Abstract
Shenyang City is one of the largest and important industrial cities in the northeast in China which plays an important role in the development of regional economy. With the increasing level of urbanization and industrialization, the air pollution problem has also been frequently appeared in the public sight. In order to better understand the distribution and time-varying of the pollutants in this area. A coupled model of WRF/CALPUFF was chosen to simulate the changing trend of sulfur oxides from 30 January 00 h UTC to 1 January 00 h UTC(winter episode) in 2014. By comparing the two datasets of measured and simulated, a conclusion that the effects of terrain characteristic and wind speed and direction on SO2 are better reproduced by the model than the effects of temperature. Also, the result shows that the WRF/CALPUFF model can reproduce satisfactorily meteorology fields and SO2 changing trend.
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Shi, X., Ma, Y., Wang, Q., Gao, K., Liu, X. (2016). Research on Regional Environmental Pollution Analysis Technology Based on Atmospheric Numerical Model in Shenyang City. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_77
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DOI: https://doi.org/10.1007/978-3-662-49155-3_77
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