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利用离线气溶胶质谱仪等技术解析中国扬州气溶胶的特性及其来源。

Aerosol characteristics and sources in Yangzhou, China resolved by offline aerosol mass spectrometry and other techniques.

机构信息

Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Engineering Technology Research Center of Environmental Cleaning Materials, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Engineering Technology Research Center of Environmental Cleaning Materials, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.

出版信息

Environ Pollut. 2017 Jun;225:74-85. doi: 10.1016/j.envpol.2017.03.044. Epub 2017 Mar 26.

Abstract

Detailed chemical characterization of fine aerosols (PM) is important for reducing air pollution in densely populated areas, such as the Yangtze River Delta region in China. This study systematically analyzed PM 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 PM 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.

摘要

详细的大气细颗粒物(PM)化学特征分析对于减少中国长三角等人口密集地区的空气污染非常重要。本研究使用一系列技术,特别是 Aerodyne soot particle aerosol mass spectrometry(SP-AMS),对 2015 年 11 月至 2016 年 4 月在城市扬州采集的 PM 样本进行了系统分析。这里使用的技术重构了大部分总 PM 测量值,其中提取的物质平均占 91.2%。无机成分的源分析表明,二次硝酸盐、硫酸盐和氯化物是主要成分,而生物质燃烧、煤炭燃烧、交通、工业和附近拆除活动引起的扬尘等主要来源可能对其他成分有贡献。EC 示踪剂法估计有机物质(OM)由 65.4%的二次有机物质(SOM)和 34.6%的一次有机物质(POM)组成,而 SP-AMS 分析表明,OM 由 60.3%的水溶性有机物质(WSOM)和 39.7%的水不溶性有机物质(WIOM)组成。相关分析表明,WSOM 可能富含二次有机物质,而 WIOM 可能主要由一次有机物质组成。我们进一步对 WSOM 进行了正定矩阵因子分析(PMF),并确定了三个主要因素,包括交通、烹饪和生物质燃烧,以及两个次要因素。我们发现,次要因素主导了 WSOM 的质量(68.1%),并且随着 WSOM 浓度的增加,其质量贡献也增加。主要来源对 WSOM 的贡献相对较小,可能是由于其低水溶性,这在未来应进一步研究。总的来说,我们的研究结果提高了对该地区复杂气溶胶源和化学特性的认识。

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