2005
DOI: 10.1175/jam2228.1
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AERMOD: A Dispersion Model for Industrial Source Applications. Part II: Model Performance against 17 Field Study Databases

Abstract: The performance of the American Meteorological Society (AMS) and U.S. Environmental Protection Agency (EPA) Regulatory Model (AERMOD) Improvement Committee's applied air dispersion model against 17 field study databases is described. AERMOD is a steady-state plume model with significant improvements over commonly applied regulatory models. The databases are characterized, and the performance measures are described. Emphasis is placed on statistics that demonstrate the model's abilities to reproduce the upper e… Show more

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Cited by 196 publications
(115 citation statements)
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“…Predicted results are used to designate for the upper limit of air emission rate of factory, located in the industrial complex. Details of the study and evaluation are as follows: [4]. AERMOD predicts concentration of ambient air quality by explaining a planetary boundary layer of about more than 100 meters during nighttime and up to 1-2 kilometers during daytime.…”
Section: Methodsmentioning
confidence: 99%
“…Predicted results are used to designate for the upper limit of air emission rate of factory, located in the industrial complex. Details of the study and evaluation are as follows: [4]. AERMOD predicts concentration of ambient air quality by explaining a planetary boundary layer of about more than 100 meters during nighttime and up to 1-2 kilometers during daytime.…”
Section: Methodsmentioning
confidence: 99%
“…The DV was calculated for both the observed and predicted values and compared using a DV ratio (predicted DV/observed DV). Design value ratios within a factor of two (0.5-2.0) are considered acceptable for the purpose of regulatory performance evaluation (Table 3) (Perry et al, 2005).…”
Section: Regulatory Model Validationmentioning
confidence: 99%
“…RHC ratios within a factor of two (0.5-2.0) are considered acceptable for the purpose of regulatory performance evaluation (Table 4) (Perry et al, 2005).…”
Section: Regulatory Model Validationmentioning
confidence: 99%
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