Chemical compositions and source apportionment of PM2.5 during clear and hazy days: Seasonal changes and impacts of Youth Olympic Games

Seasonal changes in chemical compositions and source apportionment of PM2.5 during clear and hazy days help to develop effective control policy, but limited information is available in megacity Nanjing. In this study, 102 PM2.5 samples were collected during clear and hazy days from 4 seasons in 2014...

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Bibliographic Details
Published in:Chemosphere (Oxford) 2020-10, Vol.256, p.127163-127163, Article 127163
Main Authors: Li, Shi-Wei, Chang, Minghui, Li, Huiming, Cui, Xin-Yi, Ma, Lena Q.
Format: Article
Language:English
Subjects:
Inorganic elements
PMF model
Secondary aerosols
Source apportionment
Water-soluble ions
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Summary:Seasonal changes in chemical compositions and source apportionment of PM2.5 during clear and hazy days help to develop effective control policy, but limited information is available in megacity Nanjing. In this study, 102 PM2.5 samples were collected during clear and hazy days from 4 seasons in 2014–2015. Their chemical compositions (organic and elemental carbon, 8 water-soluble ions, and 22 inorganic elements) were determined, which were used for PM2.5 source apportionment using the PMF model. The mean PM2.5 concentration was lower during clear days than hazy days (42 vs. 122 μg m−3), so were mean concentrations of metals (0.48 vs. 0.82 ng m−3 for Co and 2.0 vs. 2.4 μg m−3 for Na), water soluble ions (0.10 vs. 0.16 μg m−3 for Mg2+ and 12 vs. 23 μg m−3 for SO42−), and carbon species (3.2 vs. 5.4 μg m−3 for elemetal C and 20 vs. 35 μg m−3 for organic C). Based on the PMF model, five main sources of PM2.5 were identified including secondary aerosols (31%), coal combustion (27%), road & construction dust (26%), oil combustion (8.5%), and iron & steel industry (5.1%) for all samples. The PM2.5 concentrations from the 5 sources were 0.01–46.5, averaging 9.8 μg m−3 during clear days (PM2.5 
ISSN:0045-6535
1879-1298
DOI:10.1016/j.chemosphere.2020.127163