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Atmosphere 2018, 9(7), 267; https://doi.org/10.3390/atmos9070267

Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, China

1
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
2
Department of Physics, Imperial College London, London SW7 2AZ, UK
*
Author to whom correspondence should be addressed.
Received: 20 May 2018 / Revised: 22 June 2018 / Accepted: 12 July 2018 / Published: 16 July 2018
(This article belongs to the Special Issue Air Quality and Sources Apportionment)
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Abstract

Chemical characteristics of fine particulate matter (PM2.5) in Wuxi at urban, industrial, and clean sites on haze and non-haze days were investigated over four seasons in 2016. In this study, high concentrations of fine particulate matter (107.6 ± 25.3 μg/m3) were measured in haze episodes. The most abundant chemical components were organic matter (OM), SO42−, NO3, elemental carbon (EC), and NH4+, which varied significantly on haze and non-haze days. The concentrations of OM and EC were 38.5 ± 5.4 μg/m3 and 12.3 ± 2.1 μg/m3 on haze days, which were more than four times greater than those on non-haze days. Source apportionment using a chemical mass balance (CMB) model showed that the dominant sources were secondary sulfate (17.7%), secondary organic aerosols (17.1%), and secondary nitrate (14.2%) during the entire sampling period. The source contribution estimates (SCEs) of most sources at clean sites were lower than at urban and industrial sites. Primary industrial emission sources, such as coal combustion and steel smelting, made larger contributions at industrial sites, while vehicle exhausts and cooking smoke showed higher contributions at urban sites. In addition, the SCEs of secondary sulfate, secondary nitrate, and secondary organic aerosols on haze days were much higher than those on non-haze days, indicating that the secondary particulate matter formations process was the dominating reason for high concentrations of particles on haze days. View Full-Text
Keywords: PM2.5; source apportionment; haze; CMB model; urban area PM2.5; source apportionment; haze; CMB model; urban area
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Chen, P.; Wang, T.; Kasoar, M.; Xie, M.; Li, S.; Zhuang, B.; Li, M. Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, China. Atmosphere 2018, 9, 267.

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