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

Abstract

Chemical characteristics of fine particulate matter (PM 2.5 ) 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/m 3 ) were measured in haze episodes. The most abundant chemical components were organic matter (OM), SO 4 2− , NO 3 − , elemental carbon (EC), and NH 4 + , which varied significantly on haze and non-haze days. The concentrations of OM and EC were 38.5 ± 5.4 µg/m 3 and 12.3 ± 2.1 µg/m 3 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.

Assessment of long-term particulate nitrate air pollution and its health risk in China

“…The following references appear in the supplemental information: Chen et al., 2018b ; Deng et al., 2011; Gao et al., 2018 ; Huang et al., 2010 ; Li et al., 2015 ; State Council of the People's Republic of China, 2013 ; Wang et al., 2016 .…”

Impact of Meteorology and Aerosol Sources on PM2.5 and Oxidative Potential Variability and Levels in China

“…𝐸𝐹, 𝐹𝑄, 𝐸 𝑝𝑝 _𝑐𝑓 , and 𝐸 𝑝𝑝 are obtained from the literatureTong et al, 2018;Yun et al, 2020;MEE, 2020;Wang et al, 2020;Tang et al, 2020;Lin et al, 2021;Chen et al, 2022). More and more studies(Hodan et al, 2004;Chen et al, 2018; Zhang 225 et al, 2022) showed that in China, the proportion of secondary and primary PM2.5 mass to the total PM2.5 mass is close, so we assume that they account for 50% respectively. Figure2showed the emission reduction design for perturbed emissions.https://doi.org/10.5194/egusphere-2023-2615 Preprint.…”