Modelling the effect of local and regional emissions on PM_(2.5) concentrations in Wuhan, China during the COVID-19 lockdown

作     者：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 

作者机构：Hubei Key Laboratory for Heavy Rain Monitoring and Warning ResearchInstitute of Heavy RainChina Meteorological AdministrationWuhan430205China Key Laboratory of Meteorological DisasterMinistry of Education&Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersKey Laboratory for Aerosol-Cloud-Precipitation of China Meteorological AdministrationNanjing University of Information Science and TechnologyNanjing210044China Department of Atmospheric SciencesSchool of Environmental StudiesChina University of GeosciencesWuhan430074China 

出 版 物：《Advances in Climate Change Research》 (气候变化研究进展（英文版）)

年 卷 期：2021年第12卷第6期

页      面：871-880页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 07[理学] 070602[理学-大气物理学与大气环境] 0706[理学-大气科学] 

基　　金：This research was supported by the special project“The impact of weather conditions on the spread of pandemic influenza virus(2020xtzx004)”from Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science and Technology the National Natural Science Foundation of China(42075186,41830965) 

主　　题：COVID-19 PM_(2.5) Regional transport Emissions reduction Regional-joint control 

摘      要：PM_(2.5) 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 PM_(2.5) concentration due to regional PM_(2.5) transport driven by meteorological changes,and the relationship between the PM_(2.5) source and receptor,are poorly ***,this study assessed how changes in meteorology,local emissions,and regional transport from external source emissions contributed to the decrease in Wuhan s PM_(2.5) concentration,using FLEXPART-WRF and WRF-Chem modelling *** results showed that meteorological changes in central China explain up to 22.2%of the total decrease in PM_(2.5) concentrations in Wuhan,while the remaining 77.8%was due to air pollutant emissions *** in air pollutant emissions depended on both local and external sources,which contributed alomst equally to the reduction in PM_(2.5) concentrations(38.7%and 39.1%of the total reduction,respectively).The key emissions source areas affecting PM_(2.5) 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 PM_(2.5) concentrations in *** results show that regional-joint control can be enhanced by identifying key areas of emissions reduction from the source–receptor relationship of regional PM_(2.5) transport driven by meteorology under the background of East Asian monsoon climate change.