基于单颗粒气溶胶质谱技术的源解析新算法

针对现有单颗粒气溶胶质谱技术的颗粒物快速来源解析方法不能提供基于质量浓度单位源解析结果的问题，提出一种新型单颗粒快速源解析算法ArtPMF.选择淮河平原某能源工业城市2021年2~3月的单颗粒质谱监测数据对ArtPMF算法进行应用.结果表明监测期间二次源、工业源、机动车尾气源、燃煤源、扬尘源、生物质燃烧源和烟花燃放源对PM_2.5的贡献占比分别为23%、22%、20%、12%、10%、6%和6%.结合监测点位周边工业企业实际分布方位、气态污染物和气象监测数据等对模型结果评估表明，该模型解析的燃煤源、燃烧源、工业源、机动车尾气源贡献高值的方位分布均符合现场工业企业和功能区划的实际情况，说明该模型结果可信且能够为污染防治提供准确信息支撑.

A new particle source apportionment method based on single particle mass spectrometry dataset

As an important online source apportionment method, apportioning particle matter (PM) sources using single particle mass spectrometry (SPAMS) can't obtain the source contributions based on mass concentration. To solve this problem, a new online source apportionment method ArtPMF is proposed in this work. PM were collected and analyzed by SPAMS from February to March 2021 in an industrial city in Huaihe plain. The ArtPMF model was employed on the SPAMS dataset to quantify the source contributions to PM_2.5. During the observational period, PM_2.5 was contributed by secondary source, industrial source, vehicle exhaust source, coal combustion, crustal dust, biomass burning, and firework source, with contributions of 23%, 22%, 20%, 12%, 10%, 6%, and 6% respectively. The directional distributions of coal combustion, biomass burning, firework source, industrial source and vehicle exhaust source contribution are consistent with the actual situation of industrial enterprises and functional zoning, conforming that the ArtPMF can provide reliable source apportionment supporting for pollution control.