Liyao Guo1, Chao Gu2, Kaiyuan Dong3, Shengju Ou4, Xueyan Zhao This email address is being protected from spambots. You need JavaScript enabled to view it.1, Xinhua Wang This email address is being protected from spambots. You need JavaScript enabled to view it.1, Zhensen Zheng1, Wen Yang1 

1 State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
2 Ecological Environment Monitoring Centre of Xinjiang Uygur Autonomous Region, Urumqi 830011, China
3 Department of Ecology and Environment of Xinjiang Uygur Autonomous Region, Urumqi 830011, China
4 School of Environmental and Life Sciences, Nanning Normal University, Naning 530001, China

Received: November 26, 2023
Revised: March 27, 2024
Accepted: March 28, 2024

 Copyright The Author's institutions. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited. 

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Guo, L., Gu, C., Dong, K., Ou, S., Zhao, X., Wang, X., Zheng, Z., Yang, W. (2024). Composition Characteristics and Potential Regions of PM2.5 during Winter Haze Pollution in Typical Industrial Areas, NW-China. Aerosol Air Qual. Res.



To investigative the causes and potential sources of fine particulate matter (PM2.5) pollution during winter haze pollution in typical industrial areas in northwest China, PM2.5 samples were collected during a winter extreme pollution event (from January 15th to January 29th, 2016). The daily average PM2.5 concentrations were ~210 μg m-3 and peak daily concentrations were ~496 μg m-3 in the Kuitun-Dushanzi-Wusu (K-D-W region) of Xinjiang Uygur Autonomous Region, China. Eighty-eight samples (including 44 quartz and 44 Teflon samples for PM2.5) were assessed for water-soluble ions (WSIIs), organic/elemental carbon (OC/EC) and inorganic elements. The results showed that the percentage of carbonaceous compounds decreased with more severe pollution levels, and the OC and SOC decreased more rapidly than EC. The sum of 39 inorganic element concentrations (8.28% ± 3.59%) was lower than that of water-soluble ions (63.26% ± 8.78%) and carbonaceous compounds (10.95% ± 3.22%). SO42- is the component with the highest percentage, and the percentage of SO42- increases continuously in severe pollution, indicating that secondary transformation of SO42- was more significant during polluted periods. The increased pollution, combined with high relative humidity (RH) increased the liquid water content (LWC), which in turn promoted heterogeneous reactions. The Positive Matrix Factorization (PMF) analysis shows that secondary particulate matter (47%), coal combustion (19%), fugitive dust (14%), industrial sources (10%) and vehicular emissions (10%) are identified as the major emission sources during winter in the K-D-W region. Potential areas in the K-D-W region are distributed in the southeast direction of the 8th Division.

Keywords: PM2.5, Composition characteristics, Source appointment, Potential sources

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