Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, China
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...
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doaj-271c4c01f1b349bb947cf8dfe3cae1f92020-11-25T00:26:07ZengMDPI AGAtmosphere2073-44332018-07-019726710.3390/atmos9070267atmos9070267Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, ChinaPulong Chen0Tijian Wang1Matthew Kasoar2Min Xie3Shu Li4Bingliang Zhuang5Mengmeng Li6School of Atmospheric Sciences, Nanjing University, Nanjing 210023, ChinaSchool of Atmospheric Sciences, Nanjing University, Nanjing 210023, ChinaDepartment of Physics, Imperial College London, London SW7 2AZ, UKSchool of Atmospheric Sciences, Nanjing University, Nanjing 210023, ChinaSchool of Atmospheric Sciences, Nanjing University, Nanjing 210023, ChinaSchool of Atmospheric Sciences, Nanjing University, Nanjing 210023, ChinaSchool of Atmospheric Sciences, Nanjing University, Nanjing 210023, ChinaChemical 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.http://www.mdpi.com/2073-4433/9/7/267PM2.5source apportionmenthazeCMB modelurban area |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pulong Chen Tijian Wang Matthew Kasoar Min Xie Shu Li Bingliang Zhuang Mengmeng Li |
spellingShingle |
Pulong Chen Tijian Wang Matthew Kasoar Min Xie Shu Li Bingliang Zhuang Mengmeng Li Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, China Atmosphere PM2.5 source apportionment haze CMB model urban area |
author_facet |
Pulong Chen Tijian Wang Matthew Kasoar Min Xie Shu Li Bingliang Zhuang Mengmeng Li |
author_sort |
Pulong Chen |
title |
Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, China |
title_short |
Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, China |
title_full |
Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, China |
title_fullStr |
Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, China |
title_full_unstemmed |
Source Apportionment of PM2.5 during Haze and Non-Haze Episodes in Wuxi, China |
title_sort |
source apportionment of pm2.5 during haze and non-haze episodes in wuxi, china |
publisher |
MDPI AG |
series |
Atmosphere |
issn |
2073-4433 |
publishDate |
2018-07-01 |
description |
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. |
topic |
PM2.5 source apportionment haze CMB model urban area |
url |
http://www.mdpi.com/2073-4433/9/7/267 |
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