Source Apportionment of PM2.5 in Delhi, India Using PMF Model

被引:0
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作者
S. K. Sharma
T. K. Mandal
Srishti Jain
A. Saraswati
Mohit Sharma
机构
[1] CSIR-National Physical Laboratory,Radio and Atmospheric Sciences Division
关键词
PM; Organic carbon; Elemental carbon; Positive matrix factorization;
D O I
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中图分类号
学科分类号
摘要
Chemical characterization of PM2.5 [organic carbon, elemental carbon, water soluble inorganic ionic components, and major and trace elements] was carried out for a source apportionment study of PM2.5 at an urban site of Delhi, India from January, 2013, to December, 2014. The annual average mass concentration of PM2.5 was 122 ± 94.1 µg m−3. Strong seasonal variation was observed in PM2.5 mass concentration and its chemical composition with maxima during winter and minima during monsoon. A receptor model, positive matrix factorization (PMF) was applied for source apportionment of PM2.5 mass concentration. The PMF model resolved the major sources of PM2.5 as secondary aerosols (21.3 %), followed by soil dust (20.5 %), vehicle emissions (19.7 %), biomass burning (14.3 %), fossil fuel combustion (13.7 %), industrial emissions (6.2 %) and sea salt (4.3 %).
引用
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页码:286 / 293
页数:7
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