首页|Modelling the effect of local and regional emissions on PM2.5 concentrations in Wuhan,China during the COVID-19 lockdown
Modelling the effect of local and regional emissions on PM2.5 concentrations in Wuhan,China during the COVID-19 lockdown
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国家科技期刊平台
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NSTL
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PM2.5 concentrations in Wuhan,China decreased by 36.0％ between the period prior to the COVID-19 pandemic (1-23 January,2020) and the COVID-lockdown period (24 January to 29 February,2020).However,decreases in PM2.5 concentration due to regional PM2.5 transport driven by meteorological changes,and the relationship between the PM2.5 source and receptor,are poorly understood.Therefore,this study assessed how changes in meteorology,local emissions,and regional transport from external source emissions contributed to the decrease in Wuhan's PM2.5 concentration,using FLEXPART-WRF and WRF-Chem modelling experiments.The results showed that meteorological changes in central China explain up to 22.2％ of the total decrease in PM2.5 concentrations in Wuhan,while the remaining 77.8％ was due to air pollutant emissions reduction.Reduction in air pollutant emissions depended on both local and external sources,which contributed alomst equally to the reduction in PM2.5 concentrations (38.7％ and 39.1％ of the total reduction,respectively).The key emissions source areas affecting PM2.5 in Wuhan during the COVID-lockdown were identified by the FLEXPART-WRF modeling,revealing that regional-joint control measures in key areas accounted for 89.3％ of the decrease in PM2.5 concentrations in Wuhan.The results show that regional-joint control can be enhanced by identifying key areas of emissions reduction from the source-receptor relationship of regional PM2.5 transport driven by meteorology under the background of East Asian monsoon climate change.
COVID-19PM2.5Regional transportEmissions reductionRegional-joint control
BAI Yong-Qing、WANG Ying、KONG Shao-Fei、ZHAO Tian-Liang、ZHI Xie-Fei、ZHENG Huang、SUN Xiao-Yun、HU Wei-Yang、ZHOU Yue、XIONG Jie
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Hubei Key Laboratory for Heavy Rain Monitoring and Warning Research,Institute of Heavy Rain,China Meteorological Administration,Wuhan,430205,China
Key Laboratory of Meteorological Disaster,Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration,Nanjing University of Information Science and Technology,Nanjing,210044,China
Department of Atmospheric Sciences,School of Environmental Studies,China University of Geosciences,Wuhan,430074,China
special project The impact of weather conditions on the spread of pandemic influenza virusfrom Collaborative Innovation Center on Forecast and Evaluation of Meteorological Di-sastersNanjing University of Information Science and Technology,and the National Natural Science Foundation of ChinaNanjing University of Information Science and Technology,and the National Natural Science Foundation of China
国家科技期刊平台
NSTL
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