基于单颗粒物质谱的重污染过程颗粒物综合溯源研究

Here we will measure the physical and chemical characteristics of single particles with single particle aerosol mass spectrometer (SPAMS) at a selected urban site and two background sites in or around Beijing. The number size distribution, chemical properties and the mixing status of the single particles will be measured, together with the online observation on ions, OC/EC, sugars, heavy metal and number size distributions of the fine particles. The concentrations of PM and the water soluble ions, OC and EC, elemental composition will also be analyzed based on the bulk PM samples. Mass concentrations of major chemical species will be estimated using the SPAMS, based on linear correlation analysis between the scaled SPAMS and measurements by the Marga as well as the Sunset OCEC analyzer and realtime heavel metal analyzer. Total PM2.5 mass concentrations will be reconstructed from the SPAMS chemical species at the site and evaluated by comparison with measured PM2.5 mass concentrations. An experiment will be designed to study the correlation between the PM physical/chemical characteristics and the origination of air masses, with a focus to establish the relationship between PM and its sources at every stage in the lifetime of typical PM pollution episodes. Then the PM source apportionment methods such as ART-2a, PMF, PCA and a newly developed CMB model will be introduced to identify the contributions from different sources with local or regional characteristics.

以北京及周边为研究对象区域，利用依托典型城市综合观测站和城市背景点的单颗粒物质谱等多种测量方法，针对单颗粒物及全样品颗粒物物化特征开展观测。完善利用单颗粒物数据对不同类别颗粒物分型及混合特征定性的分析方法，采用单颗粒物特征与在线及离线离子测量、碳成分测量、糖类化合物、重金属元素测量、颗粒物数浓度粒径分布测量的对比，建立各种组分与单颗粒测量结果量化关系。利用多种颗粒物源解析算法（ART-2a、PMF、PCA、CMB等）识别主要污染源类，并进一步定量计算不同源类对颗粒物的贡献，建立污染过程中污染源对颗粒物贡献的时间序列，识别和解析重污染过程发生、发展、维持、消散等各阶段颗粒物警兆特征和污染物时空及物化特征，综合考察不同路径、不同来源的气团影响下区域及局地主要污染源对颗粒物浓度增长及化学特征变化的作用。

以北京及周边为研究对象区域，利用依托典型城市综合观测站和城市背景点的单颗粒物质谱等多种测量方法，针对单颗粒物及全样品颗粒物物化特征开展观测。完善利用单颗粒物数据对不同类别颗粒物分型及混合特征定性的分析方法，采用单颗粒物特征与在线及离线离子测量、碳成分测量、重金属元素测量、颗粒物数浓度粒径分布测量的对比，建立各种组分与单颗粒测量结果量化关系。利用多种颗粒物源解析算法（ ART-2a、 PMF、 PCA、 CMB等）识别主要污染源类，并进一步定量计算不同源类对颗粒物的贡献，建立污染过程中污染源对颗粒物贡献的时间序列，识别和解析重污染过程发生、发展、维持、消散等各阶段颗粒物警兆特征和污染物时空及物化特征，综合考察不同路径、不同来源的气团影响下区域及局地主要污染源对颗粒物浓度增长及化学特征变化的作用。