminants (TACs).1 Concentrations of these TACs were estimated using AERMOD, a
Gaussian air dispersion model recommended by United States Environmental Protection
Agency (USEPA), California Air Resources Board (ARB), and BAAQMD for use in preparing
environmental documentation for stationary or construction sources. Health impacts were
calculated using the TAC concentrations and TAC toxicities and exposure assessments
consistent with the Office of Environmental Health Hazard Assessment (OEHHA) Hot Spots
guidance (OEHHA 2015a). Health impacts from off-site sources for the cumulative analysis
were obtained from BAAQMD screening tools.
1 For this project, the dominant TAC is diesel exhaust, also referred to as diesel particulate matter (DPM). Thus,
DPM was the only TAC used to estimate cancer risk and chronic hazard index. Health risks from other TACs
(e.g., from off-site stationary sources and background traffic) may be included in BAAQMD data used for the
cumulative analysis.
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Executive Summary ES-2 Ramboll Environ
The potential for the accidental release of acutely hazardous air pollutants from nearby
facilities was evaluated by reviewing publically available Risk Management Plans prepared by
facilities within San Mateo County that are subject to the California Accidental Release
Prevention (CalARP) Program. The RMPs indicate that even under “worst-case” release
scenarios, the distance that these acutely hazardous air pollutants travel before dissipating
to the point that serious injuries from short term exposures will no longer occur (i.e., toxic
endpoint) would not overlap with the Project site.
Project emissions and health impacts are compared against thresholds set in the 2017
BAAQMD CEQA Guidelines (BAAQMD 2017a). In addition, impacts are compared to those
identified in the 2011 Final Environmental Impact Report (EIR) for the 2011 OPSP. A
summary of the impacts is included below in Table ES-1.
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2. Results
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s done before
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re calculated
to
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p
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. Using the
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t
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e
emissions at full
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r
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5 The
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a
l
y
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p
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rporates
up
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ty. In addition,
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w
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ase the service
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.
T
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e
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f
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,
t
h
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m
p
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t
of the Project
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in the EIR.
4
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t
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t
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C
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5
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(
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2
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cal Report
Ex
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c
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m
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4
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Cr
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d
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Ex
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Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Introduction 1 Ramboll Environ
1. INTRODUCTION
At the request of Lamphier-Gregory, Ramboll Environ US Corporation (Ramboll Environ) has
prepared this technical report evaluating ambient air quality (AAQ), performing a health risk
assessment (HRA), evaluating greenhouse gases (GHGs), and evaluating accidental releases
of hazardous materials in the surrounding area (collectively referred to as the “technical
report”) associated with the proposed mixed use development, the 2017 Oyster Point
Specific Plan (OPSP) Update in South San Francisco, California (referred to as the “Project”).
Analyses followed California Environmental Quality Act (CEQA) guidelines released by the
Bay Area Air Quality Management District (BAAQMD or District) in May 2017
(BAAQMD 2017a).
1.1 Project Description
The proposed Project is bounded by Oyster Cove to the west and the San Francisco Bay to
the east, in South San Francisco, California. The property is an approximately 30-acre lot.
The proposed location and boundary are shown in Figure 1. The proposed plan for the
Project includes approximately 1,042,000 square feet of research and development,
1,450,000 square feet of residential area, 50,000 square feet of retail area, as well as
underground and surface parking. The construction of the Project includes the demolition of
the five structures currently on the site, which total approximately 403,827 square feet. The
construction will take place over three phases. Phases III and IV contain all of the residential
area and a portion of the retail and parking, while Phase II contains all of the research and
development and the remainder of the retail and parking. Table 1 summarizes the
distribution of land uses across the different phases. The phases analyzed here are part of
the existing OPSP that was approved in 2011. The Precise Plan for the initial phase (Phase I)
was approved in 2011, so that phase is not being reanalyzed fully here. However, Phase I
operational emissions are recalculated with current methodology to more accurately compare
the total impact of Phases I through IV to BAAQMD thresholds.
1.2 Objective and Methodology
As noted above, impacts are compared to the thresholds identified in the BAAQMD 2017
CEQA Guidelines. The BAAQMD 2017 CEQA Guidelines contain recommended thresholds for
criteria air pollutant (CAP) emissions and GHG emissions, and thresholds for risks and
hazards associated with toxic air contaminant (TAC) emissions from an individual project
undergoing environmental review pursuant to CEQA. In addition to the evaluation of an
individual project, the CEQA Guidelines recommend a cumulative evaluation of a project
which includes other air emissions sources within a “zone of influence” of 1,000 feet
surrounding the project. In addition, a worst-case scenario for release from acutely
hazardous air pollutants in the vicinity was assessed to determine whether the project site
would be affected during accidental release conditions.
The following areas are included in this technical report: construction and operational CAP
and GHG emissions; health impact of construction and operation on off-site and on-site
receptors; cumulative health impact to off-site sensitive receptors from construction,
operation, off-site stationary sources and mobile sources; assessment of accidental releases
of hazardous air materials.
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Introduction 2 Ramboll Environ
1.3 Thresholds Evaluated
1.3.1 Criteria Pollutants and Precursors
This technical report evaluates regional emissions of criteria pollutants and precursors from
construction and operation of the Project and evaluates these emissions against the
BAAQMD’s 2017 CEQA Guidelines significance thresholds for emissions, which are shown in
Table 2.
1.3.2 Greenhouse Gases
Furthermore, the evaluation compares Project-related operational GHG emissions to
BAAQMD’s 2017 CEQA thresholds of significance. For operational GHG emissions, the
threshold is 4.6 metric tonnes (MT) carbon dioxide equivalent (CO2e)/service population/year
(where service population is the sum of residents and employees) or 1,100 MT CO2e/year.
For stationary sources, the threshold is 10,000 MT CO2e/year.
1.3.3 Risk and Hazards
This report also includes a Health Risk Assessment (HRA), which evaluates the estimated
cancer risk, noncancer chronic hazard index (HI), and PM2.5 concentration on sensitive
populations. The HRA estimates the excess lifetime cancer risks, noncancer chronic HI, and
PM2.5 concentrations associated with the construction and operation of the Project on off-site
receptors. The HRA also estimates the impacts of construction on on-site receptors that
occupy residences before the entire Project is built, as well as the impacts of operation after
full buildout. The cumulative health risk analysis estimates health impacts of the Project
construction and operation in combination with health impacts that are attributable to
off-site mobile and stationary sources within the “zone of influence” of the Project.
The HRA evaluates potential sensitive receptor locations including “people—children, adults,
and seniors—occupying or residing in:
• Residential dwellings, including apartments, houses, condominiums;
• Schools;
• Daycare centers;
• Parks;
• Hospitals; and
• Senior-care facilities.” (BAAQMD 2012a)
To meet these objectives, this HRA was conducted consistent with the following guidance:
• Air Toxics Hot Spots Program Risk Assessment Guidelines (Office of Environmental Health
Hazard Assessment [OEHHA] 2015a);
• May 2017 BAAQMD CEQA Guidelines (BAAQMD 2017a); and
• BAAQMD Recommended Methods for Screening and Modeling Local Risks and Hazards
(BAAQMD 201ab);
The results of the health risk analyses are compared with the BAAQMD 2017 CEQA
significance thresholds. Construction and operational health impacts are compared against
the BAAQMD 2017 CEQA single source thresholds. Then the impacts from construction and
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Introduction 3 Ramboll Environ
operation, combined with off-site sources of TACs, are compared against the BAAQMD 2017
CEQA cumulative thresholds. The thresholds are shown in Table 2.
1.3.4 Localized CO Impacts
In addition, this report includes an evaluation of localized CO impacts from motor vehicles.
To evaluate the CO impact, traffic in the surrounding area was compared against the
BAAQMD screening criteria (BAAQMD 2017a).
The project is considered less than significant with respect to local CO concentrations if:
• The project is consistent with an applicable congestion management program established
by the county’s congestion management agency for designated roads or highways,
regional transportation plan, and local congestion management agency plans.
• The project traffic would not increase traffic volumes at affected intersections to more
than 44,000 vehicles per hour.
• The project traffic would not increase traffic volumes at affected intersections to more
than 24,000 vehicles per hour where vertical and/or horizontal mixing is substantially
limited (e.g., tunnel, parking garage, bridge underpass, natural or urban street canyon,
below-grade roadway).
1.3.5 Accidental Releases of Acutely Hazardous Air Pollutants
This report also includes an assessment of accidental releases of acutely hazardous air
pollutants from nearby facilities. The BAAQMD 2017 CEQA Guidelines include operational-
related thresholds for storage and use of acutely hazardous materials. The thresholds apply
to storage and use of acutely hazardous materials locating near receptors as well as new
receptors locating near stored or used acutely hazardous materials.
1.4 Report Organization
This technical report is divided into nine sections as follows:
Section 1.0 – Introduction: describes the purpose and scope of this technical report, the
objectives and methodology used in this technical report, and the report organization.
Section 2.0 – Emission Estimates: describes the methods used to estimate the emissions
of CAPs, TACs, and GHGs from the Project.
Section 3.0 – Estimated Air Concentrations: discusses the air dispersion modeling, the
selection of the dispersion models, the data used in the dispersion models (e.g., terrain,
meteorology, source characterization), and the identification of residential and sensitive
locations evaluated in this technical report.
Section 4.0 – Risk Characterization Methods: provides an overview of the methodology
for conducting the HRA.
Section 5.0 – Cumulative Analysis Methods: summarizes the approach used in the
screening cumulative analysis.
Section 6.0 – Results for Project Analysis: presents the average daily and maximum
annual CAP emissions, total annual GHG emissions and service population efficiency metric
comparison, localized CO impacts, estimated excess lifetime cancer risks, and chronic
noncancer HIs, and PM2.5 concentrations for the Project, and compares them to BAAQMD
significance thresholds.
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Introduction 4 Ramboll Environ
Section 7.0 – Results for Cumulative Analysis: presents the estimated cumulative
excess lifetime cancer risks, chronic noncancer HIs, and PM2.5 concentrations for the Project
and compares them to BAAQMD significance thresholds.
Section 8.0 – Accidental Release of Acutely Hazardous Air Pollutants: presents the
methodology and results of the analysis of accidental release of acutely hazardous air
polluants from nearby industrial facilities.
Section 9.0 – References: includes a listing of all references cited in this report.
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Emission Estimates 5 Ramboll Environ
2. EMISSION ESTIMATES
CAP, TAC, and GHG emissions from the construction and operation of the Project were
estimated. Methodologies are summarized below.
2.1 Calculation Methodologies for Construction Emissions
Emissions from construction activities7 were estimated using methodologies consistent with
the California Emissions Estimator Model (CalEEMod®), as described below. CalEEMod® was
developed by Ramboll Environ in collaboration with the California Air Pollution Control
Officers Association (CAPCOA) for use in developing emission inventories suitable for CEQA
analysis (CAPCOA 2016). Sources of construction emissions are exhaust from off-road
equipment and on-road vehicles. These sources emit CAPs in the form of NOX, ROG, and PM
as well as TACs in the form of diesel particulate matter (DPM). For this analysis, we are
assuming DPM is the same as exhaust PM10. Given that PM2.5 is a subset of PM10, the use of
PM10 as a surrogate for DPM will result in more conservative (i.e., overestimation of)
concentrations. Emissions are calculated using the same methodologies that are used in
CalEEMod®, as discussed below. However, where appropriate, updated versions of emissions
estimation models were used.
2.1.1 Off-road Equipment Emissions
Emissions from off-road equipment are based on the construction schedule, equipment
inventory, and equipment specifications. Tables 3 and 4 summarize the construction
schedule and off-road equipment, respectively, provided by the Project Applicant. Emissions
for each piece of equipment are calculated using the following equation and then summed by
year:
() = [ ℎ ℎ]∗[ !]∗["! #]
∗[#]∗[$ℎ %ℎ (!)]∗[% ]/[’ ]
2.1.2 On-road Vehicle Emissions
Emissions from on-road trucks are based on truck type, emission factor, distance travelled,
and number of trips, consistent with the approach used in CalEEMod®.
The number of worker and vender truck trips were calculated using methods consistent with
CalEEMod® based on the number of equipment and land use amounts in each phase. The
number of haul trips was provided by the Project Applicant. Trip counts are shown in
Table 5.
Emission factors were obtained from the California Air Resources Board’s Emissions Factor
Model (EMFAC2014) (CARB 2014). Tables 6 and 7 show the emission factors used in this
analysis. Running exhaust, starting, and idling emission factors are from EMFAC2014 for
annual San Mateo County emission rates for gasoline (for workers) and diesel (for vendors
and haulers) fueled vehicles aggregated over all speeds. Worker vehicles are assumed to
include 50% light-duty automobiles (or passenger cars), 25% light-duty trucks type 1
(LDT1), and 25% light-duty trucks type 2 (LDT2). Vendor trucks are assumed to be 50%
heavy heavy duty trucks (HHDT) and 50% medium heavy duty trucks (MHDT). Hauling
7 CalEEMod® pollutant construction emissions include on-site and off-site vehicle activity as well as non-mobile
emissions such as those from architectural coatings.
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Emission Estimates 6 Ramboll Environ
trucks are assumed to be all HHDT, consistent with default CalEEMod® assumptions.
EMFAC2014 does not estimate starting emissions from diesel trucks or idling emissions from
gasoline vehicles; therefore, starting emissions are only included in the emissions
calculations for worker vehicles and idling emissions are only included in the emissions
calculations for hauling and vendor trucks.
Emissions were calculated using two different sets of trip length distances. For comparison
against the BAAQMD mass emissions thresholds, CalEEMod® default trip lengths were used
to incorporate the emissions from the full worker, vendor, and hauling trips. For use in the
health risk assessment and dispersion modeling, only the portion of the trips that occurs on-
site was used, since the ambient pollutant concentrations and receptor-specific health risks
have localized impacts.
The emissions calculation for on-road truck activity for use in the threshold comparison is
shown in Table 8, which is based on the number of trips from Table 5 and the emission
factors from Tables 6 and 7. The emissions calculation for on-road truck activity for use in
the health risk assessment is shown in Table 9, which is also based on the number of trips
from Table 5 and the emission factors from Tables 6 and 7. For the health risk
assessment, PM10 emissions were calculated as exhaust emissions only, whereas PM2.5
emissions included exhaust, tire wear and brake wear emissions.
2.2 Calculation Methodologies for Operational Emissions
CalEEMod® version 2016.3.2 was used to estimate operational CAP and GHG emissions. The
model employs widely accepted calculation methodologies for emission estimates combined
with appropriate default data if site-specific information is not available. For this analysis,
default CalEEMod® inputs were used unless explicitly mentioned below. Emission estimates
are based on land use types and activity factors. This analysis uses the land uses shown in
Table 1. These selected land use types are the most appropriate CalEEMod® land use
categories for the Project. The CalEEMod® output is shown in Appendix A. Three separate
CalEEMod® runs represent the operational emissions from Phase I, Phases II through IV,
and existing land uses, respectively.
CAP and GHG emissions at the proposed Project come from several sources, including area
sources, energy use (including electricity and natural consumption), fuel combustion from
usage of the emergency diesel generators, and Project-generated traffic. Consistent with
BAAQMD 2017 CEQA Guidelines, GHG emission estimates include direct emissions associated
with natural gas usage for space and water heating, and fuel usage for transportation and
landscaping, as well as indirect emissions associated with electricity generation and
transportation, water and wastewater treatment and distribution, and solid waste disposal.
The emissions calculation methodologies of these sources are discussed below.
2.2.1 Area Sources
Most direct area source emissions are based on CalEEMod® defaults. Since BAAQMD does
not allow wood-burning devices in new buildings as per regulation 6-3, the default wood-
burning hearths have been modeled as natural gas hearths (BAAQMD 2015a). Area source
emissions are based on square footage of the specified land uses and the operational year to
calculate equipment activity and emissions.
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Emission Estimates 7 Ramboll Environ
The California Air Resources Board (CARB) has adopted four regulatory amendments
affecting consumer product VOC emissions since 2008.8 These regulations are increasingly
stringent and have reduced the statewide VOC emissions inventory from consumer products.
The most recent regulation, promulgated in 2013, shows the statewide consumer products
inventory for 2013. Table 10 shows the estimated statewide inventory in 2013 (taking into
account earlier regulations) and estimated reductions from 2010 and 2013 amendments to
the CARB consumer products regulations. Based on the Initial Statement of Reasons (ISOR)
for the 2013 amendment, Table 10 also shows the total tons of VOC reductions achieved by
each regulation after the effective date, which is used to calculate how the statewide VOC
emissions inventory has changed between 2008 to 2017.
Consumer product VOC emissions associated with operational activities were refined based
on these newer regulations, which have not been incorporated into CalEEMod.® The
CalEEMod® default emission factor for VOC emissions from consumer products (0.0000214
pounds/square foot/day) is from the 2008 CARB Consumer Product Emission Inventory. The
CalEEMod® VOC emission factor was adjusted based on the CARB data regarding the change
in VOC emissions from consumer products between 2008 and 2017. This was scaled by the
change in statewide population between 2008 and 2017; Ramboll Environ used population
growth to estimate total building square footage in 2017, also shown in Table 11. From this,
Ramboll Environ calculated a 2017 consumer products VOC emission factor of 0.0000162
pounds/square foot/day, which incorporates the emissions reductions from CARB rulemaking
not included in CalEEMod®. This emission factor is lower than the CalEEMod® emission factor
by approximately 24.3%.
2.2.2 Project Traffic
Project traffic emits CAPs and GHGs through resident, worker, and visitor trips. Net daily trip
rates for all Project land uses in Phase I, Phase II, and combined Phases III and IV were
obtained from the traffic engineer (Crane 2017) and are shown in Table 12. Default trip
generation rates for each land use were obtained using CalEEMod® defaults and adjusted
based on Project-specific trip generation totals. Default trip rates for each land use for each
phase are shown in Table 13. These trip rates were multiplied by the number of dwelling
units or square footage for each land use to calculate total daily trips for each land use. Total
default trips for each land use subcategory were used to determine the percent of all trips in
Phases III and IV, or in Phase II, that would occur from each land use subcategory. As
shown in Table 13, the net daily trips were allocated among the land use subcategories
based on the percentages calculated in Table 13, resulting in a total weekday trip rate for
each land use subcategory. As shown in Table 14, the Saturday and Sunday total trip rates
were calculated using the same ratio as CalEEMod® default weekday to weekend trip rates.
Finally, the trip rates calculated within each phase were collapsed into weighted average trip
rates for each land use subcategory to streamline CalEEMod® modeling, as shown in
Table 15. The emission factors were CalEEMod® defaults for San Mateo County for calendar
year 2025. Trip distances and types were also CalEEMod® defaults for San Mateo County
assuming rural land use.
8 The CalEEMod® model was developed in 2008 and relies upon a statewide VOC emissions inventory to determine
a VOC emissions factor to calculate consumer product emissions for projects.
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Emission Estimates 8 Ramboll Environ
2.2.3 Energy Use
The residential buildings, R&D office buildings, and the retail and restaurant land uses will
use both electricity and natural gas. The parking structures will use electricity. The emissions
associated with the energy usage were estimated using CalEEMod®. The Project will receive
electricity from Pacific Gas and Electric (PG&E). Emissions from natural gas use will
contribute to both GHGs and CAPs, while electricity use will only contribute to indirect GHG
emissions, consistent with BAAQMD guidance. Natural gas and electricity use were based on
CalEEMod® version 2016.3.2 defaults, which are based on compliance with 2016 Title 24.
The carbon intensity of electricity was based on the projected electricity intensity in 2025,
based on the State's interim Renewables Portfolio Standard (RPS) targets of 40 percent in
2024 and 45 percent in 2027, using PG&E’s 2014 emissions data as a base, as shown in
Table 16 (CEC 2017, PGE 2015).
2.2.4 Water and Wastewater
Indirect emissions associated with water and wastewater treatment and distribution will
contribute to GHG emissions only. CalEEMod® default water usage was used, although this
is likely a conservative assumption since CalGreen requires reductions in indoor water
consumption (CBSC 2014, 2017). CalEEMod® default electricity intensity factors for water
and wastewater treatment and distribution were assumed for the analysis.
2.2.5 Solid Waste
Indirect emissions associated with solid waste will contribute to GHG emissions only.
CalEEMod® default solid waste disposal rates were assumed for the analysis. This is likely a
conservative estimate, as the State has a 75 percent waste diversion goal by 2020
(CalRecycle 2017).
2.2.6 Emergency Generators
The Project is expected to include three new emergency diesel generators in Phase II.
Regular testing and maintenance of these generators will generate CAP and GHG emissions.
The proposed locations for these generators are shown in Figure 4. Each generator is
expected to be 750 kilowatts (kW) in size. For purpose of this analysis, it is assumed that
each generator undergoes 50 hours per year of routine testing and maintenance, per
BAAQMD Regulation 9-8-330.3 (BAAQMD 2007). Emissions from these generators are
calculated in CalEEMod®.
2.3 Calculation Methodologies for Off-site Emissions
Consistent with the BAAQMD CEQA guidelines, impacts from off-site sources within the “zone
of influence” on the off-site maximally exposed individual sensitive receptor were evaluated.
Off-site sources include BAAQMD permitted stationary sources, major roadways, and
highways. The impacts on off-site receptors include all off-site sources and Project
construction and operation.
The BAAQMD screening tools were used for analysis of all off-site sources, as described in
later sections. Emissions were not calculated separately for these sources.
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3. ESTIMATED AIR CONCENTRATIONS
To perform a health risk assessment, concentrations of air toxics at sensitive locations must
be estimated. BAAQMD recommends estimating concentrations with air pollution dispersion
modeling. The methodologies used to evaluate concentrations for the Project were based on
the most recent BAAQMD guidelines (BAAQMD 2017a).
3.1 Chemical Selection
The cancer risk and chronic non-cancer analyses in the HRA for the Project are based on
DPM concentrations. Diesel exhaust, a complex mixture that includes hundreds of individual
constituents, is identified by the State of California as a known carcinogen (California
Environmental Protection Agency [Cal/EPA] 1998). Under California regulatory guidelines,
DPM is used as a surrogate measure of exposure for the mixture of chemicals that make up
diesel exhaust as a whole. Cal/EPA and other proponents of using the surrogate approach to
quantifying cancer risks and non-cancer chronic HI associated with the diesel mixture
indicate that this method is preferable to use of a component-based approach. A component-
based approach involves estimating risks for each of the individual components of a mixture.
Critics of the component-based approach believe it will underestimate the risks and HI
associated with diesel as a whole mixture because the identity of all chemicals in the mixture
may not be known and/or exposure and health effects information for all chemicals identified
within the mixture may not be available. Furthermore, Cal/EPA has concluded that “potential
cancer risk from inhalation exposure to whole diesel exhaust will outweigh the multi-pathway
cancer risk from the speciated components” (OEHHA 2015b). Furthermore, BAAQMD states
“diesel exhaust particulate matter should be used as a surrogate for all TAC emissions from
diesel-fueled compression-ignition internal combustion engines” (BAAQMD 2017b).
No acute non-cancer toxicity has been identified for DPM. Thus, an acute HI from the Project
was not estimated.
3.2 Sources of Emissions
As discussed in the next section, concentrations of TACs from Project construction and
emergency generator emissions were estimated using the American Meteorological
Society/Environmental Protection Agency regulatory air dispersion model (AERMOD)
(USEPA 2016, 2017). Concentrations were estimated for construction activity—including
off-road equipment and on-road trucks—as well as emergency generators during Project
operation.
3.3 Air Dispersion Modeling
The most recent version of AERMOD (AERMOD Version 16216) was used to evaluate ambient
air concentrations of DPM and PM2.5 at off-site and on-site receptors. For each receptor
location, the model generates air concentrations (or air dispersion factors if unit emissions
(i.e., 1 g/s) were modeled) that result from emissions from multiple sources.
Air dispersion models such as AERMOD require a variety of inputs such as source
parameters, meteorological conditions, topography information, and receptor parameters.
When site-specific information is unknown, default parameter sets that are designed to
produce conservative (i.e., overestimates of) air concentrations were used. Modeling
parameters are shown in Table 17.
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3.3.1 Meteorological Data
Air dispersion modeling applications require the use of meteorological data that ideally are
spatially and temporally representative of conditions in the immediate vicinity of the site
under consideration. For this analysis, surface meteorological data from the San Francisco
International Airport (SFO) and upper air data from Oakland was used.
3.3.2 Terrain Considerations
Elevation and land use data were imported from the National Elevation Dataset (NED)
maintained by the United States Geological Survey ([USGS] 2013). An important
consideration in an air dispersion modeling analysis is the selection of rural or urban
dispersion coefficients. Due to the presence of the San Francisco Bay and the large
percentage of undeveloped land surrounding the Project site, rural dispersion coefficients
were used.
3.3.3 Emission Rates
Emissions were modeled using the unit rate emissions method, such that each source has a
unit emission rate (i.e., 1 gram per second [g/s]), and the model estimates dispersion
factors (with units of [µg/m3]/[g/s]). Actual emissions were multiplied by the dispersion
factors to obtain concentrations.
As discussed above, emitting activities were modeled to reflect the actual hours of operation.
For Project construction, emissions were modeled to occur between 8AM and 4PM, consistent
with when the construction will likely occur. Project construction emissions are discussed in
Section 2.1.
For average ambient air concentrations over the construction period, the estimated annual
average dispersion factors were multiplied by the average emission rates. The model
assumed the same distribution of emissions during all days of the year. Thus, the average
emission rates for each phase were calculated by taking the total mass of emissions and
dividing by the hours per year and the fraction of the year in each phase. Furthermore,
construction is only expected to occur on weekdays, but weekend meteorology is included in
the dispersion model. The meteorology for a given hour of the day is independent of whether
it falls on a weekend or weekday. Thus, weekends were included to have a more
representative sample of meteorology during the time of day construction will occur.
As discussed in section 2.2.6, Phase II may include three emergency diesel generators.
Generators were modeled with unit emission rates. Since generator testing could occur at
any hour of the day, the model was not constrained to use only certain hours of
meteorological data.
3.3.4 Source Parameters
Source location and parameters are necessary to model the dispersion of air emissions.
Construction source locations are shown in Figure 2. Source parameters and other inputs
are detailed in Tables 17 and 18.
The construction area was represented by a series of adjacent volume sources, consistent
with past projects completed in the BAAQMD jurisdiction and the South Coast Air Quality
Management District (SCAQMD) Local Significance Threshold guidance (SCAQMD 2008). Haul
route emissions were modelled as a line of adjacent volume sources. A release height of
4.57 meters and initial vertical dimension of 2.13 meters were used per BAAQMD
recommendation (SCAQMD 2008) and haul road guidance for exhaust (BAAQMD 2010). The
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northern section of the haul route has a smaller width than the southern section, so the two
sections were modelled with different initial lateral dimensions. For the northern section, the
initial lateral dimension was 11.86 meters. For the southern section, the initial lateral
dimension was 5.91 meters.
The emergency generators were modeled as point sources with typical release characteristics
consistent with default stack parameters presented in a technical memorandum to the
BAAQMD (STI 2011). Building downwash was modeled for all of the Project buildings within
Phases II, III, and IV. The average Phase II building height was calculated by measuring in a
Geographical Information System (GIS) the total building footprint of all Phase II buildings,
then dividing the 1,070 thousand square feet (ksf) over this area to determine an average
height of 6.4 floors per building. The height per floor was assumed to be 11 feet, resulting in
an average building height of 21.4 meters. Table 19 shows the point source parameters and
other model inputs, while Figure 2e shows the emergency generator, building, and receptor
locations.
3.3.5 Receptors
As discussed above, sensitive receptors include areas with residents, schools, daycare
centers, parks, hospitals, and senior care facilities. Residential and recreational areas within
1,000 feet of the Project site include existing live-aboard boats and proposed park areas in
the OPSP area. A grid of receptors with 25-meter spacing was created covering the entire
vicinity, as shown in Figure 3.9 A review of health databases and online searches showed no
other sensitive receptors within 1,000 feet of the Project site (CDOE 2017, CDSS 2017,
COSHPD 2017a, b). Off-site receptors were modeled at 1.8 meters (5.9 feet) of height,
consistent with BAAQMD guidance. As discussed previously, average annual dispersion
factors were estimated for each receptor location.
In addition, residents in proposed on-site residential buildings would be sensitive receptors.
On-site receptors were modeled for the sensitive populations that may move into Phase III
apartments before construction of the rest of the Project is finished. The health risk
assessment was performed on the Phase III apartment residents because they would be
exposed to the most construction emissions and can therefore be used as a conservative
assessment of all the proposed on-site receptors. Since these buildings could be up to seven
stories high, receptors were modeled at heights of 1.8, 4.8, 7.8, 10.8, 13.8, 16.8, 19.8, and
22.8 meters in case the maximum concentration occurred above the first story of the
buildings.
For the emergency generator modeling, an on-site receptor grid with 25-meter spacing
covering the full Project area was modeled. Each location was modeled at heights of 1.8, 4.8,
7.8, 10.8, 13.8, 16.8, 19.8, and 22.8 meters in case the maximum concentration occurred
above the first story of the buildings. Off-site receptors were not modeled, because as
described below, the impacts at the boundary of the on-site receptor grid were well below
the applicable BAAQMD CEQA significance thresholds, so the impacts off-site would be even
lower.
9 If the model predicted concentrations showed that the maximum impact might occur outside of this 1,000 feet,
further modeling would have been conducted. However, the model showed concentrations were much smaller at
1,000 feet from the Project, so additional receptors were not added.
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3.3.6 Concentrations
As discussed previously, emissions for both construction and operation were modeled using
the unit rate emission factor method, such that the model estimates dispersion factors based
on an emission rate of 1 g/s and the dispersion factors have units of [µg/m3]/[g/s].
Estimated average emissions were multiplied by the dispersion factors and divided by the
number of sources to obtain concentrations.
Emitted activities were modelled to reflect the actual hours of operation. For Project
construction, emissions were modelled to occur between 8AM and 4PM, which is within the
hours of operation permitted for development activity and heavy equipment operation by the
City of South San Francisco (City of South San Francisco 2017). For operational modelling, it
was assumed that the emergency generators could be operated at any time, so they were
modelled for 24 hours per day, seven days per week. As a result, no modelling adjustment
factor was needed.
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4. RISK CHARACTERIZATION METHODS
The following sections discuss in detail the various components required to conduct the HRA.
4.1 Project Sources Evaluated
As discussed in Section 1.3.3, excess lifetime cancer risk, chronic HI, and PM2.5
concentrations were evaluated for the following scenarios:
• Off-site sensitive receptor exposure to emissions from all Project construction (7.7
years)
• On-site sensitive receptors that move in mid-construction exposed to emissions from
construction after move-in (5.6 years)
• On-site and off-site residents and on-site workers exposed to operational emissions.
Additionally, cumulative impacts from construction and operation for nearby off-site emission
sources were evaluated on both off-site and on-site receptors.
4.2 Exposure Assessment
Potentially Exposed Populations: This assessment evaluated off-site residential receptors for
the construction scenario as well as on-site residential receptors than move in after the
completion of Phase III apartments. Operational emergency generator exposure was
quantified for on-site residential and worker receptors. The risks at the Project boundary
were conservatively assumed to equal the risk for the nearest off-site residents (i.e., house
boats in Oyster Point Marina and Oyster Cove Marina and future park areas in the OPSP
area).
No existing sensitive receptors were identified other than the residents on the house boats
near the Project boundary.
Exposure Assumptions: The exposure parameters used to estimate excess lifetime cancer
risks for all potentially exposed populations for the construction were obtained using risk
assessment guidelines from OEHHA (OEHHA 2015a) and BAAQMD (BAAQMD 2016), unless
otherwise noted, and are presented in Table 20. The exposure parameters for a resident
child are more conservative than those for an adult, so exposure is estimated for a resident
child, as presented in Table 20. Exposure parameters for adult workers near the Phase II
emergency generators are shown in Table 21.
Calculation of Intake: The dose estimated for each exposure pathway is a function of the
concentration of a chemical and the intake of that chemical. The intake factor for inhalation,
IFinh, can be calculated as follows:
IFinh = DBR x FAH x EF x ED x CF
AT
Where:
IFinh = Intake Factor for Inhalation (m3/kg-day)
DBR = Daily Breathing Rate (L/kg-day)
FAH = Fraction of Time at Home (unitless)
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EF = Exposure Frequency (days/year)
ED = Exposure Duration (years)
AT = Averaging Time (days)
CF = Conversion Factor, 0.001 (m3/L)
The chemical intake or dose is estimated by multiplying the inhalation intake factor, IFinh, by
the chemical concentration in air, Ci. When coupled with the chemical concentration, this
calculation is mathematically equivalent to the dose algorithm given in the OEHHA Hot Spots
guidance (OEHHA 2015a).
4.3 Toxicity Assessment
The toxicity assessment characterizes the relationship between the magnitude of exposure
and the nature and magnitude of adverse health effects that may result from such exposure.
For purposes of calculating exposure criteria to be used in risk assessments, adverse health
effects are classified into two broad categories – cancer and non-cancer endpoints. Toxicity
values used to estimate the likelihood of adverse effects occurring in humans at different
exposure levels are identified as part of the toxicity assessment component of a risk
assessment (Cal/EPA 2009, 2016).
Chronic toxicity values for DPM were used for cancer risk and chronic non-cancer HI
calculations, as summarized in Table 22.
4.4 Age Sensitivity Factors
The estimated excess lifetime cancer risks for a resident child was adjusted using the age
sensitivity factors (ASFs) recommended by OEHHA (2015a). This approach accounts for an
"anticipated special sensitivity to carcinogens" of infants and children. Cancer risk estimates
are weighted by a factor of 10 for exposures that occur from the third trimester of pregnancy
to two years of age and by a factor of three for exposures that occur from two years through
15 years of age. No weighting factor (i.e., an ASF of one, which is equivalent to no
adjustment) is applied to ages 16 and older. Table 23 shows the ASFs used for children
during the construction period and during operation of the emergency generators.
4.5 Risk Characterization
4.5.1 Estimation of Cancer Risks
Excess lifetime cancer risks are estimated as the upper-bound incremental probability that
an individual will develop cancer over a lifetime as a direct result of exposure to potential
carcinogens. The estimated risk is expressed as a unitless probability. The cancer risk
attributed to a chemical is calculated by multiplying the chemical intake or dose at the
human exchange boundaries (e.g., lungs) by the chemical-specific cancer potency factor
(CPF).
The equation used to calculate the potential excess lifetime cancer risk for the inhalation
pathway is as follows:
Riskinh =Ci x CF x IFinh x CPF x ASF
Where:
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Riskinh = Cancer risk; the incremental probability of an
individual developing cancer as a result of inhalation
exposure to a particular potential carcinogen (unitless)
Ci = Annual average air concentration for chemical during
construction activities (µg/m3)
CF = Conversion factor (mg/µg)
IFinh = Intake factor for inhalation (m3/kg-day)
CPFi = Cancer potency factor for chemicali
(mg chemical/kg body weight-day)-1
ASF = Age sensitivity factor (unitless)
DPM concentrations were estimated for each phase of construction in each calendar year.
The excess lifetime cancer risk calculation pairs the intake factor by calendar year and age
group with the appropriate concentration by year, ASF and MAF for each receptor type. For
emergency generator risk during operation, exposure is calculated using methods consistent
with the OEHHA guidelines. For residents, this assumes 30 year exposure beginning at the
third trimester. For adult workers, this assumes 25 year exposure beginning at age 16.
4.5.2 Estimation of Chronic Non-cancer Hazard Quotients/Indices
Chronic Hazard Quotient (HQ): The potential for exposure to result in adverse chronic non-
cancer effects is evaluated by comparing the estimated annual average air concentration
(which is equivalent to the average daily air concentration) to the non-cancer chronic
reference exposure level (cREL) for each chemical. When calculated for a single chemical,
the comparison yields a ratio termed a hazard quotient (HQ). To evaluate the potential for
adverse chronic non-cancer health effects from simultaneous exposure to multiple chemicals,
the HQs for all chemicals are summed, yielding a HI. DPM is the only pollutant evaluated for
chronic non-cancer hazard in this HRA; therefore the HQ for DPM is the same as the overall
HI.
i
i
i cREL
CHQ=
∑=iHQHI
Where:
HQi = Chronic hazard quotient for chemicali
HI = Hazard index
Ci = Annual average concentration of chemicali (µg/m3)
cRELi = Chronic non-cancer reference exposure level for
chemicali (µg/m³)
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5. CUMULATIVE OFF-SITE ANALYSIS
Consistent with the BAAQMD CEQA guidelines, impacts from off-site sources were evaluated
within the “zone of influence” of the newly cited sensitive receptors (i.e., on-site residents).
Off-site sources include BAAQMD permitted stationary sources, major roadways, and
adjacent highways. The incremental cancer risk, chronic HQ, and PM2.5 maximally exposed
individual sensitive receptor (MEISR) for Project construction was identified as a residential
location within 1,000 feet of the Project; therefore, emissions from all identified sources
within 1,000 feet of the Project were evaluated at this single location and added to the
results from the Project’s impacts. The sources considered in this analysis are described
below and shown in Figure 4.
In addition, impacts from off-site sources on the new residents were evaluated. The
incremental cancer risk, chronic HQ and PM2.5 were evaluated from all identified sources
within 1,000 feet of the Project and added to the results from the Project’s impacts.
5.1 Stationary Sources
BAAQMD provides a stationary source Google Earth tool to use to evaluate the impacts of
off-site stationary sources (BAAQMD 2012b). The stationary source tool shows one existing
stationary source within 1,000 feet of the Project residences. Consistent with BAAQMD
guidance, a request was sent to BAAQMD to confirm the risks, hazards, and PM2.5
concentrations reported in the tool. The impacts received from BAAQMD as a result of this
request were used in this analysis. BAAQMD’s response to the request is shown in
Appendix B.
It is also possible that Phase I of the OPSP will include emergency generators that were not
disclosed by BAAQMD. Given that all risks are well below applicable health risk thresholds for
the on-site Phase II generators as described in Section 6.3 below, and that the majority of
Phase I is outside the 1,000 feet zone of influence, any generators in Phase I are not
expected to contribute appreciably to risks.
Table 24 shows how the health risk impacts from the sources within the “zone of influence”
were estimated. The impacts provided by BAAQMD were scaled by the Diesel Internal
Combustion Engine Distance Multiplier (BAAQMD 2012c), per BAAQMD guidance. However,
the BAAQMD stationary source tool reports excess lifetime cancer risk estimated using the
previous version of the risk assessment guidance. Thus, to be consistent with current
guidance, excess lifetime cancer risk was also scaled to take into account the new OEHHA
guidance. The scaling factor was provided by BAAQMD.10
5.2 Roadway Sources
BAAQMD recommends evaluating impacts from all roadways with traffic of over
10,000 vehicles per day within the “zone of influence.” For the roadway analysis, traffic
volumes were obtained from the Project Applicant’s traffic consultant (Crane 2017).
Following Project completion, Oyster Point Boulevard is estimated to have over 10,000
vehicles per day. Table 25 shows the breakdown for trips to the different Project phases.
10 Personal communication between Virginia Lau, BAAQMD and Shari Libicki, Ramboll Environ on February 3, 2016.
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To evaluate potential health risk impacts from roadways and highways, BAAQMD provides a
Google Earth tool (BAAQMD 2015b). This tool was used to estimate cancer risk and PM2.5
concentrations from vehicle travel on Oyster Point Boulevard. The tool does not provide
specific estimates for chronic HI because the maximum chronic HI from any distance and
traffic volume is 0.03 (BAAQMD 2015b).
Table 25 shows how cancer risk and PM2.5 concentration were calculated at both the on-site
and off-site MEISR from Project construction and operation. Consistent with the approach
used for stationary sources, excess lifetime cancer risk was also scaled to take into account
the new OEHHA guidance using the scaling factor provided by BAAQMD.
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6. RESULTS FOR PROJECT ANALYSIS
In this section, the analysis results are compared to the relevant thresholds of significance.
The results are also compared to the 2011 OPSP Final EIR conclusions (City of South
San Francisco, 2011a, b).
6.1 Criteria Air Pollutants and Precursors
6.1.1 Construction CAPs
The BAAQMD 2017 CEQA significance thresholds for construction-related CAPs and
precursors are:
• Average daily ROG, PM2.5, and NOx emissions greater than 54 lb/day;
• Average daily PM10 emissions greater than 82 lb/day.
Tables 26 and 27 show the total CAP emissions associated with Project construction,
unmitigated and mitigated, respectively. The average daily incremental emissions associated
with Project construction are below the BAAQMD 2017 CEQA significance thresholds after the
following mitigation measure is applied:
MM AQ-1: All off-road construction equipment greater than 25 horsepower shall have
engines that meet or exceed either U.S. Environmental Protection Agency (USEPA) or
California Air Resources Board (ARB) Tier 4 Final off-road emission standards. If a
particular piece of off-road equipment that meets these standards is technically not
feasible; the equipment would not produce desired emissions reduction due to
expected operating modes; installation of the equipment would create a safety hazard
or impaired visibility for the operator; or, there is a compelling emergency need to use
off-road equipment that does not meet these standards, the Contractor shall use the
next cleanest piece of off-road equipment (i.e., Tier 3 Engine with Level 3 Verified
Diesel Emission Control Strategy (VDECS), Tier 3 Engine with Level 2 VDECS, Tier 3
Engine with alternative fuel), and the Contactor shall develop a Construction Emissions
Minimization Plan (CEMP) to describe the process used to identify the next cleanest
piece of off-road equipment and the steps that will be taken to reduce emissions of
criteria air pollutants to the greatest extent practicable. The CEMP shall be submitted
the City’s Planning Department for review and approval prior to using the equipment.
The 2011 OPSP EIR did not compare construction emissions to thresholds, because the
BAAQMD CEQA guidelines applicable at the time of the Notice of Preparation did not contain
numeric thresholds for construction. However, the EIR noted that the project would result in
potentially significant construction emissions impacts before mitigation. Mitigation Measure
Air-4a from the EIR to implement BAAQMD recommended dust-control measures would still
apply to the revised Project.11 The 2011 OPSP EIR did not quantify construction emissions for
Phases II, III, or IV of the Project, but construction of residential land uses generates
generally the same or less emissions (on a “per acre” basis) than construction of office/R&D
land uses. In addition, the analysis for the 2017 OPSP Update also incorporates MM AQ-1
above that will require lower-emitting construction equipment to be used, which will reduce
construction emissions to less than the BAAQMD thresholds. Thus, although the methods
11 Oyster Point Specific Plan and Phase I Project. Draft EIR. Chapter 6: Air Quality. Page 6-19.
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used to estimate emissions are different between the 2011 OPSP EIR and the 2017 OPSP
Update (CalEEMod® instead of URBEMIS), the mitigated construction CAP impacts from the
2017 OPSP Update are expected to be lower than the mitigated impacts from the 2011 OPSP
EIR.
6.1.2 Operational CAPs
The BAAQMD 2017 CEQA significance thresholds for operation-related CAPs and precursors
are:
• Average daily ROG, PM2.5, and NOX emissions greater than 54 lb/day;
• Average daily PM10 emissions greater than 82 lb/day;
• Maximum annual ROG, PM2.5, and NOX emissions greater than 10 tons per year (tpy);
and,
• Maximum annual PM10 emissions greater than 15 tpy.
Table 28 shows the total CAP emissions associated with Project operation. The average daily
incremental emissions associated with Project operation are below the BAAQMD 2017 CEQA
significance thresholds for all pollutants except ROG.To reduce impacts to less than
significant, the following mitigation measure is proposed:
MM AQ-2: Prior to occupancy of the final buildings at full buildout of the Project, the
Project Applicant or its designee shall pay a mitigation offset fee to the BAAQMD Bay Area
Clean Air Foundation (Foundation) in an amount to be determined at the time of the
impact. This fee will be determined by the Planning Division in consultation with the
Project Applicant and BAAQMD and based on the type of offset projects available at the
time of impact. This fee is intended to fund emissions reduction projects to achieve
reductions of 0.9 tons per year of ozone precursors, the estimated tonnage of
operational-related ROG emissions offsets required to reduce the ROG average daily and
annual operational emissions below the BAAQMD significance thresholds of 54 pounds per
day and 10 tons per year, respectively if full buildout of the Project occurs.
OR
Instead of payment of an offset fee outlined above, the impact could be reduced through
a reduction in area emissions of ROG resulting from use of paint at the site. Instead of
payment of an offset fee, the applicant could alternatively require use of zero- or ultra-
low VOC paints with a VOC content of less than 45 grams per liter at the site. This
requirement shall apply to all use of paint in the 2017 OPSP Update area, including both
exterior paint and interior paint for both areas maintained by building management and
areas under private ownership or use. If chosen instead of payment of an offset fee
outlined above, this requirement shall be part of all lease or property sale agreements in
the 2017 OPSP Update area and shall be enforced through building management and/or
home owners associations.
OR
If the State or BAAQMD enact regulations that require zero- or ultra-low VOC paints with
a VOC content of less than 45 grams per liter to be used exclusively at the site by the
time the final Phase of the project is operational, the mitigation offset fee or additional
lease or sale agreement constraints outlined above will not be required.
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The current process for payment of offset fees is detailed below. Per the above mitigation,
payment of offset fees will proceed according to BAAQMD procedures when initiated. The
Project Applicant or its designee would enter into a Memorandum of Understanding (MOU)
with the BAAQMD’s Foundation. The MOU will include details regarding the funds to be paid,
administrative fee and the timing of the emissions reductions project. Acceptance of this fee
by the BAAQMD will serve as an acknowledgment and commitment by the BAAQMD to: (1)
implement an emissions reduction project(s) within a time frame to be determined based on
the type of project(s) selected, after receipt of the mitigation fee to achieve the emission
reduction objectives specified above; and (2) provide documentation to the City of South
San Francisco and to the Project Applicant describing the amount of and the project(s)
funded by the mitigation fee, including the amount of emissions of ROG reduced (tons per
year) within the SFBAAB from the emissions reduction project(s).
After implementation of MM AQ-2, the impact is less than significant with mitigation, as
shown in Table 28.
The 2011 OPSP EIR compared operational emissions to the 1999 BAAQMD significance
thresholds (BAAQMD 2009). Operational emissions were calculated to be less than significant
after subtracting emissions from existing uses.12 Daily emissions of the OPSP Phases II, III,
and IV can be estimated by subtracting out the emissions from ‘Phase I Project New Uses’
from the ‘Proposed OPSP Buildout’ emissions in the EIR. Daily emissions from Phases II-IV in
the EIR were 30.9, 18.7, 77.3, and 15.9 pounds per day for ROG, NOx, PM10, and PM2.5,
respectively. The analysis for the 2017 OPSP Update uses revised modelling techniques
(CalEEMod® instead of URBEMIS). Daily emissions for ROG and NOx would be higher than in
the EIR, primarily because the revised modelling techniques calculate higher area ROG
emissions from consumer products and higher NOx emissions from natural gas combustion
and mobile sources. After adding the Phase I project emissions and subtracting emissions
from existing land uses (all modeled using current techniques), ROG daily emissions would
exceed the BAAQMD threshold and would therefore have a higher impact than in the EIR.
After implementation of MM AQ-2, emissions would be less than significant. Daily emissions
for PM10 and PM2.5 would be lower than in the EIR and remain less than significant under the
2017 BAAQMD guidelines.
6.2 Greenhouse Gases
6.2.1 Construction GHGs
Table 29 presents the total GHG emissions associated with Project construction. The total
construction GHG emissions are 7,525 MT CO2e. There are no differences between mitigated
and unmitigated GHG emissions because the mitigations recommended above do not affect
GHG emissions. The BAAQMD has not set thresholds of significance for construction GHG
emissions.
Since the BAAQMD does not have a construction threshold for GHG emissions, for purposes
of a significance determination the emissions have been amortized over 40 years (the
assumed lifetime of the buildings) and added to the operational emissions. These emissions
are compared to the BAAQMD “service population” operational threshold for GHG emissions
(4.6 MT/ CO2e/service population/year). As described in Section 6.2.2, Project GHG
12 Oyster Point Specific Plan and Phase I Project. Draft EIR. Chapter 6: Air Quality. Page 6-22.
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emissions are considered less than significant, even after including construction GHG
emissions. In addition, Mitigation Measure GHG-1 identified in the EIR would still apply to
construction and would further reduce emissions.
The 2011 OPSP EIR also confirmed that there are no thresholds of significance recommended
for construction GHG emissions, but quantified GHG emissions for Phase I construction using
URBEMIS. The 2011 EIR reports total GHG emissions for the Phase I development of 3,787
MT CO2 over the 3.5 year construction period, and maximum annual GHG emissions of 979
MT CO2. Results were conservatively compared to an annual operational threshold of 1,100
MT CO2, and the EIR concluded that results were less than significant. Even though results
were less than significant, the EIR incorporated mitigation measure GHG-1 for implementing
best management practices during construction.
The 2011 EIR did not quantify emission for Phases II, III, and IV, though assuming similar
construction activity for the square-footage, would have resulted in additional total emissions
of about 13,000 MT CO2, although since no schedule was proposed, maximum annual
emissions cannot be estimated. The GHG emissions associated with the 2017 OPSP Update
are 7,525 CO2e over the nearly nine year construction period, with maximum annual GHG
emissions of 1,764 MT CO2e. The reduction in overall construction emissions from that
assumed under the 2011 EIR is due largely to vehicle fleets having become lower-emitting
over time.
As is now standard practice in many local jurisdictions, construction emissions have been
amortized and added to operational emissions for comparison against BAAQMD thresholds,
as discussed below. As construction emissions are no longer significant, MM GHG-1 from the
2011 EIR is no longer applied.
6.2.2 Operational GHGs
Table 30 presents the total GHG emissions associated with Project operation. The GHG
emissions from the Project-generated area, traffic, energy, waste, and water are 2.5 MT
CO2e/service population/year. This is below the BAAQMD 2017 CEQA significance threshold
of 4.6 MT CO2e/service population/year for 2020. The stationary source emissions (from
diesel emergency generators) are below the threshold of 10,000 MT CO2e/year.
The 2011 OPSP EIR compared operational GHG emissions for Phase I and the OPSP buildout
to the 4.6 MT CO2e/service population/year threshold, although the analysis was done before
adoption of the threshold. Operational emissions were calculated to be significant and
unavoidable, at 4.64 MT CO2e/service population/year in 2035 for the full OPSP build out.13
Using the current analyses for Phases I, II, III, and IV, the emissions at full buildout in 2025
are 2.5 MT CO2e/service population/year. The analysis for the 2017 OPSP Update uses
updated modelling techniques (CalEEMod® and newer EMFAC2014) and incorporates
updated reductions due to new regulations for mobile vehicles, building energy efficiency,
and electricity intensity. In addition, the revised Project includes residents, which increase
the service population and therefore lower the value for comparison to the service population
threshold. Therefore, the impact of the Project is less than that in the EIR.
13 Oyster Point Specific Plan and Phase I Project. Draft EIR. Chapter 10: Greenhouse Gas Emissions. Page 10-16.
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6.3 Risks and Hazards
6.3.1 Construction Risks and Hazards
The BAAQMD 2017 CEQA significance thresholds for health risks and hazards from a project
single source are:
• An excess lifetime cancer risk level of more than 10 in one million;
• A noncancer (chronic or acute) HI greater than 1.014; and
• An incremental increase in the annual average PM2.5 of greater than 0.3 µg/m3.
These thresholds were evaluated for both off-site receptors as well as on-site residents that
move in prior to construction of later phases. Table 31 shows the excess lifetime cancer
risk, chronic noncancer HI, and PM2.5 concentration for the maximally exposed individual
sensitive receptor (or MEISR) during Project construction for both the unmitigated and
mitigated cases. Figure 5 shows the locations of the MEISRs in relation to the Project site.
Figure 6 shows the cancer risk at the modeled receptors. The estimated cancer risk at the
MEISR due to Project construction is below the applicable BAAQMD 2017 significance
threshold only after application of MM AQ-1.15 The estimated PM2.5 concentration at the
MEISR due to Project construction is also below the applicable BAAQMD 2017 CEQA
significance threshold only after application of MM AQ-1. The estimated noncancer chronic
HIs at the MEISR due to Project construction are below the corresponding BAAQMD 2017
CEQA significance threshold before and after mitigation.
The 2011 OPSP EIR did not compare risks to thresholds, because the BAAQMD CEQA
guidelines applicable at the time of the Notice of Preparation did not contain numeric
thresholds for construction. However, the EIR noted that DPM emissions from the project
might result in potentially significant health risk impacts to sensitive receptors before
mitigation, although risks were not explicitly quantified. Mitigation Measure Air-4a from the
EIR, which requires implementation of BAAQMD-recommended measures to control
particulate matter emissions during construction, was included in the EIR to reduce impacts
to less than significant and remains applicable.
Although the 2017 OPSP Update has the potential to increase health risk impacts by
extending the duration of construction and including onsite residents adjacent to construction
areas, the 2017 OPSP Update also has stringent mitigation on DPM emissions per MM AQ-1
above. While it is not possible to compare risks and hazards since they were not quantified in
the 2011 EIR, construction health risks associated with the 2017 OPSP Update are identified
as being less than significant with mitigation, similar to the 2011 EIR.
6.3.2 Operational Risks and Hazards
The BAAQMD 2017 CEQA significance thresholds for health risks and hazards from a project
single source are:
14 As noted earlier, there is currently no acute non-cancer toxicity value available for DPM. Thus, an acute HI from
the Project was not estimated.
15 As indicated in Figure 6b, some of the receptors modelled near the eastern border of the Oyster Cove Marina
have estimated risks greater than 10 in a million. Although it is possible that a resident could be present in this
location, it is highly unlikely that an infant would live in this location for its entire life, as conservatively assumed
in the analysis, as these locations are generally over water and not at dedicated boat slip locations.
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• An excess lifetime cancer risk level of more than 10 in one million;
• A noncancer (chronic or acute) HI greater than 1.0;16 and
• An incremental increase in the annual average PM2.5 of greater than 0.3 µg/m3.
These thresholds were evaluated for on-site residents with the intent to evaluate thresholds
for off-site residents if exceedances occurred on-site. Although not required under CEQA,
Ramboll Environ also evaluated health risks for on-site and off-site workers, due to their
potential proximity to the emergency generators (similar to the residents, the off-site worker
risks were conservatively evaluated at the Project boundary). Table 32 shows the excess
lifetime cancer risk, chronic noncancer HI, and PM2.5 concentration for the MEISR and
maximally exposed individual worker (MEIW) for both a Phase III/IV resident and a Phase II
worker during Project operation. The worker risks are disclosed for informational purposes
only. Figure 7 shows the locations of these MEIs. The estimated cancer risk, chronic
noncancer HI, and PM2.5 concentration are below the applicable BAAQMD 2017 CEQA
significance threshold for operation. Therefore, no mitigation is required.
The 2011 OPSP EIR determined that new sensitive receptors locating within the OPSP (such
as daycare facilities) may be exposed to unhealthy levels of TACs from nearby existing
industries that would be a potentially significant impact. However, impacts were determined
to be less than significant after implementation of Mitigation Measure Air -2 from the EIR,
which requires health risk assessments and land use screening measures for new
development of sensitive receptors locating within the OPSP. Health risks and hazards to
sensitive receptors were not explicitly quantified in the 2011 EIR.
Because the 2017 OPSP Update includes sensitive receptors (in this case, residents), this
health risk assessment has been performed (as required in the 2011 EIR for siting of
sensitive uses) and has determined that operational health risks at the site would be less
than significant. While not previously quantified, this impact would be the same or reduced
from that in the 2011 EIR, as the previous analysis already assumed the possibility of siting
sensitive uses in the area, and residential uses are generally a lesser source of health risk
than the previously-proposed office/R&D (due to traffic and generators/other stationary
sources).
6.3.3 Localized CO Impacts from Motor Vehicle Traffic
According to the BAAQMD’s screening criteria for CO (BAAQMD 2017a), projects are
considered less than significant with respect to local CO concentrations if:
• The project is consistent with an applicable congestion management program established
by the county’s congestion management agency for designated roads or highways,
regional transportation plan, and local congestion management agency plans.
• The project traffic would not increase traffic volumes at affected intersections to more
than 44,000 vehicles per hour.
• The project traffic would not increase traffic volumes at affected intersections to more
than 24,000 vehicles per hour where vertical and/or horizontal mixing is substantially
16 As noted earlier, there is currently no acute non-cancer toxicity value available for DPM. Thus, an acute HI from
the Project was not estimated.
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limited (e.g., tunnel, parking garage, bridge underpass, natural or urban street canyon,
below-grade roadway).
The traffic study (Crane 2017) shows that the maximum peak hour traffic volumes at study
intersections are below 44,000 vehicles per hour (or 24,000 vehicles per hour where mixing
is limited, such as at underpasses) under existing and future cumulative scenarios and both
with and without the Project.
This Project is consistent with the applicable congestion management program established
by the county’s congestion management agency, and traffic volumes at study intersections
would not exceed CO threshold levels. Therefore, the Project will meet all the criteria at key
intersections near the Project site and is less than significant for CO.
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7. RESULTS FOR CUMULATIVE ANALYSIS
7.1 Cumulative Risks and Hazards
In this section, the results of the cumulative analysis are compared to the relevant
thresholds of significance.
7.1.1 Methodology
The cumulative analysis is conducted at the on-site and off-site MEISR identified for Project
construction and operation; results at those locations are compared to the significance
thresholds for cumulative impacts:
• An excess lifetime cancer risk level of more than 100 in one million;
• A chronic non-cancer HI greater than 10; and
• An incremental increase in the annual average PM2.5 of greater than 0.8 µg/m3.
The incremental cancer risk, chronic HQ, and PM2.5 MEISR for the combined impacts from
Project construction and operation was identified as a residential location within 1,000 feet of
the Project. Impacts from the Project construction and operation and all identified sources
within 1,000 feet of the Project were evaluated at the MEISR for the combined impacts. As
discussed in Section 5, the off-site sources within the 1,000 feet of the Project are major
roadways and BAAQMD permitted stationary sources. The methodology to estimate impacts
from the roadway and stationary sources is described in Section 5.
7.1.2 Results
Table 33 shows a summary of the estimated excess lifetime cancer risks, chronic non-
cancer HIs, and PM2.5 concentrations for each of the source types listed above evaluated at
the Project’s on-site and off-site MEISRs for construction for the unmitigated and mitigated
cases. Table 34 shows this summary for the operation of the emergency generators.
For the construction off-site MEISR, the estimated cumulative cancer risk is 178 in one
million (unmitigated) which is above the cumulative significance threshold of greater than
100 in one million. With application of MM AQ-1, the cumulative risk is 13 in one million,
which is below the cumulative significance threshold. The chronic non-cancer HI is 0.16
(unmitigated) and 0.02 (mitigated) which is below the cumulative significance threshold of
greater than 10 for both the unmitigated and mitigated scenarios. The estimated PM2.5
concentration is 0.7 µg/m3 (unmitigated) and 0.1 µg/m3 (mitigated) which is below the
cumulative significance threshold of greater than 0.8 µg/m3 for both the mitigated and
unmitigated scenarios.
For the construction on-site MEISR, the estimated cumulative cancer risk is 98 in one million
(unmitigated) which is below the cumulative significance threshold of greater than 100 in
one million. With application of MM AQ-1, the cumulative risk is 15 in one million, which is
also below the cumulative significance threshold. The chronic non-cancer HI is 0.11
(unmitigated) and 0.01 (mitigated) which is below the cumulative significance threshold of
greater than 10 for both the unmitigated and mitigated scenarios. The estimated PM2.5
concentration is 0.7 µg/m3 (unmitigated) and 0.2 µg/m3 (mitigated) which is below the
cumulative significance threshold of greater than 0.8 µg/m3 for both the unmitigated and
mitigated scenarios.
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For operation, all receptors are below the cumulative thresholds, as shown in Table 34. The
on-site MEISR estimated cumulative cancer risk is 7in one million, while the on-site chronic
non-cancer HI is 0.001 and PM2.5 concentration is 0.1 µg/m3. The off-site MEISR was
conservatively evaluated at the Project boundary near the marina, where the cancer risk,
chronic HI, and PM2.5 concentration are 5 in one million, 0.01, and 0.03 µg/m3, respectively.
The 2011 OPSP Final EIR did not compare risks to cumulative thresholds, because the
BAAQMD CEQA guidelines applicable at the time of the Notice of Preparation did not require
cumulative analysis if the project did not exceed single-source thresholds, so changes in the
level of impact cannot be quantified.17 As discussed in project impacts, the OPSP as a source
of health risk is likely to be similar or slightly reduced from that in the 2011 EIR, as the
currently recommended construction mitigation is stricter and residential uses are generally
a lesser source of health risk than the previously-proposed office/R&D (due to traffic and
generators/other stationary sources). The 2011 OPSP Update would add additional receptors
to the site, but as discussed above, risk levels are below threshold levels and would not
result in significant impacts. In any case, both the 2011 EIR for the OPSP and the current
analysis for the OPSP Update conclude that the respective projects would not have a
cumulatively considerable effect with implementation of MM AQ-1.
17 Oyster Point Specific Plan and Phase I Project. Draft EIR. Chapter 6: Air Quality. Page 6-24.
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8. ACCIDENTAL RELEASES OF ACUTELY HAZARDOUS AIR
POLLUTANTS
8.1 Introduction
The BAAQMD CEQA Guidelines recommend evaluating accidental releases of acutely
hazardous air pollutants. Specifically, BAAQMD has established the following threshold of
significance: “Storage or use of acutely hazardous materials locating near receptors or new
receptors locating near stored or used acutely hazardous materials considered significant”
(BAAQMD 2017a). Given the location of this Project—which is surrounded by mostly
commercial and industrial land uses—and the fact that the Project would be locating
sensitive receptors (i.e., residences) onsite, an analysis was performed to evaluate the
potential for accidential releases of acutely hazardous air pollutants that could impact the
Project site.
8.2 Background
In order to perform this analysis, Ramboll Environ obtained information on “worst case”
accidental releases of acutely hazardous air pollutants from publically available documents.
Under Section 112(r)(7) of the Clean Air Act (CAA), USEPA requires facilities with large
quantities of very hazardous chemicals to prepare and implement programs to prevent the
accidental release of those chemicals and to mitigate the consequences of any releases that
do occur. USEPA issued that rule, “Chemical Accident Prevention Provisions” on
June 20, 1996. The rule is codified at part 68 of Title 40 of the Code of Federal Regulations
(CFR). If a facility handles, manufactures, uses, or stores any of the toxic or flammable
substances listed in 40 CFR 68.130 above the specified threshold quantities in a process, the
facility is required to develop and implement a Risk Management Program (RMP) under part
68 of 40 CFR.
In California, the California Accidental Release Prevention (CalARP) Program is designed to
carry out the objectives of the federal “Risk Management Program” or “Federal Accidental
Release Prevention (FedARP) Program,” established by USEPA, but the CalARP program has
additional requirements specific to the State of California, in accordance with the California
Health and Safety Code (HSC).18
8.3 Methodology
An evaluation of accidental releases of acutely hazardous air pollutants from nearby facilities
was conducted to determine if releases at these facilities could affect the Project site. For
this evaluation, Ramboll Environ focused on commercial and industrial sites in proximity to
the Project site that handle, manufacture, use, or store more than a threshold quantity of a
regulated substance and are thereby required to prepare RMPs under the CalARP program.
Because this information is publicly available, a Public Records Act request was submitted to
the San Mateo County Environmental Health Department to obtain existing RMP data for the
qualifying facilities in San Mateo County (CSMHS 2017). These qualifying facilities include:
• Harry Tracy Water Treatment Plant,
• United Technical Operations,
18 California Health and Safety Code, Chapter 6.95, Article 2, Sections 25531-25543.3.
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• It’s-It Ice Cream Company,
• SLAC National Accelerator Laboratory, and
• NXEdge-Inc19
As a conservative measure, the analysis focused on “worst-case” release scenarios reported
by these facilities. In addition, the analysis was not strictly limited to air pollutants, but was
designed to capture other potential hazards identified in the RMP as well, such as fires and
explosions. USEPA’s RMP guidance defines the “worst-case” release scenario as “the release
of the largest quantity of a regulated substance from a single vessel or process line failure
that results in the greatest distance to an endpoint” (40 CFR 68.3). The CalARP definition of
“worst-case” release scenario is very similar: “the release of the largest quantity of a
regulated substance from a vessel or process line failure that results in the greatest distance
to an endpoint…” (19 CCR §§ 2735.3). In broad terms, the distance to the endpoint is the
distance a toxic vapor cloud, heat from a fire, or blast waves from an explosion will travel
before dissipating to the point that serious injuries from short term exposures will no longer
occur. For a worst-case release scenario analysis under RMP/CalARP, the possible causes of
the worst-case release or the probability that such a release might take place are not
considered; the release is simply assumed to occur. Worst-case release scenarios represent
the failure modes that would result in the worst possible off-site consequences, however
unlikely, and do not represent more likely smaller releases that would potentially result in
smaller impacts (USEPA 1999).
Based on a review of the information supplied by the San Mateo County Environmental
Health Department in response to the public records request, Ramboll Environ tabulated and
mapped the worst-case distances to toxic endpoints around each facility, as shown in
Table 35 and Figure 8, respectively (Acteron Corporation 2005-2012, Condor Earth
Technologies, Inc. 2012, ERM 2013, SLAC 2012, SRT Consultants 2015). All toxic endpoints
identified in this analysis correspond to releases of acutely hazardous air pollutants and are
therefore applicable to the BAAQMD CEQA threshold for storing or using acutely hazardous
materials.
8.4 Results
As shown in Table 35 and Figure 8, the worst-case toxic endpoints for all qualifying
facilities do not overlap with the Project site. The facility closest to the Project site (United
Technical Operations) also has the largest toxic endpoint distance; however, the worst-case
toxic endpoint for this facility is greater than two miles from the Project site. Therefore, the
potential for an accidental release of acutely hazardous air pollutants to impact the Project
site is considered less than significant.
19 NXEdge assumed ownership of their facility in San Carlos, California in January 2017. The previous operator of
the facility, Acteron Corporation, was a semiconductor company similar to NXEdge. In February 2017, the San
Mateo County Environmental Health Department inspected the NXEdge facility and requested that the company
revise their CalARP Program registration form and determine if the existing RMP is still adequate. At the time of
preparing this report, the San Mateo County Environmental Health Department did not have information in
response to this request. As a result, the RMP from Acteron has been used as a proxy for NXEdge’s operations.
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Crane Transportation Group (Crane). 2017. Trip Generation Table for the 2017 OPSP Update
Project.
ERM. 2013. Risk Management Plan for United Airlines, Inc. February.
Office of Environmental Health Hazard Assessment (OEHHA). 2015a. Air Toxics Hot Spots
Program Risk Assessment Guidelines. Guidance Manual for Preparation of Health Risk
Assessments. February. Available at:
https://oehha.ca.gov/media/downloads/crnr/2015guidancemanual.pdf
OEHHA. 2015b. Air Toxics Hot Spots Program Risk Assessment Guidelines. Guidance Manual
for Preparation of Health Risk Assessments. Appendix D: Risk Assessment Procedures to
Evaluate Particulate Emissions from Diesel-Fueled Engines. February. Available online at:
https://oehha.ca.gov/media/downloads/crnr/2015gmappendicesaf.pdf
Pacific Gas & Electric (PGE). Corporate Responsibility and Sustainability Report 2015.
Available online at:
http://www.pgecorp.com/corp_responsibility/reports/2015/PGE_CRSR_2015.pdf
Stanford Linear Accelerator Laboratory (SLAC). 2012. SLAC’s CalARP Risk Management Plan.
April.
Sonoma Technology, Inc (STI). 2011. Default modeling parameters for stationary sources.
Technical Memorandum from John Stilley and Stephen Reid to Phil Martien and Virginia
Lau, Bay Area Air Quality Management District. April 1.
South Coast Air Quality Management District (SCAQMD). 2008. Final Localized Significance
Threshold Methodology. July. Available at:
http://www.aqmd.gov/ceqa/handbook/lst/lst.html
SRT Consultants. 2015. 2015 Risk Management Plan Update – SM County Submittal, for
Aqueous Ammonia System at Harry Tracy Water Treatment Plant. September.
United States Environmental Protection Agency (USEPA). 1999. Risk Management Program
Guidance for Off-site Consequence Analysis. April. Available at:
https://www.epa.gov/rmp/rmp-guidance-offsite-consequence-analysis
USEPA. 2016. User's Guide for the AMS/EPA Regulatory Model - AERMOD. December.
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
References 32 Ramboll Environ
USEPA. 2017. Guideline on Air Quality Models (Revised). 40 Code of Federal Regulations,
Part 51, Appendix W. Office of Air Quality Planning and Standards. January. Available at:
https://www3.epa.gov/ttn/scram/guidance/guide/appw_17.pdf
United States Geological Survey (USGS). 2013. National Elevation Dataset. Available at:
http://viewer.nationalmap.gov/viewer/ .
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Ramboll Environ
TABLES
Phase I Phase II Phase III Phase IV
Commercial Research &
Development --1,042 ----ksf
Commercial Office Park 508 ------ksf
Residential Apartments ----330 365 DU
Residential Condominiums ----150 346 DU
Recreational High Turnover (Sit
Down Restaurant)--5.6 5.5 2.2 ksf
Recreational City Park 4.8 ------acres
Retail Strip Mall 10 16.8 2.8 6.6 ksf
Retail Convenience
Market (24 hour)--5.6 2.8 2.2 ksf
Notes:
1
2
Abbreviations:
CalEEMod® - California Emissions Estimator Model
DU - dwelling unit
ksf - thousand square feet
Land use amounts were provided by Project Applicant. Existing land use was modeled as 403,827
ksf of general light industry.
Land uses as defined in CalEEMod®. When an exact mapping of a land use was not available in
CalEEMod® relative to the project description, a land use with similar emission characteristics was
chosen.
Size Metric
Table 1. Project Land Use Summary
2017 Oyster Point Specific Plan Update
South San Francisco, California
Land Use
Category
CalEEMod® Land
Use Subtype1
Land Use Amount2
Ramboll Environ
Average Daily EmissionsMaximum Annual Emissions
(lbs/day)(lbs/day)(tons/year)
ROGs5454 10
NOX 5454 10
82
(exhaust only)
54
(exhaust only)
PM10/PM2.5 (fugitive dust)Best Management Practices
GHGs - Projects other than
Stationary Sources None
GHGs - Stationary SourcesNone
Risks and Hazards for New
Sources and Receptors
(Individual Project)
Same as Operational
Thresholds
Risks and Hazards
for New Sources
and Receptors
(Cumulative Threshold)
Same as Operational
Thresholds
Accidental Release of Acutely
Hazardous Air Pollutants None
Odors None
Abbreviations:
BAAQMD - Bay Area Air Quality Management District
BMP - best management practices
CEQA - California Environmental Quality ActNOx - nitrogen oxides
CO - carbon monoxide PM10 - particulate matter less than 10 micrometers in diameter
HI - hazard index PM2.5 - particulate matter less than 2.5 micrometers in diameter
lbs - pounds ROG - reactive organic gases
µg/m3 - micrograms per cubic meter
References:
Table 2. BAAQMD CEQA Air Quality Thresholds of Significance
2017 Oyster Point Specific Plan Update
South San Francisco, California
Air Pollutants
(and Precursors)
Operational-Related
20.0 ppm (1-hour average)
Compliance with Qualified Community Risk Reduction Plan
OR
Increased cancer risk of >10.0 in a million
Increased non-cancer risk of > 1.0 HI
(chronic or acute)
Ambient PM2.5 increase: > 0.3 µg/m3 annual average, a concentration that
would not result in significant health impacts.
Zone of Influence: 1,000-foot radius from fence line of source or receptor
Compliance with Qualifed Greenhouse Gas Reduction Strategy
OR
1,100 MT of CO2e/yr
OR
4.6 MT CO2e/SP/yr (residents + employees)
10,000 MT/yr
Construction-Related
Average Daily Emissions
Storage or use of acutely hazardous materials locating near receptors or new
receptors locating near stored or used acutely hazardous materials considered
significant
MT CO2e/SP/yr - metric tons carbon dioxide equivalent per service population
per year
MT of CO2e/yr - metric tons of carbon dioxide equivalent per
year
BAAQMD, 2017. Table D-2 - Air Quality CEQA Thresholds of Significance. Available at: http://www.baaqmd.gov/~/media/files/planning-and-
research/ceqa/ceqa_guidelines_may2017-pdf.pdf?la=en
PM10 82 15
PM2.5 54 10
Complaint History – five confirmed complaints per year averaged over 3 years
Compliance with Qualified Community Risk Reduction Plan
OR
Increased cancer risk of >100 in a million (from all local sources)
Increased non-cancer risk of >10 HI (from all local sources) (chronic)
Ambient PM2.5 increase: > 0.8 µg/m3 annual average (from all local sources)
Zone of Influence: 1,000-foot radius from fence line of source or receptor
None
CO (local concentration)None 9.0 ppm (8-hour average)
Ramboll Environ
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Ramboll Environ
PhasePhase Name Equipment Type1 CalEEMod® EquipmentQuantity1 Average Usage
Hours per Day2 Horsepower1
LoaderRubber Tired Loaders28120
Dump TruckOff-Highway Truck38325
BulldozerRubber Tired Dozers28400
BackhoeTractors/Loaders/Backhoes24350
ScraperScrapers22330
Water TruckOff-Highway Truck22330
ExcavatorExcavator31385
Dump TruckOff-Highway Truck31325
CraneCranes34150
CraneCranes24335
DrillBore/Drill Rigs41225
ForkliftForklift41210
Concrete TruckOff-Highway Truck44325
Water TruckOff-Highway Truck22330
Concrete PumpPumps4473
WelderWelders4235
Air CompressorAir Compressor34150
Hi-Lift ForkliftForklift41120
Rubber Tired LoaderRubber Tired Loaders21260
Temp Generators Generator Sets8184
DrillBore/Drill Rigs41225
ForkliftForklift41210
Concrete TruckOff-Highway Truck44325
Water TruckOff-Highway Truck22330
Concrete PumpPumps4473
WelderWelders4235
Air CompressorAir Compressor34150
Hi-Lift ForkliftForklift41120
Pile HammerBore/Drill Rigs00130
Rubber Tired LoaderRubber Tired Loaders21260
Temp Generators Generator Sets8184
Table 4. Construction Offroad Equipment List
2017 Oyster Point Specific Plan Update
South San Francisco, California
Phase II
Construction
Foundation
Site Preparation
Demolition
Page 1 of 4 Ramboll Environ
PhasePhase Name Equipment Type1 CalEEMod® EquipmentQuantity1 Average Usage
Hours per Day2 Horsepower1
Table 4. Construction Offroad Equipment List
2017 Oyster Point Specific Plan Update
South San Francisco, California
LoaderRubber Tired Loaders28120
Dump TruckOff-Highway Truck38325
BulldozerRubber Tired Dozers28400
BackhoeTractors/Loaders/Backhoes24350
ScraperScrapers22330
Water TruckOff-Highway Truck22330
Dump TruckOff-Highway Truck24325
BackhoeTractors/Loaders/Backhoes24250
Trencher Trenchers1441
ExcavatorExcavator21385
Dump TruckOff-Highway Truck21325
CraneCranes24150
ExcavatorExcavator31385
Dump TruckOff-Highway Truck31325
CraneCranes32150
CraneCranes11335
RollerRoller1240
PaverPavers12175
Berm MachineTractors/Loaders/Backhoes1144
Dump TruckOff-Highway Truck14325
BackhoeTractors/Loaders/Backhoes14350
PickupOff-Highway Truck28250
RollerRoller1240
PaverPavers12175
Berm MachineTractors/Loaders/Backhoes1144
Dump TruckOff-Highway Truck14325
BackhoeTractors/Loaders/Backhoes14350
PickupOff-Highway Truck28250
Grading &
Utility
Construction
Paving & Street
Improvements
Landscape
Improvements
Demolition
Phase III &
IV
Page 2 of 4 Ramboll Environ
PhasePhase Name Equipment Type1 CalEEMod® EquipmentQuantity1 Average Usage
Hours per Day2 Horsepower1
Table 4. Construction Offroad Equipment List
2017 Oyster Point Specific Plan Update
South San Francisco, California
ExcavatorExcavator21385
Dump TruckOff-Highway Truck21325
CraneCranes24150
DrillBore/Drill Rigs22225
ForkliftForklift22210
Concrete TruckOff-Highway Truck22325
Water TruckOff-Highway Truck22330
Concrete PumpPumps2273
WelderWelders2135
Air CompressorAir Compressor25150
Hi-Lift ForkliftForklift22120
Pile HammerBore/Drill Rigs22130
Rubber Tired LoaderRubber Tired Loaders21260
Temp Generators Generator Sets4384
DrillBore/Drill Rigs22225
ForkliftForklift22210
Concrete TruckOff-Highway Truck22325
Water TruckOff-Highway Truck22330
Concrete PumpPumps2273
WelderWelders2135
Air CompressorAir Compressor25150
Hi-Lift ForkliftForklift22120
Pile HammerBore/Drill Rigs22130
Rubber Tired LoaderRubber Tired Loaders21260
Temp Generators Generator Sets4384
Phase III
Building
Construction
(Apartments)
Building
Construction
(Condos)
Site Preparation
Page 3 of 4 Ramboll Environ
PhasePhase Name Equipment Type1 CalEEMod® EquipmentQuantity1 Average Usage
Hours per Day2 Horsepower1
Table 4. Construction Offroad Equipment List
2017 Oyster Point Specific Plan Update
South San Francisco, California
ExcavatorExcavator31385
Dump TruckOff-Highway Truck31325
CraneCranes32150
CraneCranes11335
DrillBore/Drill Rigs31225
ForkliftForklift32210
Concrete TruckOff-Highway Truck34325
Water TruckOff-Highway Truck32330
Concrete PumpPumps3473
WelderWelders4235
Air CompressorAir Compressor25150
Hi-Lift ForkliftForklift32120
Pile HammerBore/Drill Rigs32130
Rubber Tired LoaderRubber Tired Loaders31260
Temp Generators Generator Sets3384
DrillBore/Drill Rigs31225
ForkliftForklift32210
Concrete TruckOff-Highway Truck34325
Water TruckOff-Highway Truck32330
Concrete PumpPumps3473
WelderWelders4235
Air CompressorAir Compressor25150
Hi-Lift ForkliftForklift32120
Pile HammerBore/Drill Rigs32130
Rubber Tired LoaderRubber Tired Loaders31260
Temp Generators Generator Sets3384
DrillBore/Drill Rigs31225
ForkliftForklift32210
Concrete TruckOff-Highway Truck34325
Water TruckOff-Highway Truck32330
Concrete PumpPumps3473
WelderWelders4235
Air CompressorAir Compressor25150
Hi-Lift ForkliftForklift32120
Pile HammerBore/Drill Rigs32130
Rubber Tired LoaderRubber Tired Loaders31260
Temp Generators Generator Sets3384
Notes:
1
2
Assumes that each piece of equipment operates at the stated number of hours per day for the duration of the construction phase.
Equipment type and quantity are Project specific estimates. Equipment is matched to the relevant CalEEMod® equipment category.
Phase IV
Building
Construction
(Condo 2)
Building
Construction
(Condo 1)
Building
Construction
(Apartments)
Site Preparation
Page 4 of 4 Ramboll Environ
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Proposed VOC Emissions
Reductions following
Regulatory Amendments
Statewide VOC Emissions
from Consumer Products
(tons/day)(tons/day)
2013 Inventory 1 -205
2010 Amendments effective January 1, 20141 -5 200
2010 Amendments effective January 1, 20151 -0.2 199.8
2013 Amendments effective January 1, 20171 -4.1 195.7
2017 Inventory (Post Amendment Adjustments)-195.7
Notes:
1 Available at: http://www.arb.ca.gov/regact/2013/cp2013/cp13isor.pdf. Accessed: November, 2017.
Abbreviations:
CARB - California Air Resources Board
VOC - Volatile Organic Compound
Table 10. CARB Consumer Products Regulations Since 2008
2017 Oyster Point Specific Plan Update
South San Francisco, California
Year
Ramboll Environ
Year
Total VOC
Inventory
(tons/day)1
California
Population2
Total Building
Square Footage3
Consumer Products
VOC Emission
Factor (lb/square
foot/day)
2017 Reduction
from CalEEMod®
Emission Factor
2008 statewide, from
CalEEMod®239.6 36,457,375 22,435,267,518 0.0000214 24.3%
2017 195.7 39,523,613 24,158,505,108 0.0000162 --
Notes:
1
2
3
Abbreviations:
CalEEMod® - California Emissions Model
lb - pound
VOC - Volatile Organic Compound
2008 value from CalEEMod® Users Guide, Appendix E. 2017 value calculated from
http://www.arb.ca.gov/regact/2013/cp2013/cp13isor.pdf.
Population estimates based on State of California, Department of Finance, Estimates. 2017 data available at:
http://www.dof.ca.gov/Forecasting/Demographics/Estimates/E-1/. Accessed: November 2017. 2008 data available at:
http://www.dof.ca.gov/Forecasting/Demographics/Estimates/E-4/2001-10/. Accessed: November 2017.
2008 value from CalEEMod® Users Guide, Appendix E. 2017 value calculated by Ramboll Environ using the growth in California
population and the 2008 total building square footage.
Table 11. Statewide Parameters for Development of 2017 VOC Emission Factor for Consumer Products
2017 Oyster Point Specific Plan Update
South San Francisco, California
Ramboll Environ
Phase I508Commercial ksf1,163
1,042Office/R&D ksf
28Commercial ksf
1,191Residential Unit
22Commercial ksf
Notes:
1
Abbreviations:
R&D - research and development
ksf - thousand square feet
Table 12. Operational Project Trip Generation
2017 Oyster Point Specific Plan Update
South San Francisco, California
PhaseSize MetricUnits Project Trips1
Project trips are assumed to be the net difference between existing conditions (2016) and
with the OPSP Update (2040). Trip generation rates were provided by the Project Applicant.
Phase III and IV
Phase II
3,391
3,535
Ramboll Environ
Adjusted Total
Trips2
Weekday Weekday Weekday
City Park 4.8 acres 1.89 9 0.1%2
Strip Mall 10 ksf 44.32 443 7%82
Office Park 508 ksf 11.42 5,801 93%1,079
Research & Development 1,042 ksf 8.11 8,451 60%2,128
High Turnover (Sit Down Restaurant)5.6 ksf 127.15 712 5%179
Strip Mall 16.8 ksf 44.32 745 5%187
Convenience Market (24 hour)5.6 ksf 737.99 4,133 29%1,041
Apartments Mid Rise 330 DU 6.65 2,195 17%593
Condo/Townhouse 150 DU 5.81 872 7%235
High Turnover (Sit Down Restaurant)5.5 ksf 127.15 699 6%189
Strip Mall 2.75 ksf 44.32 122 1%33
Convenience Market (24 hour)2.75 ksf 737.99 2,029 16%548
Apartments Mid Rise 365 DU 6.65 2,427 19%656
Condo/Townhouse 346 DU 5.81 2,010 16%543
High Turnover (Sit Down Restaurant)2.2 ksf 127.15 280 2%76
Strip Mall 6.6 ksf 44.32 293 2%79
Convenience Market (24 hour)2.2 ksf 737.99 1,624 13%439
Notes:
1
2
Abbreviations:
CalEEMod® - California Emissions Estimator Model
DU - dwelling unit
ksf - thousand square feet
Phase II
Phase III
Phase IV
Adjusted total trips are calculated by multiplying the percent of trips in each phase group by the trips for that phase group shown in Table 12.
Trip generation data was provided for three "phase groups": data for Phase I, Phase II, and data for the sum of Phases III and IV. Weekday trip rates were used to
determine the percent of trips in the phase group, because traffic data was received in terms of weekday trips.
Phase I
Table 13. Adjusted Weekday CalEEMod Default Trip Generation Rates
2017 Oyster Point Specific Plan Update
South San Francisco, California
Phase UnitsCalEEMod® Land Use Subtype Size Metric
CalEEMod® Default
Trip Generation Rates
Percent of
Trips in Phase
Group1
CalEEMod®
Default Total
Trips
Ramboll Environ
Weekday Saturday Sunday Weekday Saturday Sunday
City Park 5 acres 9 109 80 0.1%2 20 15
Strip Mall 10 ksf 443 420 204 7%82 78 38
Office Park 508 ksf 5,801 833 386 93%1,079 155 72
Research & Development 1,042 ksf 8,451 1,980 1,157 60%2,128 498 291
High Turnover (Sit Down Restaurant)5.6 ksf 712 887 738 5%179 223 186
Strip Mall 16.8 ksf 745 706 343 5%187 178 86
Convenience Market (24 hour)5.6 ksf 4,133 4,833 4,247 29%1,041 1,217 1,069
Apartments Mid Rise 330 DU 2,195 2,109 1,934 17%593 570 523
Condo/Townhouse 150 DU 872 851 726 7%235 230 196
High Turnover (Sit Down Restaurant)5.5 ksf 699 871 725 6%189 235 196
Strip Mall 2.75 ksf 122 116 56 1%33 31 15
Convenience Market (24 hour)2.75 ksf 2,029 2,374 2,086 16%548 641 564
Apartments Mid Rise 365 DU 2,427 2,332 2,139 19%656 630 578
Condo/Townhouse 346 DU 2,010 1,962 1,675 16%543 530 452
High Turnover (Sit Down Restaurant)2.2 ksf 280 348 290 2%76 94 78
Strip Mall 6.6 ksf 293 277 135 2%79 75 36
Convenience Market (24 hour)2.2 ksf 1,624 1,899 1,669 13%439 513 451
Notes:
1 Weekday trip rates were used to determine the percent of trips in the phase group, because traffic data was received in terms of weekday trips.
2
Abbreviations:
DU - dwelling unit
ksf - thousand square feet
Phase IV
Adjusted total trips are calculated by multiplying the percent of trips in each phase group by the trips for that phase group shown in Table 13. The ratio of default Saturday and Sunday to weekday trips
is used to adjust Saturday and Sunday trips.
CalEEMod® Default Total Trips Percent of
Trips in Phase
Group1
Adjusted Total Trips2
Phase II
Phase III
Phase I
Table 14. Adjusted Total Trips for Project Operation
2017 Oyster Point Specific Plan Update
South San Francisco, California
Phase CalEEMod® Land Use Subtype Units Size
Metric
Ramboll Environ
Weekday Saturday Sunday Weekday Saturday Sunday
City Park 4.8 acres 2 20 15 0.35 4.23 3.11
Strip Mall 10 ksf 82 78 38 8.24 7.82 3.80
Office Park 508 ksf 1,079 155 72 2.12 0.30 0.14
Research & Development 1,042 ksf 2,128 498 291 2.04 0.48 0.28
Apartments Mid Rise 695 DU 1,249 1,200 1,100 1.80 1.73 1.58
Condo/Townhouse 496 DU 779 760 649 1.57 1.53 1.31
High Turnover (Sit Down Restaurant)13.3 ksf 444 553 460 33.37 41.56 34.60
Strip Mall 26.15 ksf 299 284 138 11.45 10.86 5.28
Convenience Market (24 hour)10.55 ksf 2,028 2,371 2,084 192.19 224.77 197.52
Notes:
1 Adjusted total trips are summed by land use from Table 14.
2
Abbreviations:
CalEEMod® - California Emissions Estimator Model
DU - dwelling unit
ksf - thousand square feet
Adjusted trip rates for CalEEMod® are calculated by dividing the total trips by the total land use units. Since trips were evaluated separately for Phase I,
the adjusted trip rates for each land use in Phase I may not match those for Phases II through IV.
II, III, and
IV
I
Adjusted Total Trips1
Adjusted Trip Rates for
CalEEMod® 2
(trips/DU, trips/ksf, or trips/acre)
Table 15. Adjusted Daily Trip Generation Rates for Project Operation
2017 Oyster Point Specific Plan Update
South San Francisco, California
CalEEMod® Land Use Subtype Units Size MetricPhase
Ramboll Environ
PGE 20141,2 Units
CO2 Intensity Factor per Total Energy Delivered 434.9 lbs CO2/MWh delivered
% of Total Energy From Renewables 27%
CO2 Intensity Factor per Total Non-Renewable Energy3 596 lbs CO2/MWh delivered
342.6 lbs CO2/MWh delivered
345.1 lbs CO2e/MWh delivered
Notes:
1
2
3
4
5
6
Abbreviations:
CalEEMod® - California Emissions Estimator Model
CH4 - methane lbs - pounds
CO2 - carbon dioxide N2O - nitrous oxide
CO2e - carbon dioxide equivalents RPS - Renewables Portfolio Standard
GHG - greenhouse gases PGE - Pacific Gas & Electric
IPCC - Intergovernmental Panel on Climate Change USEPA - US Environmental Protection Agency
Estimated Intensity Factor for Total Energy Delivered4,5
Table 16. PG&E Electricity Intensity Factor Derivations
2017 Oyster Point Specific Plan Update
South San Francisco, California
2025 RPS (42.5%)6
Total CO2 emission factor from The Climate Registry for 2014. Available at: https://www.theclimateregistry.org/our-
members/cris-public-reports/. Accessed: September 2017.
Percent of total energy from eligible renewables is from the PGE 2015 Corporate Responsibility Report. Available at:
http://www.pgecorp.com/corp_responsibility/reports/2015/PGE_CRSR_2015.pdf.
The emissions metric presented here is calculated based on the total CO2 intensity factor divided by the percent of
energy delivered from non-renewable sources.
The intensity factor for total energy delivered is estimated by multiplying the percentage of energy delivered from
non-renewable energy by the CO2 emissions per total non-renewable energy metric calculated above. The estimate
provided here and the energy reports issued by PGE assume that renewable energy sources do not result in any CO2
emissions.
Global Warming Potentials (GWP) are based on the IPCC Fourth Assessment Report. CH4 and N2O emission factors
are from the CalEEMod version 2016.3.2 default for PGE and are conservatively assumed not to change from these
estimates. As more renewable energy is integrated into the electricity grid, these intensity factors will also decrease.
The projected 2025 RPS target is based on the State's interim Renewables Portfolio Standard (RPS) targets of 40
percent in 2024 and 45 percent in 2027.
Ramboll Environ
Averaging Time Period Average
Dispersion Coefficient Rural
Model Version AERMOD v16216
Type Volume
Spacing 10 m x 10 m
Release Height1 5 m
Initial Vertical Dimension (IVD)1 1.4 m
Initial Lateral Dimension (ILD)2 4.65 m
Dispersion Coefficient 1 g/s
Variable Emission Factor Scaled for construction hours of 8AM-
4PM
Receptor Height 3
1.80 m for offsite receptors
1.80, 4.8, 7.8, 10.8, 13.8, 16.8, 19.8 m
for onsite receptors
Grid Spacing
25 m x 25 m off-site
10 m x 10 m on-site
25 m fenceline
Surface Data San Francisco International Airport
Upper Air Data Oakland
Notes:
1
2 Center to center distance (10 m) divided by 2.15 per AERMOD User's Guide.
3
Abbreviations:
AERMOD - American Meteorological Society/Environmental Protection Agency Regulatory Model
BAAQMD - Bay Area Air Quality Management District
g - gram
LST - localized significance thresholds
m - meters
s - second
Based on SCAQMD LST methodology. 2008. Available at: http://www.aqmd.gov/docs/default-
source/ceqa/handbook/localized-significance-thresholds/final-lst-methodology-
document.pdf?sfvrsn=2.
Receptor heights for onsite receptors represent different floors/levels of the development.
Table 17. Construction Off-Road Equipment Modeling Input Parameters
2017 Oyster Point Specific Plan Update
South San Francisco, California
Model Control
Settings
Value
Source
Receptors
Meteorology
DescriptionInput
Category
Ramboll Environ
Averaging Time Period Average
Dispersion Coefficient Rural
Model Version AERMOD v16216
Type Volume
Spacing1 25.5 m x 25.5 m (wide segment)
12.7 m x 12.7 m (narrow segment)
Release Height2 4.57 m
Initial Vertical Dimension (IVD)3 2.13 m
Initial Lateral Dimension (ILD)3 11.86 m (wide segment)
5.91 m (narrow segment)
Dispersion Coefficient 1 g/s
Variable Emission Factor Scaled for construction hours of 8AM-
4PM
Receptor Height
1.80 m for offsite receptors
1.80, 4.8, 7.8, 10.8, 13.8, 16.8, 19.8 m
for onsite receptors
Grid Spacing
25 m x 25 m off-site
10 m x 10 m on-site
25 m fenceline
Surface DataSan Francisco International Airport
Upper Air Data Oakland
Notes:
1
2
3
4
Abbreviations:
AERMOD - American Meteorological Society/Environmental Protection Agency Regulatory Model
BAAQMD - Bay Area Air Quality Management District
g - gram
m - meters
s - second
Table 18. Construction Haul Road Modeling Input Parameters
2017 Oyster Point Specific Plan Update
South San Francisco, California
Input
Category DescriptionValue
Model Control
Settings
Source
Receptors4
Meteorology
Receptor heights for onsite receptors represent different floors/levels of the development. The
same receptors were used for construction haul road modeling as for construction off-road
equipment modeling.
The on-site haul route contains two widths, which were modeled by sources with different
parameters.
Initial vertical dimension and initial lateral dimention based on US Environmental Protection
Agency haul road guidance. Available at:
https://www3.epa.gov/scram001/reports/Haul_Road_Workgroup-Final_Report_Package-
20120302.pdf
Release height consistent with BAAQMD recommendation. Available at:
http://www.baaqmd.gov/~/media/files/planning-and-research/ceqa/ceqa-hra-guidelines-
statewide-workshops-4-28-10.pdf
Ramboll Environ
Averaging Time Period Average
Dispersion Coefficient Rural
Model Version AERMOD v16216
Stack Height1 7.56 m
Stack Temperature1 708.15 K
Stack Velocity1 45.40 m/s
Stack Diameter1 0.24 m
Variable Emission Factor No scaling since generators can be used at any
time
Receptor Height2 1.80, 4.8, 7.8, 10.8, 13.8, 16.8, 19.8 m for onsite
receptors
Grid Spacing 25 m x 25 m
Surface Data San Francisco International Airport
Upper Air Oakland
Notes:
1
2
Abbreviations:
AERMOD - American Meteorological Society/Environmental Protection Agency Regulatory Model
BAAQMD - Bay Area Air Quality Management District
K - Kelvin
m - meters
s - second
Source parameters correspond to the onsite emergency generators and are based on a technical
memorandum to BAAQMD from Sonoma Technology Inc (2011).
Receptor heights for onsite receptors represent different floors/levels of the development.
Model Control
Settings
Source
Receptors
Meteorology
Table 19. Operational Modeling Input Parameters
2017 Oyster Point Specific Plan Update
South San Francisco, California
Input
Category Description Value
Ramboll Environ
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Ramboll Environ
Cancer Potency Factor1 Chronic Noncancer Reference
Exposure Level1
(mg/kg body weight-day)-1 (µg/m³)
Diesel Particulate
Matter PM10 1.15
Notes:
1
2
Abbreviations:
kg - kilograms
mg - milligrams
OEHHA - Office of Environmental Health Hazard Assessment
PM10 - particulate matter less than 10 micrometers in diameter
µg/m3 - micrograms per cubic meter
Chronic reference exposure level from OEHHA, 2015. Available at
https://oehha.ca.gov/air/general-info/oehha-acute-8-hour-and-chronic-reference-exposure-
level-rel-summary. Accessed: September 2017.
Cancer potency factor from OEHHA, 2015. Available at
https://oehha.ca.gov/media/CPFs042909.pdf.
Table 22. Toxicity Values
2017 Oyster Point Specific Plan Update
South San Francisco, California
ChemicalAlias
Ramboll Environ
Age Sensitivity Factor1
(unitless)
Third Trimester 10
0-2 10
2-16 3
Notes:
1
References:
OEHHA. 2015. The Air Toxics Hot Spots Program Guidance Manual for Preparation
of Health Risk Assessments. August.
Cal/EPA. 2009. Technical Support Document for Cancer Potency Factors:
Methodologies for Derivation, Listing of Available Values, and Adjustment to Allow
for Early Life Stage Exposures. May.
Age
Age sensitivity factors account for an “anticipated special sensitivity to carcinogens”
of infants and children as recommended in the OEHHA Technical Support Document
(Cal/EPA 2009) and current OEHHA guidance (OEHHA 2015). This approach is
consistent with the cancer risk adjustment factor calculations recommended by
BAAQMD (BAAQMD 2016).
Table 23. Age Sensitivity Factors
2017 Oyster Point Specific Plan Update
South San Francisco, California
BAAQMD. 2016. Air Toxics NSR Program Health Risk Screening Analysis (HRSA)
Guidelines. December.
Ramboll Environ
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Ramboll Environ
Table 26. Construction CAP Emissions (Unmitigated)
2017 Oyster Point Specific Plan Update
South San Francisco, California
ROG NOx PM10 PM25
Demolition 20184.1452.12.0
Site Preparation20210.7510.10.330.30
20211.19.40.440.44
20221.08.90.400.40
20221.5200.480.47
20231.2150.360.35
20174.8612.42.3
20184.2542.11.9
Grading & Utility Construction20181.3190.540.50
Paving & Street Improvements20180.365.80.140.13
Landscape Improvements20180.263.10.110.10
Phase III Site Preparation20180.283.60.140.13
Phase IV Site Preparation20190.253.00.120.11
20181.4150.560.54
20191.2140.490.48
20201.0120.410.40
20191.1120.470.46
20201.01110.410.40
20210.91100.360.35
20191.6150.630.62
20201.4140.550.54
20211.2120.460.45
20221.1100.390.39
20230.988.60.330.33
20231.08.80.340.33
20240.938.20.300.29
20250.877.70.260.25
ROGNOx PM10 PM2.5
20174.8 61 2.42.3
201812 145 5.75.3
20194.1441.71.7
20203.5371.41.3
20214.0421.61.5
20223.7381.31.3
20233.2321.01.0
20240.938.20.300.29
20250.877.70.260.25
BAAQMD
Threshold 54548254
Notes:
1.
Abbreviations:
BAAQMD - Bay Area Air Quality Management District PM10 - particulate matter less than 10 microns
CAP - criteria air pollutants PM2.5 - particulate matter less than 2.5 microns
lb - pound ROG - reactive organic gases
NOx - nitrogen oxides
Phase III &
IV - Grading,
Utilities,
Landscape,
Site
Preparation
Phase III
PhaseYear
Foundation
Building Construction
Year
Phase IV
Emissions1
Average lb/day
Emissions are averaged over the year.
Phase II
Building Construction Apartments
Building Construction Condos
Building Construction Apartments
Building Construction Condos 1
Building Construction Condos 2
Summary of Emissions by Year
Average lb/day
Demolition
Project
Component
Ramboll Environ
ROG NOx PM10 PM25
Demolition20180.574.00.080.08
Site Preparation20210.202.880.030.03
20210.345.30.030.03
20220.355.50.040.03
20220.9160.130.12
20230.63120.060.05
20171.1180.250.24
20181.01170.220.21
Grading & Utility Construction20180.529.60.110.11
Paving & Street Improvements20180.173.00.040.04
Landscape Improvements20180.080.370.0090.009
Phase III Site Preparation20180.060.590.0090.009
Phase IV Site Preparation20190.040.320.0050.005
20180.527.00.090.09
20190.496.70.080.08
20200.435.90.070.06
20190.385.20.060.06
20200.354.80.050.05
20210.344.60.050.05
20190.568.00.080.08
20200.527.50.070.07
20210.487.00.060.06
20220.395.70.050.05
20230.365.10.040.04
20230.375.20.040.04
20240.365.10.040.04
20250.355.00.040.04
ROGNOx PM10 PM2.5
20171.1180.250.24
20182.9420.560.54
20191.5200.230.22
20201.3180.190.18
20211.4200.180.17
20221.6280.210.20
20231.4230.130.13
20240.365.10.040.04
20250.355.00.040.04
BAAQMD
Threshold 54548254
Notes:
1.
Abbreviations:
BAAQMD - Bay Area Air Quality Management District PM10 - particulate matter less than 10 microns
CAP - criteria air pollutants PM2.5 - particulate matter less than 2.5 microns
lb - pound ROG - reactive organic gases
NOx - nitrogen oxides
Table 27. Construction CAP Emissions (Mitigated)
2017 Oyster Point Specific Plan Update
South San Francisco, California
Emissions are averaged over the year. Equipment is mitigated with Tier 4 Final equipment.
Summary of Emissions by Year
Average lb/day
Phase IIFoundation
Building Construction
Phase III &
IV - Grading,
Utilities,
Landscape,
Site
Preparation
Demolition
Phase III
Building Construction Apartments
Building Construction Condos
Year
Phase IV
Building Construction Apartments
Building Construction Condos 1
Building Construction Condos 2
Emissions1
Average lb/day
Project
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Ramboll Environ
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CH4 CO2 CO2e1
Demolition 201850186,248187,489
Site Preparation202120117,969118,458
202118194,634195,089
20227.682,95383,143
2022752,674,2642,676,139
202320710,704711,198
20178.357,29657,503
201841283,050284,084
Grading & Utility Construction201858578,246579,702
Paving & Street Improvements201820164,441164,952
Landscape Improvements201827104,195104,877
Phase III Site Preparation20189.351,66051,894
Phase IV Site Preparation20197.238,72738,907
201860862,820864,313
20191001,471,3481,473,849
20205.683,51283,653
201939438,634439,621
2020981,102,6141,105,069
202142472,018473,059
201966846,600848,239
20201181,541,2671,544,206
202125325,910326,524
20221101,125,9891,128,744
202395974,225976,590
202316161,760162,153
20241101,136,1761,138,926
202574770,249772,100
CH4 CO2 CO2e1
20170.0042626
20180.121,0121,015
20190.101,2681,270
20200.101,2371,240
20210.05504505
20220.091,7611,764
20230.06838839
20240.05515517
20250.03349350
Total 0.607,5107,525
Notes:
1.
Abbreviations:
BAAQMD - Bay Area Air Quality Management District CO2e - carbon dioxide equivalent
CH4 - methane lb - pound
CO2 - carbon dioxide MT - metric ton
References:
Phase III
Building Construction Apartments
Building Construction Condos
Phase IV
Building Construction Apartments
Building Construction Condos 1
Building Construction Condos 2
Table 29. Construction GHG Emissions
2017 Oyster Point Specific Plan Update
South San Francisco, California
Emissions
Intergovernmental Panel on Climate Change (IPCC). 2007. Fourth Assessment Report. Available at:
https://www.ipcc.ch/publications_and_data/publications_ipcc_fourth_assessment_report_synthesis_report.htm
lb/year
Phase IIFoundation
Project
Component PhaseYear
Building Construction
CO2e are calculated using the 100-Year Global Warming Potentials from IPCC Fourth Assessment Report (FAR
or AR4). N2O is expected to be a very minor contributor to total mobile GHGs and was not quantified.
Phase III & IV -
Grading,
Utilities,
Landscape, Site
Preparation
Demolition
Year
GHG Emissions
MT/year
Ramboll Environ
CO2e
(MT/yr)
Area 62.8
Natural Gas Use 2,444
Electricity Use 3,837
Mobile 3,914
Stationary1 58
Water Use 1,345
Waste Disposed 425
Sub-Total 12,029
Vegetation2 -1.2
Construction Amortized2 188
Total 12,216
Phase II-IV Service Population3 5,001
Emissions per Service Population, Phases II-IV 2.4
Phase I Emissions4 3,788
Phase I Service Population5 1,433
Emissions per Service Population, Phases I-IV 2.5
BAAQMD 2020 Service Population Target (MT CO2e/SP/yr)4.6
Meets Service Population Target?Yes
BAAQMD Stationary Source Threshold (MT CO2e/yr)10,000
Under Threshold Yes
Notes:
1
2
3
4
5
Abbreviations:
BAAQMD - Bay Area Air Quality Management District
CEQA - California Environmental Quality Act
GHG - greenhouse gas
sqft - square feet
tpy - tons per year
References:
BAAQMD. 2017. California Environmental Quality Act Air Quality Guidelines. May. Available online at:
www.baaqmd.gov/~/media/files/planning-and-research/ceqa/ceqa_guidelines_may2017-
pdf.pdf?la=en
Category
Table 30. Operational GHG Emissions
2017 Oyster Point Specific Plan Update
South San Francisco, California
GHG Emissions, Phases II-IV
Construction and vegetation amortized over 40 years (assumed lifetime of buildings). For trees, the
CO2e per year from the CalEEMod® output is sequestered over the 20 year active growth period of new
trees, as recommended by the Intergovernmental Panel on Climate Change (IPCC). The one-time loss
in total land use sequestration capacity is subtracted from this total. The negative value indicates CO 2e
emissions sequestration, as opposed to emissions.
Service population per Project applicant is equal to 1.78 residents per dwelling unit and 376 sqft per
Phase II employee, plus 35 employees for Phases III and IV combined.
Phase I service population is from the EIR (Chapter 10: Greenhouse Gas Emissions, page 10-14).
Stationary source GHG emissions are not included in the total per BAAQMD May 2017 CEQA Guidelines
(Section 4.2.1). Rather, they are compared to the separate stationary source threshold.
Phase I emissions include the operational GHG emissions recalculated with CalEEMod® (shown in
Appendix A) plus the amortized 979 MT CO2e/yr from construction as presented in the EIR (Chapter
10: Greenhouse Gas Emissions, page 10-13).
MT CO2e/SP/yr - metric tons carbon dioxide equivalent per service population per year
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0.0004
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On
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7
NO Ramboll Environ
Li
f
e
t
i
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x
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s
Ca
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r
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n
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o
n
1
(i
n
a
m
i
l
l
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n
)
(µg/m3)
Ex
i
s
t
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l
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c
e
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d
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s
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o
l
d
?
Y
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N
O
N
O
Ex
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To
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1
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6
4
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d
s
T
h
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s
h
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d
?
N
O
N
O
N
O
Ex
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s
t
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g
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7
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c
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d
s
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d
?
N
O
N
O
N
O
Ex
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d
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T
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s
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?
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O
N
O
N
O
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s
h
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l
d
1
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1
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0
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8
No
t
e
s
:
1
Ab
b
r
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v
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s
:
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s
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3
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t
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k
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a
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y
s
t
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r
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p
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c
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a
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m
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t
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c
a
t
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So
u
r
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e
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On
s
i
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M
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No
n
c
a
n
c
e
r
C
h
r
o
n
i
c
HI
1
Ramboll Environ
Li
f
e
t
i
m
e
E
x
c
e
s
s
Ca
n
c
e
r
R
i
s
k
1
PM2.5 Concentration1
(i
n
a
m
i
l
l
i
o
n
)
(µg/m3)
Ex
i
s
t
i
n
g
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t
a
t
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n
a
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y
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s
1
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0
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0
0
2
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a
d
w
a
y
1
.
6
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0
.
0
3
Pr
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j
e
c
t
O
p
e
r
a
t
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o
n
1
.
9
0
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0
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To
t
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l
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.
0
0
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0
1
0
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0
3
Ex
c
e
e
d
s
T
h
r
e
s
h
o
l
d
?
N
O
N
O
N
O
Ex
i
s
t
i
n
g
S
t
a
t
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o
n
a
r
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y
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.
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0
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Pr
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j
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t
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r
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t
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o
n
3
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7
0
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0
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To
t
a
l
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.
6
0
.
0
0
1
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0
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Ex
c
e
e
d
s
T
h
r
e
s
h
o
l
d
?
N
O
N
O
N
O
Th
r
e
s
h
o
l
d
1
0
0
1
0
0
.
8
No
t
e
s
:
1
Ab
b
r
e
v
i
a
t
i
o
n
s
:
µg
-
m
i
c
r
o
g
r
a
m
HI
-
h
a
z
a
r
d
i
n
d
e
x
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cu
b
i
c
m
e
t
e
r
ME
I
S
R
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m
a
x
i
m
u
m
e
x
p
o
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d
i
n
d
i
v
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d
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a
l
s
e
n
s
i
t
i
v
e
r
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c
e
p
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r
PM
2.
5
-
f
i
n
e
p
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t
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c
u
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t
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m
a
t
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t
a
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s
f
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c
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s
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a
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h
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p
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d
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t
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b
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f
t
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e
c
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l
l
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s
m
a
r
k
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d
w
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t
h
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-
-
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n
o
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k
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t
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r
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t
h
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s
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n
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c
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s
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s
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n
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n
g
t
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l
.
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b
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3
4
.
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p
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r
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t
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u
m
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l
a
t
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s
k
s
a
n
d
H
a
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r
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s
20
1
7
O
y
s
t
e
r
P
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n
t
S
p
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c
i
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c
P
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So
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C
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Sc
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n
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r
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c
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t
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n
So
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r
c
e
1
No
n
c
a
n
c
e
r
C
h
r
o
n
i
c
HI
1
Re
s
i
d
e
n
t
Of
f
s
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t
e
M
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On
s
i
t
e
M
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I
S
R
Ramboll Environ
Ma
x
i
m
u
m
Di
s
t
a
n
c
e
t
o
T
o
x
i
c
En
d
p
o
i
n
t
i
n
R
M
P
2
Di
s
t
a
n
c
e
f
r
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m
Pr
o
j
e
c
t
S
i
t
e
(m
i
l
e
s
)
(
m
i
l
e
s
)
Ha
r
r
y
T
r
a
c
y
W
a
t
e
r
T
r
e
a
t
m
e
n
t
Pl
a
n
t
19
%
A
q
u
e
o
u
s
A
m
m
o
n
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a
L
i
q
u
i
d
S
p
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l
l
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n
d
V
a
p
o
r
i
z
a
t
i
o
n
0
.
2
7
5
5
.
8
N
o
It
'
s
-
I
t
I
c
e
C
r
e
a
m
A
n
h
y
d
r
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u
s
A
m
m
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n
i
a
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i
q
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d
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p
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d
V
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p
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z
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t
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o
n
0
.
4
6
.
8
N
o
So
d
i
u
m
C
y
a
n
i
d
e
0.
1
No
Po
t
a
s
s
i
u
m
C
y
a
n
i
d
e
0.
1
No
Po
t
a
s
s
i
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2.9 Ramboll Environ
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Ramboll Environ
FIGURES
Proposed Site Plan2017 Oyster Point Specific Plan UpdateSouth San Francisco, California
DRAFTED BY: ARW DATE: 2017-11-8
FIGURE1
PROJECT: 03-43613A
0 500 1,000250
Fee t
Legend
Project Phase I O utline
Project Phases II, III, &IV Outlin e
Ph ase I Office
Ph ase II Re se arch &Develop me nt
Ph ase III Ap artmen ts
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Demolition Sources
2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: ARW DATE: 2017-09-15
FIGURE2a
PROJECT: 03-43613A
0 250 500125
Feet
Legend
Project Phases II, III, &IV Outline
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Site Preparation Sources
2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: ARW DATE: 2017-09-15
FIGURE2b
PROJECT: 03-43613A
0 250 500125
Feet
Legend
Project Phases II, III, &IV Outline
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Construction Sources
2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: ARW DATE: 2017-09-15
FIGURE2c
PROJECT: 03-43613A
0 250 500125
Feet
Legend
Project Phases II, III, &IV Outline
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2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: ARW DATE: 2017-09-15
FIGURE2d
PROJECT: 03-43613A
0 250 500125
Feet
Legend
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2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: SBU DATE: 2017-09-11
FIGURE2e
PROJECT: 03-43613A
0 250 500125
Feet
Legend
Project Phases II, III, & IVOutline
^_Phase II Generators
Buildings
Off-Site Receptors for Construction Modeling
2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: SBU DATE: 2017-09-11
FIGURE3a
PROJECT: 03-43613A
0 500 1,000250
Feet
Legend
Project Phases II, III, &IV Outline
Modeled Receptors
On-Site Receptors for Construction Modeling
2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: SBU DATE: 2017-09-11
FIGURE3b
PROJECT: 03-43613A
0 250 500125
Feet
Legend
Project Phase II, III, &IV Outline
On-Site ResidentialReceptors
First OccupiedResidences
Receptors for Emergency Generator Modeling
2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: ARW DATE: 2017-09-15
FIGURE3c
PROJECT: 03-43613A
0 250 500125
Feet
Legend
Project Phases II, III, &IV Outline
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2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: SBU DATE: 2017-09-11
FIGURE4
PROJECT: 03-43613A
0 250 500125
Feet
Legend
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2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: ARW DATE: 2017-09-15
FIGURE5
PROJECT: 03-43613A
0 250 500125
Feet
Legend
Project Phases II, III, &IV Outline
XY MEISR - Chronic HIUnmitigated
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2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: ARW DATE: 2017-09-15
FIGURE6a
PROJECT: 03-43613A
0 250 500125
Feet
Legend
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G
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^_
^_
^_
Off-Site
MEIW*
On-Site
MEIW
On-Site
MEISR
Off-Site
MEISR*
Maximum Exposed Individuals from Emergency Generators
2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: SBU DATE: 2017-09-11
FIGURE
7
PROJECT: 03-43613A
0 250 500125
Feet
Legend
Project Phases II, III, & IVOutline
^_Phase II Generators
Maximum ExposedIndividuals (MEIs)
G Off-Site MEISR*
")Off-Site MEIW*
G On-Site MEISR
")On-Site MEIW
*The off-site MEI cancer risk, chronic HI, andPM2.5 concentration are conservatively setequal to the value at the Project boundary. Therisks would likely be lower farther from the site.
Summary of Toxic Endpoint Distances for Worst-Case RMP Scenarios
2017 Oyster Point Specific Plan Update
South San Francisco, California
DRAFTED BY: ARW DATE: 2017-09-08
FIGURE
8
PROJECT: 03-43613A
0 5,000 10,0002,500
Feet
Legend
Project Site
United Technical Operations
It's-It Ice Cream
Harry Tracy Water Plant
Toxic Endpoint Distance
Note: The toxic endpoint distancesfor SLAC National Accelerator Laboratory and NXEdge are not shown in this figure due to the distantlocation of these two facilities.
Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Ramboll Environ
APPENDIX A:
OPERATIONAL CALEEMOD OUTPUT
CalEEMod® Model Outputs Descriptions
2017 OPSP Update
South San Francisco, California
Operational CalEEMod® Runs
Output
Existing Buildings
Phase I
Phases II-IV
Abbreviations:
CalEEMod® - CALifornia Emissions Estimator MODel
Page 1 of 1 Ramboll Environ
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0
;
R
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s
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p
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g
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a
:
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To
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00
5
Mi
t
i
g
a
t
e
d
1
.
4
0
4
8
3
.
0
0
0
0
e
-
00
5
3.
7
0
0
0
e
-
00
3
0.
0
0
0
0
NB
i
o
-
C
O
2
T
o
t
a
l
C
O
2
C
H
4
N
2
O
C
O
2
e
Ca
t
e
g
o
r
y
to
n
s
/
y
r
MT
/
y
r
Ex
h
a
u
s
t
PM
1
0
PM
1
0
To
t
a
l
Fu
g
i
t
i
v
e
PM
2
.
5
Ex
h
a
u
s
t
PM
2
.
5
PM
2
.
5
To
t
a
l
Bi
o
-
C
O
2
RO
G
N
O
x
C
O
S
O
2
F
u
g
i
t
i
v
e
PM
1
0
20
6
.
2
1
4
5
To
t
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l
1
0
8
.
1
5
2
5
3
.
0
4
9
6
0
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0
7
3
2
2
0
6
.
2
1
4
5
La
n
d
U
s
e
M
g
a
l
t o n
MT
/
y
r
Ge
n
e
r
a
l
L
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g
h
t
In
d
u
s
t
r
y
93
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3
8
5
7
/
0
1
0
8
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1
5
2
5
3
.
0
4
9
6
0
.
0
7
3
2
7.
2
W
a
t
e
r
b
y
L
a
n
d
U
s
e
Un
m
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t
i
g
a
t
e
d
In
d
o
o
r
/
O
u
t
do
o
r
U
s
e
To
t
a
l
C
O
2
C
H
4
N
2
O
C
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2
e
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m
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t
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g
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t
e
d
1
0
8
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1
5
2
5
3
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4
9
6
0
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0
7
3
2
2
0
6
.
2
1
4
5
Ca
t
e
g
o
r
y
t o n
MT
/
y
r
Mi
t
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g
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t
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1
0
8
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1
5
2
5
3
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0
4
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6
0
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0
7
3
2
2
0
6
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2
1
4
5
7.
0
W
a
t
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r
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t
a
i
l
7.
1
M
i
t
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g
a
t
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o
n
M
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a
s
u
r
e
s
W
a
t
e
r
To
t
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l
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2
C
H
4
N
2
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C
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e
0.
0
0
0
0
7
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2
2
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0
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00
3
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2
2
0
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00
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5
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7
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6
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-
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5
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0
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00
5
1.
0
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5
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00
5
To
t
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4
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3
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5
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7
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00
3
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7
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2
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3
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2
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3
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5
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7
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6
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5
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0
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5
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0
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00
5
1.
0
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5
La
n
d
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p
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n
g
3
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4
0
0
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4
3.
0
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00
5
3.
7
0
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e
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00
3
0.
0
0
0
0
8.
2
W
a
s
t
e
b
y
L
a
n
d
U
s
e
Un
m
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t
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g
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t
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U
n
m
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t
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g
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t
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d
1
0
1
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6
4
7
7
6
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0
0
7
2
0
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0
0
0
0
2
5
1
.
8
2
7
9
t o n
MT
/
y
r
M
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t
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g
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t
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d
1
0
1
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6
4
7
7
6
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0
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7
2
0
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0
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0
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2
5
1
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8
2
7
9
8.
0
W
a
s
t
e
D
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t
a
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l
8.
1
M
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t
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g
a
t
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o
n
M
e
a
s
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r
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s
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s
t
e
Ca
t
e
g
o
r
y
/
Y
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r
To
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l
C
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2
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H
4
N
2
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C
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2
e
20
6
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2
1
4
5
To
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l
1
0
8
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5
2
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3
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3
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2
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6
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2
1
4
5
La
n
d
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M
g
a
l
t o n
MT
/
y
r
Ge
n
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r
a
l
L
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g
h
t
In
d
u
s
t
r
y
93
.
3
8
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7
/
0
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0
8
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1
5
2
5
3
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0
4
9
6
0
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0
7
3
2
Mi
t
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g
a
t
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d
In
d
o
o
r
/
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u
t
do
o
r
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s
e
To
t
a
l
C
O
2
C
H
4
N
2
O
C
O
2
e
Fu
e
l
T
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p
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a
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y
p
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10
.
0
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t
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t
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r
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r
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n
d
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m
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c
y
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r
a
t
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r
s
Eq
u
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p
m
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n
t
T
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p
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u
m
b
e
r
H
o
u
r
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/
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y
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9.
0
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p
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l
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f
f
r
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d
Eq
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t
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y
p
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N
u
m
b
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r
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o
u
r
s
/
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y
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25
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To
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2
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8
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t
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s
t o n
MT
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y
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n
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L
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d
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s
t
r
y
50
0
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7
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Mi
t
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2
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t o n
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n
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d
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r
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s
Eq
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u
m
b
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t
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p
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3
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(l
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0
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1
9
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1
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1
7
0
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0
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0
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0
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CH
4
N
2
O
C
O
2
e
Ye
a
r
to
n
s
/
y
r
MT
/
y
r
Fu
g
i
t
i
v
e
PM
2
.
5
Ex
h
a
u
s
t
PM
2
.
5
PM
2
.
5
To
t
a
l
Bi
o
-
C
O
2
N
B
i
o
-
C
O
2
T
o
t
a
l
C
O
2
Un
m
i
t
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g
a
t
e
d
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o
n
s
t
r
u
c
t
i
o
n
RO
G
N
O
x
C
O
S
O
2
F
u
g
i
t
i
v
e
PM
1
0
Ex
h
a
u
s
t
PM
1
0
PM
1
0
To
t
a
l
tb
l
V
e
h
i
c
l
e
T
r
i
p
s
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D
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4
4
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3
2
8
.
2
4
2.
0
E
m
i
s
s
i
o
n
s
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u
m
m
a
r
y
2.
1
O
v
e
r
a
l
l
C
o
n
s
t
r
u
c
t
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o
n
tb
l
V
e
h
i
c
l
e
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r
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p
s
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1
.
8
9
0
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3
5
tb
l
V
e
h
i
c
l
e
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r
i
p
s
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1
1
.
4
2
2
.
1
2
To
t
a
l
C
O
2
C
H
4
N
2
O
C
O
2
e
PM
1
0
To
t
a
l
Fu
g
i
t
i
v
e
PM
2
.
5
Ex
h
a
u
s
t
PM
2
.
5
PM
2
.
5
To
t
a
l
Bi
o
-
C
O
2
N
B
i
o
-
C
O
2
Mi
t
i
g
a
t
e
d
O
p
e
r
a
t
i
o
n
a
l
RO
G
N
O
x
C
O
S
O
2
F
u
g
i
t
i
v
e
PM
1
0
Ex
h
a
u
s
t
PM
1
0
12
6
.
9
9
5
1
2
,
4
3
0
.
0
1
0
5
2,
5
5
7
.
0
0
5
6
8
.
8
9
7
2
0
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0
9
8
9
2
,
8
0
8
.
9
0
7
3
0.
9
1
0
6
0
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0
4
2
4
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9
5
3
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0
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2
4
4
7
0
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0
4
1
9
0
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2
8
6
6
To
t
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l
2
.
0
4
8
2
1
.
0
3
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7
2
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6
9
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4
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0
1
1
6
28
.
8
7
9
5
1
1
0
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3
8
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8
7
9
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5
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3
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7
1
3
1
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0
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W
a
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e
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.
1
1
5
7
0
.
0
0
0
0
9
8
.
1
1
5
7
5
.
7
9
8
5
0
.
0
0
0
0
2
4
3
.
0
7
7
5
0.
0
0
0
0
0
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0
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0
0
0
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0
0
0
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W
a
s
t
e
0.
0
0
0
0
8
0
6
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0
2
3
0
8
0
6
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0
2
3
0
0
.
0
2
8
3
0
.
0
0
0
0
8
0
6
.
7
2
9
9
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9
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0
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6
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9
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-
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3
0.
9
1
7
6
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2
4
4
7
6
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4
7
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e
-
00
3
0.
2
5
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2
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b
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l
e
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1
9
5
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5
6
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00
3
0.
0
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1
,
5
1
3
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7
7
7
1,
5
1
3
.
9
7
7
7
0
.
0
9
5
0
0
.
0
2
6
9
1
,
5
2
4
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3
7
6
9
0.
0
3
5
4
0
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0
3
5
4
0
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0
3
5
4
0
.
0
3
5
4
En
e
r
g
y
0
.
0
5
1
2
0
.
4
6
5
7
0
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3
9
1
2
2
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7
9
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e
-
00
3
0.
0
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9
.
3
4
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00
3
9.
3
4
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0
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3
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9
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00
5
2.
0
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5
2.
0
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5
2.
0
0
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00
5
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e
a
1
.
8
0
2
0
4
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0
0
0
0
e
-
00
5
4.
7
9
0
0
e
-
00
3
0.
0
0
0
0
To
t
a
l
C
O
2
C
H
4
N
2
O
C
O
2
e
Ca
t
e
g
o
r
y
to
n
s
/
y
r
MT
/
y
r
PM
1
0
To
t
a
l
Fu
g
i
t
i
v
e
PM
2
.
5
Ex
h
a
u
s
t
PM
2
.
5
PM
2
.
5
To
t
a
l
Bi
o
-
C
O
2
N
B
i
o
-
C
O
2
2.
2
O
v
e
r
a
l
l
O
p
e
r
a
t
i
o
n
a
l
Un
m
i
t
i
g
a
t
e
d
O
p
e
r
a
t
i
o
n
a
l
RO
G
N
O
x
C
O
S
O
2
F
u
g
i
t
i
v
e
PM
1
0
Ex
h
a
u
s
t
PM
1
0
Qu
a
r
t
e
r
S
t
a
r
t
D
a
t
e
E
n
d
D
a
t
e
M
a
x
i
m
u
m
U
n
m
i
t
i
g
a
t
e
d
R
O
G
+
NO
X
(
t
o
n
s
/
q
u
a
r
t
e
r
)
M
a
x
i
m
u
m
M
i
t
i
g
a
t
e
d
R
O
G
+
N
O
X
(
t
o
n
s
/q
u
a
r
t
e
r
)
Hi
g
h
e
s
t
0.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
0.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
NB
i
o
-
C
O
2
T
o
t
a
l
C
O
2
C
H
4
N
2
0
C
O
2
e
Pe
r
c
e
n
t
Re
d
u
c
t
i
o
n
0.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
Ex
h
a
u
s
t
PM
1
0
PM
1
0
To
t
a
l
Fu
g
i
t
i
v
e
PM
2
.
5
Ex
h
a
u
s
t
PM
2
.
5
PM
2
.
5
To
t
a
l
Bi
o
-
C
O
2
RO
G
N
O
x
C
O
S
O
2
F
u
g
i
t
i
v
e
PM
1
0
0.
0
0
0
0
0
.
0
0
0
0
0
.
0
0
0
0
0
.
0
0
0
0
0
.
0
0
0
0
0
.
0
0
0
0
0.
0
0
0
0
0
.
0
0
0
0
0
.
0
0
0
0
0
.
0
0
0
0
0
.
0
0
0
0
0
.
0
0
0
0
Ma
x
i
m
u
m
0
.
0
0
0
0
0
.
0
0
0
0
0
.
0
0
0
0
0
.
0
0
0
0
Ac
r
e
s
o
f
G
r
a
d
i
n
g
(
S
i
t
e
P
r
e
p
a
r
a
t
i
o
n
P
h
a
s
e
)
:
0
Ac
r
e
s
o
f
G
r
a
d
i
n
g
(
G
r
a
d
i
n
g
P
h
a
s
e
)
:
0
Ac
r
e
s
o
f
P
a
v
i
n
g
:
0
Re
s
i
d
e
n
t
i
a
l
I
n
d
o
o
r
:
0
;
R
e
s
i
d
e
n
t
i
a
l
O
u
t
d
o
o
r
:
0
;
N
o
n
-
Re
s
i
d
e
n
t
i
a
l
I
n
d
o
o
r
:
0
;
N
o
n
-
R
e
s
i
d
e
n
t
i
a
l
O
u
t
d
o
o
r
:
0
;
St
r
i
p
e
d
P
a
r
k
i
n
g
A
r
e
a
:
0
(A
r
c
h
i
t
e
c
t
u
r
a
l
C
o
a
t
i
n
g
–
s
q
f
t
)
0
6
A
r
c
h
i
t
e
c
t
u
r
a
l
C
o
a
t
i
n
g
A
r
c
h
i
t
e
c
t
u
r
a
l
C
o
a
t
i
n
g
4
/
2
4
/
2
0
1
9
4
/
2
3
/
2
0
1
9
5
0
5
P
a
v
i
n
g
P
a
v
i
n
g
3
/
2
7
/
2
0
1
9
3
/
2
6
/
2
0
1
9
5
0
4
B
u
i
l
d
i
n
g
C
o
n
s
t
r
u
c
t
i
o
n
B
u
i
l
d
i
n
g
C
o
n
s
t
r
u
c
t
i
o
n
1
/
3
1
/
2
0
1
8
1
/
3
0
/
2
0
1
8
5
0
3
G
r
a
d
i
n
g
G
r
a
d
i
n
g
1
2
/
2
0
/
2
0
1
7
1
2
/
1
9
/
2
0
1
7
5
0
2
S
i
t
e
P
r
e
p
a
r
a
t
i
o
n
S
i
t
e
P
r
e
p
a
r
a
t
i
o
n
1
2
/
6
/
2
0
1
7
1
2
/
5
/
2
0
1
7
5
0
En
d
D
a
t
e
Nu
m
D
a
y
s
We
e
k
Nu
m
D
a
y
s
P
h
a
s
e
D
e
s
c
r
i
p
t
i
o
n
1
D
e
m
o
l
i
t
i
o
n
D
e
m
o
l
i
t
i
o
n
1
1
/
8
/
2
0
1
7
1
1
/
7
/
2
0
1
7
5
3.
0
C
o
n
s
t
r
u
c
t
i
o
n
D
e
t
a
i
l
Co
n
s
t
r
u
c
t
i
o
n
P
h
a
s
e
Ph
a
s
e
Nu
m
b
e
r
Ph
a
s
e
N
a
m
e
P
h
a
s
e
T
y
p
e
S
t
a
r
t
D
a
t
e
0.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
0.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
NB
i
o
-
C
O
2
T
o
t
a
l
C
O
2
C
H
4
N
2
0
C
O
2
e
Pe
r
c
e
n
t
Re
d
u
c
t
i
o
n
0.
0
0
0
.
0
0
0
.
0
0
0
.
0
0
Ex
h
a
u
s
t
PM
1
0
PM
1
0
To
t
a
l
Fu
g
i
t
i
v
e
PM
2
.
5
Ex
h
a
u
s
t
PM
2
.
5
PM
2
.
5
To
t
a
l
Bi
o
-
C
O
2
RO
G
N
O
x
C
O
S
O
2
F
u
g
i
t
i
v
e
PM
1
0
12
6
.
9
9
5
1
2
,
4
3
0
.
0
1
0
5
2,
5
5
7
.
0
0
5
6
8
.
8
9
7
2
0
.
0
9
8
9
2
,
8
0
8
.
9
0
7
3
0.
9
1
0
6
0
.
0
4
2
4
0
.
9
5
3
0
0
.
2
4
4
7
0
.
0
4
1
9
0
.
2
8
6
6
To
t
a
l
2
.
0
4
8
2
1
.
0
3
0
7
2
.
6
9
4
4
0
.
0
1
1
6
28
.
8
7
9
5
1
1
0
.
0
0
0
5
1
3
8
.
8
7
9
9
2
.
9
7
5
5
0
.
0
7
2
0
2
3
4
.
7
1
3
1
0.
0
0
0
0
0
.
0
0
0
0
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NB
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C
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2
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2
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4
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1
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To
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2
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5
To
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2
3.
1
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g
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3.
2
D
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m
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l
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t
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o
n
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2
0
1
7
Un
m
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t
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g
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2
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1
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2
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5
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2
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5
PM
2
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3.
3
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NB
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5
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B
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0
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0
0
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0
0
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NB
i
o
-
C
O
2
T
o
t
a
l
C
O
2
C
H
4
N
2
O
C
O
2
e
La
n
d
U
s
e
k
B
T
U
/
y
r
to
n
s
/
y
r
MT
/
y
r
Ex
h
a
u
s
t
PM
1
0
PM
1
0
To
t
a
l
Fu
g
i
t
i
v
e
PM
2
.
5
Ex
h
a
u
s
t
PM
2
.
5
PM
2
.
5
To
t
a
l
Bi
o
-
C
O
2
Na
t
u
r
a
l
G
a
s
U
s
e
RO
G
N
O
x
C
O
S
O
2
F
u
g
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t
i
v
e
PM
1
0
NB
i
o
-
C
O
2
T
o
t
a
l
C
O
2
C
H
4
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1
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PM
2
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PM
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5
To
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1
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PM
1
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a
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(
t
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s
/
q
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a
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)
M
a
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m
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M
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d
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G
+
N
O
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(
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Hi
g
h
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t
0.
0
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0
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0
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0
0
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0
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NB
i
o
-
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2
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t
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l
C
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2
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4
N
2
0
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1
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To
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PM
2
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5
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5
PM
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5
To
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2
RO
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To
t
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2
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4
N
2
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2
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a
r
to
n
s
/
y
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MT
/
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PM
1
0
To
t
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l
Fu
g
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t
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v
e
PM
2
.
5
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h
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s
t
PM
2
.
5
PM
2
.
5
To
t
a
l
Bi
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-
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2
N
B
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o
-
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2
Mi
t
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g
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2
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1
0
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0
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3
V
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NB
i
o
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2
T
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t
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C
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2
C
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4
N
2
0
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1
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2
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5
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2
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5
PM
2
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5
To
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Bi
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2
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0
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2
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7
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1
5
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Oyster Point, South San Francisco
Air Quality, Greenhouse Gas, And Health Risk Technical Report
Ramboll Environ
APPENDIX B:
BAAQMD STATIONARY SOURCE RESPONSE
For guidance on conducting a risk & hazard screening, including for roadways & freeways, refer to the District's Risk & Hazard Analysis f Also see the District's Recommended Methods for Screening and Modeling Local Risks and Hazards document.
Contact Name:
Affiliation:
Phone:
Email:
Date of Request 1/30/2017
Project Name:
Address:
City:
County:
Type (residential,
commercial,
mixed use,
industrial, etc.):
Project size (# of
units, or building
square feet):
Distance from
Receptor (feet)
Plant # or Gas
Dispensary #
Facility Name Street Address Screening
Level Cancer
Risk (1)
Screening
Level Hazard
Index (1)
Screening
Level PM2.5
(1)
Permit #s (2)Source #s (2)Fuel Code (3)Type of
Source(s) (4)
HRSA Ap # (5)HRSA Date
(6)
HRSA
Engineer (7)
HRSA Cancer
Risk in a
million
Age
Sensitivity
Factor (8)
HRSA
Adjusted
Cancer Risk
HRSA Chronic
Health (9)
HRSA PM2.5
Risk
Status/Comments
Unknown 18577 HCP BTC, LLC c/o
CBRE
331 OYSTER
POINT
BOULEVARD,
South San
Francisco
1.75 0.003781797 0.00182104 2 diesel
engines
0 low risk. Consider using
screening values.
Unknown 13163 Oncology
Therapeutics
Network
395 OYSTER
POINT BLVD,
SUITE 500, South
San Francisco
7.82 0.015802508 0.0081328 0 plant dismantled
2/28/13.
Unknown 18885 Chamberlin
Associates
180 OYSTER
POINT
BOULEVARD,
South San
Francisco
35.79 0.013 0.008 0 closed. Transferred to
21883 - see below
Unknown 17672 Sanrio, Inc 570 ECCLES
AVENUE, South
San Francisco
3.78 0.001 0.001 0 low risk. Consider using
screening values.
Unknown 13163 Oncology
Therapeutics
Network
395 OYSTER
POINT BLVD,
SUITE 500, South
San Francisco
7.82 0.015802508 0.0081328 0 low risk. Consider using
screening values.
Unknown 17355 VaxGen, Inc 349 OYSTER
POINT
BOULEVARD,
South San
Francisco
18.48 0.007 0.033 0 new plant #20986: 20986
closed 10/25/15. no risk
San Mateo
Mixed use
This form is required when users request stationary source data from BAAQMD. This form is to be used with the BAAQMD's Google Earth stationary source
Table B Section 1: Requestor fills out these columns based on Google Earth data Table B Section 2: BAAQMD returns form with additional information in these columns as needed
Bay Area Air Quality Management District
Megan Klevze Sutter
Ramboll Environ
415-426-5016
msutter@ramboll.com
Risk & Hazard Stationary Source Inquiry Form
Table A: Requestor Contact Information
Table B: Stationary Sources
Unknown
Comments:
Oyster Point Area
Oyster Point Blvd
South San Francisco
For Air District assistance,the following steps must be completed:
1.Complete all the contact and project information requested in Table A. Incomplete forms will not be processed. Please include a project site map.
2.Download and install the free program Google Earth, http://www.google.com/earth/download/ge/, and then download the county specific Google
Earth stationary source application files from the District's website, http://www.baaqmd.gov/Divisions/Planning-and-Research/CEQA-
GUIDELINES/Tools-and-Methodology.aspx. The small points on the map represent stationary sources permitted by the District (Map A on right). These
permitted sources include diesel back-up generators, gas stations, dry cleaners, boilers, printers, auto spray booths, etc. Click on a point to view the
source's Information Table, including the name, location, and preliminary estimated cancer risk, hazard index, and PM2.5 concentration.
3.Find the project site in Google Earth by inputting the site's address in the Google Earth search box.
4.Identify stationary sources near the project. Verify that the location of the source on the map matches with the source's address in the Information
Table, by using the Google Earth address search box to confirm the source's address location. Please report any mapping errors to the District.
5.List the stationary source information in Table B Section 1 below.
6.Note that a small percentage of the stationary sources have Health Risk Screening Assessment (HRSA) data INSTEAD of screening level data. These
sources will be noted by an asterisk next to the Plant Name (Map B on right). If HRSA values are presented, these values have already been modeled
and cannot be adjusted further.
7.Email this completed form to District staff. District staff will provide the most recent risk, hazard, and PM2.5 data that are available for the source(s).
If this information or data are not available, source emissions data will be provided. Staff will respond to inquiries within three weeks.
Note that a public records request received for the same stationary source information will cancel the processing of your SSIF request.
Submit forms, maps, and questions to Alison Kirk at 415-749-5169, or akirk@baaqmd.gov .
Distance from
Receptor (feet)
Plant # or Gas
Dispensary #
Facility Name Street Address Screening
Level Cancer
Risk (1)
Screening
Level Hazard
Index (1)
Screening
Level PM2.5
(1)
Permit #s (2)Source #s (2)Fuel Code (3)Type of
Source(s) (4)
HRSA Ap # (5)HRSA Date
(6)
HRSA
Engineer (7)
HRSA Cancer
Risk in a
million
Age
Sensitivity
Factor (8)
HRSA
Adjusted
Cancer Risk
HRSA Chronic
Health (9)
HRSA PM2.5
Risk
Status/Comments
Table B Section 1: Requestor fills out these columns based on Google Earth data Table B Section 2: BAAQMD returns form with additional information in these columns as needed
Table B: Stationary Sources
Unknown 16328 Monogram
Biosciences
345 OYSTER
POINT
BOULEVARD,
South San
Francisco
17.86 0.007 0.032 see attached 0 consider using screening
values. Also see
emissions data attached
Unknown 16780 diaDexus, Inc 343 OYSTER
POINT
BOULEVARD,
South San
Francisco
15.3 0.005 0.004 0 closed 11/4/11. No risk.
Unknown 19530 ARE-Technology
Center SSF, LLC
341 OYSTER
POINT
BOULEVARD,
South San
Francisco
1.49 0.001 0 2 diesel gens 0 low risk. Consider using
screening values.
Unknown G11924 Oyster Point
Marina
671 Marina
Boulevard, South
San Francisco
*16.6 0.08 na gas station 0 * screening values from
2014 screening numbers
(not available on
webpage yet.) Consider
using screening values
with gas station distance
calculator.
Unknown 13868 City of SSF Water
Quality Plant
383 OYSTER
POINT
BOULEVARD,
South San
Francisco
14.7 0.005 0.026 1 diesel gen 0 consider using screening
values. Also see
emissions data attached
Unknown G6044 United Parcel
Service
657 Forbes
Boulevard, South
San Francisco
1.732 0.003 na gas station 0 low risk. Consider using
screening values.
Unknown 13865 City of SSF Water
Quality Plant
701 FORBES
BOULEVARD,
South San
Francisco
18.27 0.006 0.004 1 diesel gen 0 Consider using screening
values.
Unknown 16576 Equity Office
Properties
1000 MARINA
BOULEVARD,
Brisbane
75.3 0.027 0.017 1 diesel gen 0 New plant #23732. See
attached emissions data
Unknown 15664 City of Brisbane -
Harbormaster
400 SIERRA
POINT PKWY,
Brisbane
2.99 0.001 0.001 1 diesel gen 0 low risk. Consider using
screening values.
Unknown 16901 Amgen SF, LLC 1150 VETERANS
BOULEVARD,
South San
Francisco
14.92 0.005 0.027 see attached 0 Consider using screening
values.
Unknown 19143 Myers
Peninusula
Ventures, LLC
ONE TOWER
PLACE, FMR 1200
AIRPORT BLV,
South San
Francisco
4.76 0.002 0.00447 1 diesel gen,
2 registered
NG boilers
0 low risk. Consider using
screening values.
Unknown 19547 Chamberlin
Associates
200 OYSTER
POINT
BOULEVARD,
South San
Francisco
No data No data No data 2 diesel gens 0 new plant # 21883, see
attached emissions data;
consider using emissions
data with Beta Calculator
to calc risk.
Unknown 19453 UCSF / Oyster
Point
616 FORBES
BOULEVARD,
South San
Francisco
No data No data No data 2 diesel gens 0 See attached emissions
data; consider using
emissions data with Beta
Calculator to calc risk.
Distance from
Receptor (feet)
Plant # or Gas
Dispensary #
Facility Name Street Address Screening
Level Cancer
Risk (1)
Screening
Level Hazard
Index (1)
Screening
Level PM2.5
(1)
Permit #s (2)Source #s (2)Fuel Code (3)Type of
Source(s) (4)
HRSA Ap # (5)HRSA Date
(6)
HRSA
Engineer (7)
HRSA Cancer
Risk in a
million
Age
Sensitivity
Factor (8)
HRSA
Adjusted
Cancer Risk
HRSA Chronic
Health (9)
HRSA PM2.5
Risk
Status/Comments
Table B Section 1: Requestor fills out these columns based on Google Earth data Table B Section 2: BAAQMD returns form with additional information in these columns as needed
Table B: Stationary Sources
Unknown 16787 Bayside Area
Development,
LLC
333 ALLERTON
AVENUE, South
San Francisco
88.47 0.031 0.02 1 diesel gen 0 See attached emissions
data
Unknown 13778 UPS Supply Chain
Solutions
455 FORBES
BOULEVARD,
South San
Francisco
26.37 0.009 0.006 0 no risk - plant dismantled
8/25/16
Unknown 17664 Gallo Inc c/o ECM
Group
440 FORBES
BOULEVARD,
South San
Francisco
0 0 0 0 low risk. Consider using
screening values.
Unknown 17169 California Water
Service Co
1520
GRANDVIEW
DRIVE, South San
Francisco
0.56 0 0 0 low risk. Consider using
screening values.
Unknown 449 Lithotype
Company
333 PT SAN
BRUNO
BOULEVARD,
South San
Francisco
0 0 0.716 see attached 0 See attached emissions
data
Unknown 1257 Genentech, Inc 460 POINT SAN
BRUNO
BOULEVARD,
South San
Francisco
2565.94 0.959 21 see attached 0 See attached emissions
data.
Unknown 21883 Life Technologies 180 OYSTER
POINT
BOULEVARD,
South San
Francisco
2 diesel
engines
Consider using attached
emissions data with Beta
Calculator to calc
screening values.
Footnotes:
c. BAAQMD Reg 11 Rule 16 required that all co-residential (sharing a wall, floor, ceiling or is in the same building as a residential unit) dry cleaners cease use of perc on July 1, 2010.
Date last updated:
5/30/12
a. Sources that only include diesel internal combustion engines can be adjusted using the BAAQMD's Diesel
Therefore, there is no cancer risk, hazard or PM2.5 concentrations from co-residential dry cleaning businesses in the BAAQMD.
4. Permitted sources include diesel back-up generators, gas stations, dry cleaners, boilers, printers, auto spray booths,
6. The date that the HRSA was completed.
7. Engineer who completed the HRSA. For District purposes only.
9. The HRSA "Chronic Health" number represents the Hazard Index.
8. All HRSA completed before 1/5/2010 need to be multiplied by an age sensitivity factor of 1.7.
10. Further information about common sources:
f. Unless otherwise noted, exempt sources are considered insignificant. See BAAQMD Reg 2 Rule 1 for a list of exempt sources.
e. Gas stations can be adjusted using BAAQMD's Gas Station Distance Mulitplier worksheet.
g. This spray booth is considered to be insignificant.
2. Each plant may have multiple permits and sources.
1. These Cancer Risk, Hazard Index, and PM2.5 columns represent the values in the Google Earth Plant Information
3. Fuel codes: 98 = diesel, 189 = Natural Gas.
5. If a Health Risk Screening Assessment (HRSA) was completed for the source, the application number will be listed here.
d. Non co-residential dry cleaners must phase out use of perc by Jan. 1, 2023. Therefore, the risk from these dry cleaners does not need to be factored in
b. The risk from natural gas boilers used for space heating when <25 MM BTU/hr would have an estimated cancer risk of one in a million or
Plant# 16328 Monogram Biosciences
345 Oyster Point Boulevard
South San Francisco, CA 94080
[C]urrent, [A]rchive, or [F]uture? c
[P]lant, [S]ource, [A]bate. device, or [E]mis. Point? p
CURRENT Sources:
1 Diesel Engine, Caterpillar model 3512, emergency standby
Standby Diesel engine, 1632 hp, EPA# YCPXL51.8ERK, Caterpillar
C22BG098 /,P1,
2 Diesel Engine, Detroit Diesel model DMT-400D, emergency sta
Standby Diesel engine, 643 hp, Detroit Diesel S/N 08VF174530, 738 cu in
C22BG098 /,P2,
3 Wipe Cleaning Operation, 345 Oyster Point Blvd.
Solvent cleaning, 71.56 gal/yr net solvent, 70 deg F
SF01A157 no train
SF01A179 no train
SF01B105 no train
5 Wipe Cleaning; 347 Oyster Point Blvd.
Solvent cleaning, 3.61 gal/yr net solvent
SF01A105 no train
SF01B179 no train
SF01C201 no train
6 Emergency Standby Diesel Generator
Standby Diesel engine, 755 hp, EPA# 8CEXL015.AAB, Cummins, 912 cu in
C22BG098 /,P3,
No CURRENT Abatement Devices
CURRENT Emission Points:
1 train: ,S1,/
2 train: ,S2,/
3 train: ,S6,/
BAY AREA AIR QUALITY MANAGEMENT DISTRICT Printed: FEB 8, 2017
DETAIL POLLUTANTS - ABATED
MOST RECENT P/O APPROVED (2016)
Monogram Biosciences (P# 16328)
S# SOURCE NAME
MATERIAL SOURCE CODE
THROUGHPUT DATE POLLUTANT CODE LBS/DAY
-------------------------------------------------------------------------------
1 Diesel Engine, Caterpillar model 3512, emergency standby
C22BG098
Benzene 41 3.36E-05
Formaldehyde 124 2.78E-06
Organics (other, including 990 3.93E-04
Arsenic (all) 1030 2.92E-08
Beryllium (all) pollutant 1040 1.71E-08
Cadmium 1070 7.31E-08
Chromium (hexavalent) 1095 1.51E-09
Lead (all) pollutant 1140 6.20E-08
Manganese 1160 9.73E-08
Nickel pollutant 1180 1.18E-06
Mercury (all) pollutant 1190 2.07E-08
Diesel Engine Exhaust Part 1350 7.30E-04
PAH's (non-speciated) 1840 1.54E-07
Nitrous Oxide (N2O) 2030 8.99E-06
Nitrogen Oxides (part not 2990 1.33E-02
Sulfur Dioxide (SO2) 3990 1.10E-05
Carbon Monoxide (CO) pollu 4990 2.79E-03
Carbon Dioxide, non-biogen 6960 1.12E+00
Methane (CH4) 6970 4.50E-05
2 Diesel Engine, Detroit Diesel model DMT-400D, emergency stan
C22BG098
Benzene 41 1.09E-05
Formaldehyde 124 9.06E-07
Organics (other, including 990 5.29E-04
Arsenic (all) 1030 9.53E-09
Beryllium (all) pollutant 1040 5.59E-09
Cadmium 1070 2.38E-08
Chromium (hexavalent) 1095 4.93E-10
Lead (all) pollutant 1140 2.02E-08
Manganese 1160 3.17E-08
Nickel pollutant 1180 3.86E-07
Mercury (all) pollutant 1190 6.74E-09
Diesel Engine Exhaust Part 1350 1.05E-04
PAH's (non-speciated) 1840 5.03E-08
Nitrous Oxide (N2O) 2030 2.93E-06
Nitrogen Oxides (part not 2990 7.71E-03
Sulfur Dioxide (SO2) 3990 3.58E-06
Carbon Monoxide (CO) pollu 4990 1.68E-03
Carbon Dioxide, non-biogen 6960 3.67E-01
Methane (CH4) 6970 1.47E-05
3 Wipe Cleaning Operation, 345 Oyster Point Blvd.
SF01A157
Isopropyl alcohol 157 6.40E-02
SF01A179
Methyl alcohol 179 6.48E-02
SF01B105
Ethyl alcohol 105 1.15E+00
5 Wipe Cleaning; 347 Oyster Point Blvd.
SF01A105
Ethyl alcohol 105 6.18E-02
SF01B179
Methyl alcohol 179 3.43E-03
SF01C201
Organic liquid - other/not 201 0.00E+00
6 Emergency Standby Diesel Generator
C22BG098
Benzene 41 1.26E-05
Formaldehyde 124 1.04E-06
Organics (other, including 990 1.75E-04
Arsenic (all) 1030 1.10E-08
Beryllium (all) pollutant 1040 6.43E-09
Cadmium 1070 2.74E-08
Chromium (hexavalent) 1095 5.67E-10
Lead (all) pollutant 1140 2.33E-08
Manganese 1160 3.65E-08
Nickel pollutant 1180 4.43E-07
Mercury (all) pollutant 1190 7.75E-09
Diesel Engine Exhaust Part 1350 5.98E-05
PAH's (non-speciated) 1840 5.78E-08
Nitrous Oxide (N2O) 2030 3.37E-06
Nitrogen Oxides (part not 2990 3.58E-03
Sulfur Dioxide (SO2) 3990 4.11E-06
Carbon Monoxide (CO) pollu 4990 3.59E-04
Carbon Dioxide, non-biogen 6960 4.22E-01
Methane (CH4) 6970 1.69E-05
PLANT TOTAL:
lbs/day Pollutant
4.97E-08 Arsenic (all) (1030)
5.71E-05 Benzene (41)
2.92E-08 Beryllium (all) pollutant (1040)
1.24E-07 Cadmium (1070)
1.91E+00 Carbon Dioxide, non-biogenic CO2 (6960)
4.83E-03 Carbon Monoxide (CO) pollutant (4990)
2.57E-09 Chromium (hexavalent) (1095)
8.95E-04 Diesel Engine Exhaust Particulate Matter (1350)
1.21E+00 Ethyl alcohol (105)
4.73E-06 Formaldehyde (124)
6.40E-02 Isopropyl alcohol (157)
1.05E-07 Lead (all) pollutant (1140)
1.66E-07 Manganese (1160)
3.52E-08 Mercury (all) pollutant (1190)
7.65E-05 Methane (CH4) (6970)
6.83E-02 Methyl alcohol (179)
2.01E-06 Nickel pollutant (1180)
2.46E-02 Nitrogen Oxides (part not spec elsewhere) (2990)
1.53E-05 Nitrous Oxide (N2O) (2030)
0.00E+00 Organic liquid - other/not spec (201)
1.10E-03 Organics (other, including CH4) (990)
2.62E-07 PAH's (non-speciated) (1840)
1.87E-05 Sulfur Dioxide (SO2) (3990)
Distance meters Distance feet Distance adjustment multiplier Enter Risk or Hazard Adjusted Risk or Hazard Enter PM2.5 Concentration Adjusted PM2.5 Concentration
25 82 0.85 0 0
30 98 0.73 0 0
35 115 0.64 0 0
40 131 0.58 0 0
50 164 0.5 0 0
60 197 0.41 0 0
70 230 0.31 0 0
80 262 0.28 0 0
90 295 0.25 0 0
100 328 0.22 0 0
110 361 0.18 0 0
120 394 0.16 0 0
130 426 0.15 0 0
140 459 0.14 0 0
150 492 0.12 0 0
160 525 0.1 0 0
180 590 0.09 0 0
200 656 0.08 0 0
220 722 0.07 0 0
240 787 0.06 0 0
260 853 0.05 0 0
280 918 0.04 0 0