CalEnviroscreen Version 1.1 - OEHHA - State of California

CalEnviroScreen 1.1
asthma symptoms and attacks along with decreases in lung function
(McCreanor et al., 2007; Wargo, 2002).
People that live or work near heavily-traveled roadways, ports,
railyards, bus yards, or trucking distribution centers may experience a
high level of exposure (USEPA, 2002; Krivoshto et al., 2008). People
that spend a significant amount of time near heavily-traveled roadways
may also experience a high level of exposure. A study of U.S. workers
in the trucking industry found an increasing risk for lung cancer with
increasing years on the job (Garshick et al., 2008). The same trend was
seen among railroad workers, who showed a 40% increased risk of lung
cancer (Garshik et al., 2004). Studies have found strong associations
between diesel particulate exposure and exacerbation of asthma
symptoms in asthmatic children who attend school in areas of heavy truck
traffic (Patel et al. 2010, Spira-Cohen et al. 2011). Studies of both men
and women demonstrate cardiovascular effects of diesel PM exposure,
including coronary vasoconstriction and premature death from
cardiovascular disease (Krivoshto et al., 2008).
Exposure to diesel PM, especially following periods of severe air
pollution, can lead to increased hospital visits and admissions due to
worsening asthma and emphysema-related symptoms (Krivoshto et al.,
2008). Diesel exposure may also lead to reduced lung function in
children living in close proximity to roadways (Brunekreef et al., 1997).
Method Gridded diesel PM emissions from on-road sources were calculated as
follows:
o CARB’s on-road emissions model, EMFAC2013, was used to calculate
2010 county-wide estimates of diesel PM emissions for a July
weekday.
http://www.arb.ca.gov/msei/modeling.htm
o EMFAC2013 county-wide emission estimates are spatially distributed
to 4km-by-4km grid cells based on the distribution of regional
vehicle activity represented in local agency transportation networks
and Caltrans’ statewide transportation network (where local agency
data are not available) using the Direct Travel Impact model
(DTIM4). Transportation networks are produced from travel demand
modeling conducted by local agencies and Caltrans.
Gridded diesel PM from non-road sources were calculated as follows:
o County-wide estimates of diesel PM from non-road sources for a July
weekday were extracted from CARB’s emissions inventory
forecasting system, CEPAM.
http://www.arb.ca.gov/app/emsinv/fcemssumcat2009.php
o County-wide emission estimates are spatially distributed to 4km-by-
4km grid cells based on a variety of gridded spatial surrogate
datasets. Each category of emissions is mapped to a spatial
surrogate that generally represents the expected sub-county
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