Numerical simulations of sources and transport pathways of different PM2.5 pollution types in Shanghai
YU Zhong-qi1,2, MA Jing-hui1,2, CAO Yu1,2, CHANG Lu-yu1,2, XU Jian-ming1,2, ZHOU Guang-qiang1,2
1. Yangtze River Delta Center for Environmental Meteorology Prediction and Warning, Shanghai 200030, China;
2. Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai 200030, China
Synoptic weather patterns during the moderate and severe PM2.5 pollution processes in Shanghai from 2014 to 2017 were analyzed in the paper. The pollution processes were classified into 3types, i.e., the transport type, the stagnant type and the combined type. The severe PM2.5 pollution events in Shanghai were mostly dominated by the transport type, accounting for 45.8% of total severe pollution events. The FLEXPART model driven by the WRF model with MEIC emissions was used to investigate the meteorological attribution and maintenance mechanisms of air pollution under each weather pattern in this paper. Specifically, the transport type showed 3main pollution transport pathways affected Shanghai, i.e., the eastern pathway (the East China Sea), the middle pathway (Jiangsu coastal area) and the western pathway (Anhui-southern Jiangsu), which mainly occurred 1d before pollution. The stagnant type showed pollution potential source area in Shanghai and its surrounding regions. The combined type showed both apparent transport pathways and potential source area in and nearby Shanghai.
余钟奇, 马井会, 曹钰, 常炉予, 许建明, 周广强. 影响上海PM2.5污染不同源地和路径的数值模拟[J]. 中国环境科学, 2019, 39(1): 21-31.
YU Zhong-qi, MA Jing-hui, CAO Yu, CHANG Lu-yu, XU Jian-ming, ZHOU Guang-qiang. Numerical simulations of sources and transport pathways of different PM2.5 pollution types in Shanghai. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(1): 21-31.
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