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Air Quality Impact Assessment EES staff has conducted numerous dispersion modeling
studies to evaluate impacts of air pollutants from stationary, mobile and area
sources. EES’s air quality
specialists are experienced in the use of a wide range of computerized air fate
and transport models. Our staff has
conducted modeling studies using the EPA Guideline dispersion models for simple
terrain, such as ISCLT3, ISCST3 PAL, BLP, TSCREEN and SCREEN3.
We have also performed numerous modeling studies for sources in complex
terrain. These studies have
involved the use of both simple and sophisticated complex terrain models
including CXOMPLEX1, RTDM, CTDMPLUS, SHORTZ, LONGZ and VALLEY.
In addition, EES’s staff is proficient in using
specialized models applicable to specific source configurations or accidental
releases of toxic substances (including dense gases) (e.g., DEGADIS and SLAB).
This practical experience is critical to determining the appropriate
model(s) for particular applications and for interpretation of model results.
Model predictions are used directly to evaluate
source compliance with applicable regulatory thresholds and as a component in
air toxic health risk assessments. EES
staff has also been retained to conduct rigorous dispersion model performance
evaluations (e.g., EPA’s AERMOD), as well as focused field studies to obtain
the data needed for such studies. The following presents examples of our projects in
applying, testing and evaluating air quality dispersion models. Evaluation
of Area and Volume Source Dispersion Models American
Petroleum Institute and Chemical Manufacturers Association EES staff conducted a comprehensive evaluation of the performance of available area source and volume source dispersion models for applications involving petroleum and chemical industry sources of air pollutants. The first task identified candidate area and/or volume source models and evaluated their dispersion algorithms in terms of the reasonableness of their representation of the relevant physical processes. The second task has been to identify and evaluate field measurement program data sets that could potentially be used to support a formal performance evaluation of the identified models. Dispersion algorithms from six different models have been evaluated, and data from seven field studies are currently being prepared for the execution of model performance evaluations. Air Dispersion
Modeling UCAR Carbon EES staff conducted multiple emission source air
dispersion modeling for PM-10 and NOx emissions in support of a PSD permit
application. Using EPA’s Buoyant
Line and Point Source model, we simulated potential offsite air concentrations
from 22 point and two line emission sources at 400 receptor locations.
Modeling results indicated no significant deterioration to offsite
receptor locations. |
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