基于MERRA-2资料的PM<sub>2.5</sub>主要组分污染特征及与气象条件的相关性分析

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Abstract The spatial distribution and multi-time scale variation of black carbon, organic carbon and sulfate mass concentrations in China from 1980 to 2020 were analyzed by using the Version 2 Modern-Era Retrospective analysis for Research and Applications (MERRA-2) in this paper, and further explored was the possible relationship between the concentrations of black carbon, organic carbon and sulfate in typical regions of China and atmospheric self-cleaning index (ASI). The results show that the concentrations of black carbon, organic carbon and sulfate in China were low in the west and high in the central-eastern regions, with four representative regions of Beijing-Tianjin-Hebei, Sichuan-Chongqing, Jiangsu-Zhejiang-Shanghai and Guangdong-Guangxi; found were periodic decadal changes in the concentrations of the studied chemical components with a slow increase, a rapid increase and a slow decline from 1980 to 2020. The seasonal variation patterns of the studied three components in the four regions were quite different, among which the black carbon concentration indicates a "U" pattern of a low value in summer and a high value in winter, while the organic carbon and sulfate concentrations have not a consistent pattern. Found was a significant negative correlation between ASI and the concentrations of black carbon, organic carbon and sulfate in the long-term trend, i.e., the higher (lower) ASI, the lower (higher) the concentrations of the studied pollutants.

Key words： black carbon organic carbon sulfate atmospheric self-cleaning index (ASI)

Received: 18 October 2022

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X513

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	WANG Yue-ying
	CHEN Li-juan
	AN Xing-qin
	MEI Mei
	ZHAO Na

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WANG Yue-ying,CHEN Li-juan,AN Xing-qin等. Analyzing pollution characteristics of major components of PM_2.5 and their correlation with meteorological conditions based on MERRA-2data[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(5): 2128-2137.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I5/2128

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