气象与环境学报2024，Vol.40Issue(5)：57-64,8.DOI:10.3969/j.issn.1673-503X.2024.05.007
2020年长沙市PM2.5组分特征及来源解析
Component characteristics and source apportionments of ambient PM2.5 during 2020 in Changsha
摘要
Abstract
Based on the online and offline daily monitoring data of seven sites in Changsha City in 2020,the chem-ical component pollution characteristics of PM2.5 were analyzed.The positive matrix factorization(PMF)model was used to analyze the source apportionments of PM2.5.The results show that the water-soluble ions in PM2.5 has the highest mass proportion,accounting for 64.3%,followed by organic matter(OM),accounting for 26.6%,SO2-4,NO-3 and NH+4 are the main components in water-soluble ions.The PMF model identified five sources of PM2.5,vehicle exhaust emission source(36% ),secondary formation source(31% ),industrial emission source(16% ),biomass burning source(9% ),and dust source(8% ).The highest proportion at Changsha Environmen-tal Protection College are secondary formation and motor vehicle emissions,reaching 38% and 37%;the contribu-tion of motor vehicle emissions at Mapoling site is the highest,42%;the sharing rates of secondary formation,mo-tor vehicle emissions,and industrial emissions at Environmental Protection Bureau of the High-tech Zone are rela-tively similar,28%,26%,and 25% .In order to further control PM2.5 pollution,it is recommended that Changsha could focus on controlling vehicle exhaust emissions,accelerating the elimination of old motor vehicles,and pro-moting the electrification of fuel vehicles;meanwhile,differentiated control measures should be implemented for different seasons,with focus on controlling vehicle exhaust emissions in autumn and winter;in summer,it is recom-mended to prioritize controlling oxidants such as ozone to reduce the secondary formation rate of PM2.5.关键词
PM2.5/PMF模型/组分特征/来源解析Key words
PM2.5/PMF model/Component characteristics/Source apportionment分类
资源环境引用本文复制引用
范茂清,伍乔,谷惠文,黄慧敏,曾鸣..2020年长沙市PM2.5组分特征及来源解析[J].气象与环境学报,2024,40(5):57-64,8.基金项目
国家自然科学基金项目(42271440)、湖南省重点研发计划项目(2024AQ2004)和湖南省教育厅科学研究项目(22C1474)共同资助. （42271440）
