New Prediction Method for Atmospheric Environmental Impact Based on AERSCREEN
Bo Xin, Yinyin Fu, Meng Liu, Feng Ding
Abstract
Bo Xin, Yinyin Fu, Meng Liu, Feng Ding
Abstract
Although prediction model AERMOD has been widely applied for atmospheric impact assessment in China and abroad, the considerable difficulty of getting the hourly surface meteorological data and upper data in one or more years hinders the development of atmospheric environment assessment in China. By coupling with relevant kernel (AERMOD, AERMAP, BPIPPRM) of AERMOD, AERSCREEN can capture the meteorological conditions and concentration results for the worst case without any input of meteorological data. In this paper, a comparison of atmospheric prediction on the flat terrain between AERMOD and AERSCREEN is made by setting several scenarios in condition of different underlying surfaces and source parameters. Then, a new method of atmospheric impact prediction without meteorological data based on AERSCREEN, as well as suggestions, is put forward in the end of the paper.
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Although prediction model AERMOD has been widely applied for atmospheric impact assessment in China and abroad, the considerable difficulty of getting the hourly surface meteorological data and upper data in one or more years hinders the development of atmospheric environment assessment in China. By coupling with relevant kernel (AERMOD, AERMAP, BPIPPRM) of AERMOD, AERSCREEN can capture the meteorological conditions and concentration results for the worst case without any input of meteorological data. In this paper, a comparison of atmospheric prediction on the flat terrain between AERMOD and AERSCREEN is made by setting several scenarios in condition of different underlying surfaces and source parameters. Then, a new method of atmospheric impact prediction without meteorological data based on AERSCREEN, as well as suggestions, is put forward in the end of the paper.
Key concepts: AERMOD, Terrain, Environmental science, Meteorology, Atmospheric dispersion modeling, Geography, Air pollution, Cartography