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典型文献
Cross-boundary transport and source apportionment for PM2.5 in a typical industrial city in the Hebei Province,China:A modeling study
文献摘要:
Cross-boundary transport of air pollution is a difficult issue in pollution control for the North China Plain.In 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(PM2.5)to the city's high levels of pollution.The Nest Air Quality Prediction Model System(NAQPMS),paired with Weather Research and Forecasting(WRF),was adopted and applied with a spatial resolution of 5 km.During the study period,the mean mass concentrations of PM2.5,SO2,and NO2 were observed to be 132.0,76.1,and 55.5 μg/m3,respectively.The model reproduced the variations in pollutant concentrations in Shahe at an acceptable level.The 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 PM2.5 concentration.This 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(PM2.5≥250 μg/m3).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 PM2.5 in Shahe.The glass factories(where chimney stack heights were normally<70 m)in Shahe contributed 32.1%of the total PM2.5 concentration in Shahe.With an in-crease in PM2.5 concentration,the emissions from glass factories accumulated vertically and narrowed horizontally.At times when pollution levels were severe,the horizontally influ-enced area mainly covered Shahe.Furthermore,sensitivity tests indicated that reducing
文献关键词:
作者姓名:
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 Chemistry,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;Center for Excellence in Regional Atmospheric Environment,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen 361021,China;University of Chinese Academy of Sciences,Beijing 100049,China;College of Earth Sciences,University of Chinese Academy of Sciences,Beijing 100049,China;Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China
引用格式:
[1]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-.Cross-boundary transport and source apportionment for PM2.5 in a typical industrial city in the Hebei Province,China:A modeling study)[J].环境科学学报(英文版),2022(05):465-473
A类:
apportionment,Shahe,midity
B类:
Cross,boundary,PM2,typical,industrial,city,Hebei,Province,China,modeling,study,pollution,difficult,issue,control,North,Plain,In,this,district,City,large,glass,manufactur,was,investigated,clarify,relative,contribution,fine,particulate,matter,high,levels,Nest,Air,Quality,Prediction,Model,System,NAQPMS,paired,Weather,Research,Forecasting,WRF,adopted,applied,spatial,resolution,During,period,mean,mass,concentrations,SO2,NO2,were,observed,respectively,reproduced,variations,acceptable,simulation,online,tagging,revealed,that,pollutants,emitted,within,radius,downtown,contributed,total,This,increased,when,unfavorable,meteorological,conditions,hu,weak,wind,low,planetary,layer,present,such,frequently,associated,severe,from,results,showed,industry,transportation,power,residential,sectors,most,important,sources,factories,where,chimney,stack,heights,normally,With,emissions,accumulated,vertically,narrowed,horizontally,At,times,influ,enced,area,mainly,covered,Furthermore,sensitivity,tests,indicated,reducing
AB值:
0.538182
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