2020年长沙市PM2.5组分特征及来源解析OACSTPCD
Component characteristics and source apportionments of ambient PM2.5 during 2020 in Changsha
基于2020 年长沙市7 个大气环境在线和离线日均监测数据,分析了PM2.5 化学组分污染特征,并采用正定矩阵因子分析法(Positive Matrix Factorization,PMF)对PM2.5进行了精细化源解析.结果表明:水溶性离子是长沙市PM2.5中最主要的组分,占64.3%,其次是有机物OM(Organic Matter),占26.6%,水溶性离子中的硫酸根离子(SO2-4)、硝酸根离子(NO-3)和铵根离子(NH+4)是最主要组分;PMF模型识别出5 类PM2.5的来源,分别为机动车排放源(36%)、二次生成源(31%)、工业排放源(16%)、生物质燃烧源(9%)和扬尘源(8%);长沙春、秋、冬季分担率最高的排放源是机动车排放,夏季分担率最高的源是二次生成;环保学院二次生成和机动车排放占比最大,为38%和37%,马坡岭机动车排放贡献最大,为42%,高新区环保局二次生成、机动车排放和工业排放三个排放源分担率较为接近,分别为28%、26%和25%.为了进一步控制PM2.5污染,建议长沙市重点控制机动车尾气排放,加快淘汰老旧机动车、推动燃油汽车电动化等,并且对不同季节开展差异化控制措施,秋冬季重点控制机动车尾气,夏季优先控制臭氧等氧化剂,以降低PM2.5二次生成速率.
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.
范茂清;伍乔;谷惠文;黄慧敏;曾鸣
湖南省长沙生态环境监测中心,湖南 长沙 410000长沙卫生职业学院,湖南 长沙 410000长江大学化学与环境工程学院,湖北 荆州 434000湖南省长沙生态环境监测中心,湖南 长沙 410000湖南省长沙生态环境监测中心,湖南 长沙 410000
环境科学
PM2.5PMF模型组分特征来源解析
PM2.5PMF modelComponent characteristicsSource apportionment
《气象与环境学报》 2024 (5)
57-64,8
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.
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