Aerosol characteristics and sources in Yangzhou, China resolved by offline aerosol mass spectrometry and other techniques
Aerosol characteristics and sources in Yangzhou, China resolved by offline aerosol mass spectrometry and other techniques
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离线气溶胶质谱等技术解析扬州地区气溶胶特征及来源
DOI：
10.1016/j.envpol.2017.03.044
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发表时间：
2017-06-01
影响因子：
8.9
通讯作者：
Chen, Mindong
中科院分区：
文献类型：
--
作者：
Ge, Xinlei;Li, Ling;Chen, Mindong
细颗粒物（PM2.5）的详细化学特征对于减少人口密集地区的空气污染非常重要，例如中国的长江三角洲地区。本研究采用Aerodyne烟尘颗粒气溶胶质谱（SP-AMS）等技术，系统分析了2015年11月至2016年4月在扬州市采集的PM2.5样本。这里使用的技术重建了大部分PM2.5总量，其中提取的物种平均占91.2%。无机组分的来源分析表明，次生硝酸盐、硫酸盐和氯化物是主要的种类，而主要来源包括生物质燃烧、煤炭燃烧、交通、工业和附近拆迁活动引起的再悬浮粉尘，也可能贡献其他种类。ec -示踪法估计有机质（OM）由65.4%的次生OM （SOM）和34.6%的原生OM （POM）组成，而SP-AMS分析表明有机质由60.3%的水溶性OM （WSOM）和39.7%的水不溶性OM （WIOM）组成。相关分析表明，WSOM可能富含次生有机质，而WIOM可能主要由初级有机质组成。进一步对WSOM进行了正矩阵分解（PMF）分析，确定了交通、烹饪和生物质燃烧3个主要因素和2个次要因素。次要因子在WSOM质量中占主导地位（68.1%），其质量贡献随WSOM浓度的增加而增加。一次源对WSOM的贡献相对较小，可能是由于它们的水溶性较低，这需要进一步研究。总的来说，我们的发现提高了对该地区复杂气溶胶来源和化学的理解。(C) 2017 Elsevier Ltd.版权所有。
Detailed chemical characterization of fine aerosols (PM2.5) is important for reducing air pollution in densely populated areas, such as the Yangtze River Delta region in China. This study systematically analyzed PM2.5 samples collected during November 2015 to April 2016 in urban Yangzhou using a suite of techniques, in particular, an Aerodyne soot particle aerosol mass spectrometry (SP-AMS). The techniques used here reconstructed the majority of total PM2.5 measured where extracted species comprised on average 91.2%. Source analyses of inorganic components showed that secondary nitrate, sulfate and chloride were the major species, while primary sources including biomass burning, coal combustion, traffic, industry and re-suspended dust due to nearby demolition activities, could contribute to other species. EC-tracer method estimated that the organic matter (OM) was composed of 65.4% secondary OM (SOM) and 34.6% primary OM (POM), while the SP-AMS analyses showed that the OM was comprised of 60.3% water-soluble OM (WSOM) and 39.7% water-insoluble OM (WIOM). Correlation analyses suggested that WSOM might be rich in secondary organic species, while WIOM was likely mainly comprised of primary organic species. We further conducted positive matrix factorization (PMF) analyses on the WSOM, and identified three primary factors including traffic, cooking and biomass burning, and two secondary factors. We found the secondary factors dominated WSOM mass (68.1%), and their mass contributions increased with the increase of WSOM concentrations. Relatively small contribution of primary sources to WSOM was probably due to their low water solubility, which should be investigated further in future. Overall, our findings improve understanding of the complex aerosol sources and chemistry in this region. (C) 2017 Elsevier Ltd. All rights reserved.