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Proceedings Paper

Modeling of abnormal distribution of air pollution forced by complex terrain
Author(s): Peng Hu; Huailiang Chen; Weimei Jiang
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Paper Abstract

In order to get more accurate air pollution distribution effected by complex terrain such as hilly or mountain areas two models, one is PBL model other is random walk transportation model (Monte Carlo), are developed to simulate air pollutant's concentration distribution. The PBL model is a fine-mesh, higher resolution, three-dimension non-hydrostatic model; higher order turbulence closure scheme is adapted. A wind tunnel experiment for verifying the model's ability is showed that the results of the model accord with the wind tunnel experiment. The outputs of PBL model are inputs of random walk model as the initial meteorological conditions. The case study of modeling a power station air pollution in hilly area in Henan, China expressed in this paper also shows that complex terrain can significantly increase pollution concentration at ground level.

Paper Details

Date Published: 29 August 2005
PDF: 9 pages
Proc. SPIE 5890, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring, 589014 (29 August 2005); doi: 10.1117/12.626963
Show Author Affiliations
Peng Hu, Nanjing Univ. of Information Science & Technology (China)
Henan Provincial Institute of Meteorology (China)
Huailiang Chen, Henan Provincial Institute of Meteorology (China)
Weimei Jiang, Nanjing Univ. (China)


Published in SPIE Proceedings Vol. 5890:
Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring
Hung-Lung Allen Huang; Hal J. Bloom; Xiaofeng Xu; Gerald J. Dittberner, Editor(s)

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