利用在线气溶胶质谱仪(SPAMS)于2019年7月16日至2019年8月31日对南京市溧水区环境空气细颗粒物开展高时间分辨化学成分监测。结果显示，在监测时段内，监测点空气质量细颗粒物(PM2.5)污染较2018年同期变差，PM2.5均值浓度为21.0 μg？m？3。通过对细颗粒物成分分类，最终确定了八类颗粒物。根据对细颗粒物排放源分类分析，PM2.5主要来源于机动车尾气源(34.9%)、扬尘源(20.0%)、工业工艺源(10.1%)。此外，考虑到气象因素，在静稳天气条件下区域内更易发生细颗粒物浓度升高。结合不同风向判断，不同时段PM2.5数量浓度的升高会分别受到机动车尾气源、工业工艺源、扬尘源、燃煤源、生物质燃烧源等不同类型源的排放累积影响，说明溧水区颗粒物来源综合性较强。
Online aerosol mass spectrometer (SPAMS) was used to monitor the chemical composition of fine particles in ambient air in Lishui district in Nanjing with a high time resolution, from July 16th to August 31st, 2019. The results showed that during the monitoring period, fine particulate matter (PM2.5) pollution at the monitoring points became worse than the same period in 2018, with the mean concentration of PM2.5 being 21.0 μg？m？3. Through the classification of fine particulate com-position, eight kinds of particulate matter were finally determined. According to the classification analysis of fine particulate matter emission sources, PM2.5 mainly comes from automobile exhaust source (34.9%), dust source (20.0%) and industrial process source (10.1%). In addition, consid-ering the meteorological factors, higher concentration of fine particulate matter were more likely to happen in the static stable weather conditions. Combined with different wind direction, the increase of PM2.5 concentration in different time periods will be affected by the emission accumulation of different types of sources, such as automobile exhaust source, industrial process source, dust source, coal burning source and biomass combustion source, indicating that the sources of particulate matter in Lishhui district were relatively comprehensive.