摘要：通过对2017年12月—2018年1月成都市金牛区大气细颗粒物PM_2.5质量浓度及其组成进行分析,获得含碳组分有机碳-元素碳(OC/EC)、水溶性离子和微量元素等的变化特征,并利用正定矩阵因子分解(PMF)模型进行PM_2.5来源解析。结果表明:2个采样点的含碳组分物质主要来自二次有机碳(OC/EC质量比值均在5.0左右);水溶性离子中首要组分是NO₃^-,表明金牛区受机动车污染影响大;微量元素S、Cl、Cr、Cu、Zn、Ni和Pb均出现较高的富集因子(EF)值,说明已经明显受到人为活动的影响; PM_2.5中二次无机气溶胶(SNA)组分占比接近50%,说明二次气溶胶是PM_2.5中的重要组分;源解析表明首要污染源是二次气溶胶(38.4%,质量分数,下同),其次是交通源(21.2%)、燃煤(15.1%)、生物质燃烧(13.6%)和土壤尘(11.7%)。

关键词：细颗粒物；正定矩阵因子分解模型；滤膜采样；源解析

Abstract: In this paper，by analyzing the PM_2．5 mass concentration and species of atmospheric particulate matter in Jinniu district of Chengdu city from December 2017 to January 2018，we obtained the characteristics of species composition changes such as OC－EC，water-soluble ions and trace elements．PM_2．5 source analysis was performed by the PMF model．The results show that the carbonaceous components of the two sampling points are mainly from secondary organic carbon ( the value of OC/EC is about 5．0) ．The main component of water-soluble ions is NO₃^-，indicating that the ambient air is greatly affected by motor vehicle pollution in Jinniu district．Trace elements of S，Cl，Cr，Cu，Zn，Ni and Pb have higher EF values and obviously affected by human activities．The SNA component in PM_2．5 is close to 50% ，indicating that the secondary aerosol is an important component in PM_2．5 ．Offline PMF source analysis shows that the primary source of pollution is secondary aerosol ( 38．4% ) ，followed by traffic sources ( 21．2% ) ，coal burning ( 15．1% ) ，biomass burning ( 13．6% ) and soil dust ( 11．7% ) ． 

Keywords: fine particulate matter; positive definite matrix factorization model; filter sampling; source apportionment