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Article

Assessing PM2.5 Dynamics and Source Contributions in Southwestern China: Insights from Winter Haze Analysis

1
State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Science, Guiyang 550081, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
*
Author to whom correspondence should be addressed.
Atmosphere 2024, 15(7), 855; https://doi.org/10.3390/atmos15070855
Submission received: 26 June 2024 / Revised: 11 July 2024 / Accepted: 17 July 2024 / Published: 19 July 2024
(This article belongs to the Special Issue Air Pollution in China (3rd Edition))

Abstract

Despite enhancements in pollution control measures in southwestern China, detailed assessments of PM2.5 dynamics following the implementation of the Clean Air Action remain limited. This study explores the PM2.5 concentrations and their chemical compositions during the winter haze period of 2017 across four major urban centers—Chengdu, Chongqing, Guiyang, and Kunming. Significant variability in mean PM2.5 concentrations was observed: Chengdu (71.8 μg m−3) and Chongqing (53.3 μg m−3) recorded the highest levels, substantially exceeding national air quality standards, while Guiyang and Kunming reported lower concentrations, suggestive of comparatively milder pollution. The analysis revealed that sulfate, nitrate, and ammonium (collectively referred to as SNA) constituted a substantial portion of the PM2.5 mass—47.2% in Chengdu, 62.2% in Chongqing, 59.9% in Guiyang, and 32.0% in Kunming—highlighting the critical role of secondary aerosol formation. The ratio of NO3/SO42− and nitrogen oxidation ratio to sulfur oxidation ratio (NOR/SOR) indicate a significant transformation of NO2 under conditions of heavy pollution, with nitrate formation playing an increasingly central role in the haze dynamics, particularly in Chengdu and Chongqing. Utilizing PMF for source apportionment, in Chengdu, vehicle emissions were the predominant contributor, accounting for 33.1%. Chongqing showed a similar profile, with secondary aerosols constituting 36%, followed closely by vehicle emissions. In contrast, Guiyang’s PM2.5 burden was heavily influenced by coal combustion, which contributed 46.3%, reflecting the city’s strong industrial base. Kunming presented a more balanced source distribution. Back trajectory analysis further confirmed the regional transport of pollutants, illustrating the complex interplay between local and distant sources. These insights underscore the need for tailored, region-specific air quality management strategies in southwestern China, thereby enhancing our understanding of the multifaceted sources and dynamics of PM2.5 pollution amidst ongoing urban and industrial development.
Keywords: PM2.5 analyses; water-soluble ions; secondary aerosols; source apportionment; PMF PM2.5 analyses; water-soluble ions; secondary aerosols; source apportionment; PMF

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MDPI and ACS Style

Guan, H.; Chen, Z.; Tian, J.; Xiao, H. Assessing PM2.5 Dynamics and Source Contributions in Southwestern China: Insights from Winter Haze Analysis. Atmosphere 2024, 15, 855. https://doi.org/10.3390/atmos15070855

AMA Style

Guan H, Chen Z, Tian J, Xiao H. Assessing PM2.5 Dynamics and Source Contributions in Southwestern China: Insights from Winter Haze Analysis. Atmosphere. 2024; 15(7):855. https://doi.org/10.3390/atmos15070855

Chicago/Turabian Style

Guan, Hui, Ziyun Chen, Jing Tian, and Huayun Xiao. 2024. "Assessing PM2.5 Dynamics and Source Contributions in Southwestern China: Insights from Winter Haze Analysis" Atmosphere 15, no. 7: 855. https://doi.org/10.3390/atmos15070855

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