Air Quality Exposure Assessment: Modeling the Impact of DeKalb-Peachtree Airport (PDK) on Surrounding Residential Neighborhoods. Pubblico
Lee, Albert Sang-Kyu (2012)
Published
Abstract
Background: In 2011, DeKalb-Peachtree Airport Director, Mike
Wie, and a citizens'
group, Open DeKalb, Inc., met to discuss concerns about the impact
of the airport on the
health and welfare of the surrounding community. This meeting
resulted in the proposal
to assess the noise and air contaminant exposures experienced by
residential
neighborhoods around PDK airport.
Purpose: This study will (1) model and analyze the impact of
air contaminant exposure
experienced by residential neighborhoods around PDK Airport, (2)
project the impact of
the airport and surrounding highways on the local community using
already existing data
on temperature, air pressure, wind speed, wind direction and other
meteorological
parameters, and (3) aid in the data collection, monitoring and
evaluation of air pollutants
and the impact of these exposures on the surrounding
community.
Methods: We use AERMOD, a U.S. Environmental Protection
Agency regulatory
guideline model, to model the average concentration of NO2 from
various area sources:
PDK airport, I-85 and I-285. A series of analysis was conducted on
a 15 km x 15 km
receptor network grid modeled with each area source using
meteorological data from
2006- 2011. Seasonal averages of hypothetical NO2 emission rates
based on emission
source input calculations were computed and the percent of NO2
concentration
attributable to PDK Airport.
Results: The model showed high concentrations of NO2 at
several receptors located near
I-85 and I-285. The south and southwestern areas of the receptor
network grid had the
highest PDK-attributable percent of NO2 concentrations. However,
the concentrations at
the receptors with the highest PDK-attributable percent of NO2
concentrations were not
high enough for concern about potential health effects due to poor
air quality.
Conclusion: Monitors should be set up in the areas where the
model indicates the highest
concentrations of NO2. The evidence based on the data collected
from monitors could
help support whether there is a need for health concerns due to
poor air quality from
nearby area emission sources.
Table of Contents
Table of Contents
Introduction
................................................................................................................
1
Methods......................................................................................................................
8
Results
........................................................................................................................19
Discussion
..................................................................................................................28
Conclusion
.................................................................................................................33
Works Cited
...............................................................................................................34
Appendix
....................................................................................................................36
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