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We
have used data from the US
EPA Cumulative Exposure Project <http://ehp.niehs.nih.gov/members/1998/106p245-251woodruff/woodruff-full.html>
to estimate exposure to toxic air pollutants in Cuyahoga County.
The
Cumulative Exposure Project developed a computer model to estimate
outdoor exposure to 148 air toxics, by census tract, for the continental
U.S. The model is based on 1990 emission source inventories, including
background, point, area and mobile sources. An air dispersion model
estimated how far the pollutants travel after emission, based on
wind speed and direction, breakdown of chemicals and secondary formation
of pollutants.
In
addition to the exposure estimates, the Cumulative Exposure Project
developed health effects benchmarks for those chemicals for which
sufficient health data was available. For cancer, the benchmark
is based on one-in-a-million excess cancer deaths from lifetime
exposure.
The
results of the CEP modeling are startling and disturbing. Nationally,
seven air toxics exceeded the cancer benchmark in all 60,000 U.S.
census tracts. Estimated exposure for benzene, formaldehyde and
1,3-butadiene -- mobile source air toxics -- exceed the cancer benchmark
in over 90% of U.S. census tracts.
Some
census tracts in the U.S. had as many as 32 pollutants that exceeded
the cancer benchmark. The average was 14 per census tract.
Our
analysis of the Cumulative Exposure Project data for Cuyahoga County
found 14 air toxics estimated to exceed the cancer benchmark. Four
of these derived primarily from mobile sources. Mobile air toxics
had the highest exceedences of the cancer benchmarks, by far. The
estimated exposures for benzene, formaldehyde and 1,3-butadiene
exceeded the cancer benchmarks by 23 times, 36 times and 86 times,
respectively.
It
is important to note that there are many limitations to this kind
of study. Its estimates have been criticized as being too high because
they are based on out-dated 1990 source data, prior to recent improvement
in air quality. However, our comparison of model estimates with
the Ohio EPA 1996 monitoring data from Cleveland and Cincinnati
found generally good correspondence between the two.
Slides,
Tables and Graphs
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