Journal of Atmospheric Pollution
ISSN (Print): 2381-2982 ISSN (Online): 2381-2990 Website: Editor-in-chief: Ki-Hyun Kim
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Journal of Atmospheric Pollution. 2018, 6(1), 1-11
DOI: 10.12691/jap-6-1-1
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Evaluation of the Precision and Accuracy of Multiple Air Dispersion Models

Frank Gronwald1, and Shoou-Yuh Chang1

1North Carolina A&T Civil Engineering Department. Greensboro, NC 27401, USA

Pub. Date: February 10, 2018

Cite this paper:
Frank Gronwald and Shoou-Yuh Chang. Evaluation of the Precision and Accuracy of Multiple Air Dispersion Models. Journal of Atmospheric Pollution. 2018; 6(1):1-11. doi: 10.12691/jap-6-1-1


Determining the level of air pollution is a modern day necessity for government regulators and industrialized sources. Air dispersion models are often used to determine the concentration of a pollutant. However changing conditions and several assumptions made by the models limit their accuracy at various times. The objectives of this research are the evaluation of four different air dispersion models (Gaussian Plume, Variable K Theory, Box, and AFTOX) as well as developing a more efficient method of evaluating air dispersion models. In the process of determining their performance, the change in accuracy was measured through RMSE calculations and the change in precision was measured through calculating the Brier Score. It was found that in the prediction of NO2 Variable K Theory and Gaussian Plume both models produced average reduction of 21.2% of mean RMSE from the other models. The Variable K model also proved to be most precise with a 8.9% lower Brier Score than the next best model.

air dispersion modeling brier score gaussian plume AFTOX Variable K Theory

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