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采用正定矩阵因子模型对生物质燃烧源区的 PM 进行源解析。

Source apportionment of PM by positive matrix factorization model at a source region of biomass burning.

机构信息

Department of Chemical Engineering and Technology, Thapar Institute of Engineering and Technology, Patiala, India.

School of Chemistry and Biochemistry, Thapar Institute of Engineering and Technology, Patiala, India.

出版信息

J Environ Manage. 2020 Jul 15;266:110545. doi: 10.1016/j.jenvman.2020.110545. Epub 2020 Apr 24.

DOI:10.1016/j.jenvman.2020.110545
PMID:32392136
Abstract

To determine the contribution of different particulate sources in PM mass concentration at semi urban site, source apportionment study was carried out from 7 May 2015 to 9 June 2016. PM samples were analyzed for 18 species (NO, SO, Cl,Na, K, Al, Ti, Mn, Fe, Mg, V, Ni, Cu, Zn, Ba, Pb, Cr, Ca). The study was specifically designed to apportion the sources of air pollution where main exposure is from crop residue burning. The particulate matter (PM) samples were analyzed for mass and chemical composition, with Potassium as biomarker for crop residue burning. Sulfate SO) and potassium ion (K) species dominated the concentration of characterized species. K and Cl were identified as reliable markers for crop residue burning while Zn, Pb, Al, Ni and Cu were identified as markers for vehicular exhaust. The results of Positive matrix factorization (PMF) model gives the five major sources as probable sources of PM pollution. The highest contribution in PM mass concentration was found to be sulfate (24.39 ± 10.42), and potassium (24.02 ± 09.56) and chloride (07.07 ± 05.47), which combined accounts for nearly 60% of the total PM mass fraction. The highest source contribution was from Industrial emission source (22.9%), with almost same contribution from biomass burning (21.2%), and resuspended dust (20.7%) and followed by vehicular emissions (19.0%) and least from secondary aerosols (16.2%).

摘要

为了确定半城市地区 PM 质量浓度中不同颗粒物源的贡献,我们于 2015 年 5 月 7 日至 2016 年 6 月 9 日进行了源分配研究。对 PM 样本进行了 18 种物质(NO、SO、Cl、Na、K、Al、Ti、Mn、Fe、Mg、V、Ni、Cu、Zn、Ba、Pb、Cr、Ca)的分析。这项研究专门用于分配空气污染的来源,主要暴露源是农作物残余物燃烧。对颗粒物(PM)样本进行了质量和化学成分分析,以钾作为农作物残余物燃烧的生物标志物。硫酸盐(SO)和钾离子(K)是特征物种浓度的主要成分。K 和 Cl 被确定为农作物残余物燃烧的可靠标志物,而 Zn、Pb、Al、Ni 和 Cu 被确定为机动车尾气的标志物。正定矩阵因子化(PMF)模型的结果给出了五个主要来源,它们可能是 PM 污染的来源。硫酸盐(24.39±10.42)和钾(24.02±09.56)和氯(07.07±05.47)在 PM 质量浓度中的贡献最高,它们共同占总 PM 质量分数的近 60%。工业排放源(22.9%)的贡献最高,几乎与生物质燃烧(21.2%)相同,其次是再悬浮粉尘(20.7%)和机动车排放(19.0%),二次气溶胶的贡献最小(16.2%)。

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