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http://dx.doi.org/10.7471/ikeee.2020.24.4.1136

A Study on Fine Dust Modeling for Air Quality Prediction  

Yoo, Ji-Hyun (Dept. of Internet Communications, Jangan University)
Publication Information
Journal of IKEEE / v.24, no.4, 2020 , pp. 1136-1140 More about this Journal
Abstract
As air pollution caused by fine dust becomes serious, interest in the spread of fine dust and prediction of air quality is increasing. The causes of fine dust are very diverse, and some fine dust naturally occurs through forest fires and yellow dust, but most of them are known to be caused by air pollutants from burning fossil fuels such as petroleum and coal or from automobile exhaust gas. In this paper, the CALPUFF model recommended by the US EPA is used, and CALPUFF diffusion modeling is performed by generating a wind field through the CALMET model as a meteorological preprocessing program that generates a three-dimensional wind field, which is a meteorological element required by CALPUFF. Through this, we propose a fine dust diffusion modeling and air quality prediction system that reflects complex topography.
Keywords
Fine dust Diffusion Modeling; CALMET; Gaussian Puff Model; CALPUFF; Wind Field;
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  • Reference
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