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Environ Pollut. 2018 May;236:550-561. doi: 10.1016/j.envpol.2018.01.069.

Assessment of winter air pollution episodes using long-range transport modeling in Hangzhou, China, during World Internet Conference, 2015.

Author information

1
State Key Laboratory of Clean Energy, Department of Energy Engineering, Zhejiang University, Hangzhou, 310027, China.
2
State Key Laboratory of Clean Energy, Department of Energy Engineering, Zhejiang University, Hangzhou, 310027, China. Electronic address: zjulk@zju.edu.cn.
3
Department of Endocrinology Zhejiang Hospital, 310013, Hangzhou, China.
4
School of Earth Sciences, Zhejiang University, Hangzhou, 310027, China.
5
Department of Energy Resources Engineering, Stanford University, United States.

Abstract

A winter air pollution episode was observed in Hangzhou, South China, during the Second World Internet Conference, 2015. To study the pollution characteristics and underlying causes, the Weather Research and Forecasting with Chemistry model was used to simulate the spatial and temporal evolution of the pollution episode from December 8 to 19, 2015. In addition to scenario simulations, analysis of the atmospheric trajectory and synoptic weather conditions were also performed. The results demonstrated that control measures implemented during the week preceding the conference reduced the fine particulate matter (PM2.5) pollution level to some extent, with a decline in the total PM2.5 concentration in Hangzhou of 15% (7%-25% daily). Pollutant long-range transport, which occurred due to a southward intrusion of strong cold air driven by the Siberia High, led to severe pollution in Hangzhou on December 15, 2015, accounting for 85% of the PM2.5 concentration. This study provides new insights into the challenge of winter pollution prevention in Hangzhou. For adequate pollution prevention, more regional collaborations should be fostered when creating policies for northern China.

KEYWORDS:

Air quality; Backward trajectory; Long-range transport; PM(2.5); WRF-Chem

PMID:
29428709
DOI:
10.1016/j.envpol.2018.01.069
[Indexed for MEDLINE]

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