Cross-boundary transport and source apportionment for PM_(2.5) in a typical industrial city in the Hebei Province,China:A modeling study

作     者：Xiaoyong Liu Xiaole Pan Jie Li Xi Chen Hang Liu Yu Tian Yuting Zhang Shandong Lei Weijie Yao Qi Liao Yele Sun Zifa Wang Hong He Xiaoyong Liu;Xiaole Pan;Jie Li;Xi Chen;Hang Liu;Yu Tian;Yu ting Zhang;Shandong Lei;Weijie Yao;Qi Liao;Yele Sun;Zifa Wang;Hong He

作者机构：State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric ChemistryInstitute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Center for Excellence in Regional Atmospheric EnvironmentInstitute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China University of Chinese Academy of SciencesBeijing 100049China College of Earth SciencesUniversity of Chinese Academy of SciencesBeijing 100049China 

出 版 物：《Journal of Environmental Sciences》 (环境科学学报（英文版）)

年 卷 期：2022年第34卷第5期

页      面：465-473页

核心收录：

学科分类：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 work was supported by the National Key R&D Program of China(Grant 2017YFC0209904) National Natural Science Foundation of China(Grant 41877314) 

主　　题：Industrial cities PM_(2.5) Pollution transport Source apportionment 

摘      要：Cross-boundary transport of air pollution is a difficult issue in pollution control for the North China *** this study,an industrial district(Shahe City)with a large glass manufactur-ing sector was investigated to clarify the relative contribution of fine particulate matter(PM_(2.5))to the city s high levels of *** Nest Air Quality Prediction Model System(NAQPMS),paired with Weather Research and Forecasting(WRF),was adopted and applied with a spatial resolution of 5 *** the study period,the mean mass concentrations of PM_(2.5),SO_(2),and NO_(2)were observed to be 132.0,76.1,and 55.5μg/m^(3),*** model reproduced the variations in pollutant concentrations in Shahe at an acceptable *** simulation of online source-tagging revealed that pollutants emitted within a 50-km radius of downtown Shahe contributed 63.4%of the city s total PM_(2.5)*** contribu-tion increased to 73.9±21.2%when unfavorable meteorological conditions(high relative hu-midity,weak wind,and low planetary boundary layer height)were present;such conditions are more frequently associated with severe pollution(PM_(2.5)≥250μg/m^(3)).The contribution from Shahe was 52.3±21.6%.The source apportionment results showed that industry(47%),transportation(10%),power(17%),and residential(26%)sectors were the most important sources of PM_(2.5)in *** glass factories(where chimney stack heights were normally70 m)in Shahe contributed 32.1%of the total PM_(2.5)concentration in *** an in-crease in PM_(2.5)concentration,the emissions from glass factories accumulated vertically and narrowed *** times when pollution levels were severe,the horizontally influ-enced area mainly covered ***,sensitivity tests indicated that reducing emissions by 20%,40%,and 60% could lead to a decrease in themass concentration of PM_(2.5) of of 12.0%,23.8%,and 35.5%,respectively.