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The Characteristics of the Chemical Composition of PM 2.5 during a Severe Haze Episode in Suzhou, China.

Authors :
Huang, Xiangpeng
Chen, Yusheng
Li, Yue'e
Wang, Junfeng
Source :
Atmosphere. Oct2024, Vol. 15 Issue 10, p1204. 15p.
Publication Year :
2024

Abstract

During the past decade, the air quality has been greatly improved in China since the implementation of the "Clean Air Act". However, haze events are still being reported in some regions of China, and the pollution mechanism remains unclear. In this study, we investigate the chemical characteristics of the pollution mechanism of the PM2.5 composition in Suzhou from October 18 to December 15, 2020. A notable declining trend in temperature was observed from 18 to 27 November, which indicates the seasonal transition from fall to the winter season. Four representative periods were identified based on meteorological parameters and the PM2.5 mass concentrations. The heavy pollution period had the typical characteristics of a relatively low temperature, a high relative humidity, and mass loadings of atmospheric pollutants; nitrate was the dominant contributor to the haze pollution during this period. The nitrate formation mechanism was driven by the planetary boundary layer dynamics. The potential source contribution function model (PSCF) showed that the major PM2.5 composition originated from the northwest direction of the sampling site. The aerosol liquid water content presented increasing trends with an increasing relative humidity. The pH was the highest during the heavy pollution period, which was influenced by the aerosol liquid water content and the mass loadings of NO3−, SO42−, NH4+, and Cl−. The comprehensive analysis in this paper could improve our understanding of the nitrate pollution mechanism and environmental effects in this region. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734433
Volume :
15
Issue :
10
Database :
Academic Search Index
Journal :
Atmosphere
Publication Type :
Academic Journal
Accession number :
180485682
Full Text :
https://doi.org/10.3390/atmos15101204