An evaluation of source apportionment of fine OC and PM2.5 by multiple methods: APHH-Beijing campaigns as a case study.
An evaluation of source apportionment of fine OC and PM2.5 by multiple methods: APHH-Beijing campaigns as a case study.
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DOI：
10.1039/d0fd00095g
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发表时间：
2020-11
影响因子：
3.4
通讯作者：
Jingsha Xu;D. Srivastava;Xue-fang Wu;S. Hou;T. Vu;Di Liu;Yele Sun;A. Vlachou;Vaios Moschos;G. Salazar;S. Szidat;A. Prévôt;P. Fu;R. Harrison;Zongbo Shi
中科院分区：
文献类型：
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作者：
Jingsha Xu;D. Srivastava;Xue-fang Wu;S. Hou;T. Vu;Di Liu;Yele Sun;A. Vlachou;Vaios Moschos;G. Salazar;S. Szidat;A. Prévôt;P. Fu;R. Harrison;Zongbo Shi
本研究旨在通过多种受体模拟方法，包括基于过滤器的放射性碳（14 C）数据的碳质量平衡模拟，基于过滤器的化学形态数据的化学质量平衡（CMB）和正矩阵因子（PMF）分析，以及气溶胶质谱仪（AMS-PMF）或气溶胶化学形态监测仪（ACSM-PMF）数据的PMF分析，对细颗粒物的源解析进行批判性评估。这些数据是2016年冬季11月10日至12月12日和2017年夏季5月22日至6月24日APHH-北京（中国特大城市大气污染与人类健康）实地观察活动的一部分。14 C分析结果表明，与非化石燃料源相比，化石燃料燃烧对冬季大气含碳气溶胶的贡献占主导地位，这与其他方法的结果一致。一个扩展的Gelencsér（EG）方法，结合14 C数据，以及CMB和AMS/ACSM-PMF方法，产生了一致的源解析化石燃料相关的初级有机碳。CMB和AMS/ACSM-PMF的燃煤、交通和生物质燃烧POC具有可比性。在估计生物质燃烧和烹饪OC时，EG方法存在不确定性。通过不同的方法估计的POC烹饪相关性较差，这表明在区分这种源类型时存在很大的不确定性。不同方法的PM2.5源解析结果存在差异。通过对CMB法、PMF法和AMS/ACSM-PMF法的比较和相关性分析，认为CMB法是北京市气溶胶源解析最完整、最具代表性的方法。结果表明，北京地区细颗粒物主要来源于二次无机离子形成、二次有机物形成、一次燃煤和生物质燃烧排放。
This study aims to critically evaluate the source apportionment of fine particles by multiple receptor modelling approaches, including carbon mass balance modelling of filter-based radiocarbon (14C) data, Chemical Mass Balance (CMB) and Positive Matrix Factorization (PMF) analysis on filter-based chemical speciation data, and PMF analysis on Aerosol Mass Spectrometer (AMS-PMF) or Aerosol Chemical Speciation Monitor (ACSM-PMF) data. These data were collected as part of the APHH-Beijing (Atmospheric Pollution and Human Health in a Chinese Megacity) field observation campaigns from 10th November to 12th December in winter 2016 and from 22nd May to 24th June in summer 2017. 14C analysis revealed the predominant contribution of fossil fuel combustion to carbonaceous aerosols in winter compared with non-fossil fuel sources, which is supported by the results from other methods. An extended Gelencsér (EG) method incorporating 14C data, as well as the CMB and AMS/ACSM-PMF methods, generated a consistent source apportionment for fossil fuel related primary organic carbon. Coal combustion, traffic and biomass burning POC were comparable for CMB and AMS/ACSM-PMF. There are uncertainties in the EG method when estimating biomass burning and cooking OC. The POC from cooking estimated by different methods was poorly correlated, suggesting a large uncertainty when differentiating this source type. The PM2.5 source apportionment results varied between different methods. Through a comparison and correlation analysis of CMB, PMF and AMS/ACSM-PMF, the CMB method appears to give the most complete and representative source apportionment of Beijing aerosols. Based upon the CMB results, fine aerosols in Beijing were mainly secondary inorganic ion formation, secondary organic aerosol formation, primary coal combustion and from biomass burning emissions.