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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摘要利用MERRA-2再分析数据,对1980~2020年中国区域黑碳、有机碳和硫酸盐质量浓度的空间分布特征、多时间尺度变化规律进行了分析,并进一步探讨了典型区域黑碳、有机碳、硫酸盐浓度与大气自净能力指数之间的可能联系.结果显示:中国黑碳、有机碳、硫酸盐浓度都呈西部低、中东部高的空间分布特征,且京津冀、川渝、江浙沪、两广等4个区域的污染特征具有代表性;中国黑碳、有机碳、硫酸盐浓度均呈现阶段性的年代际变化特征, 1980-2020年期间经历了缓慢增加、快速增加和缓慢下降的过程;4个区域3种组分的季节变化规律有较大差异,其中黑碳浓度呈夏季低、冬季高的"U"型变化规律,有机碳和硫酸盐浓度无显著的一致性特征;大气自净能力指数与黑碳、有机碳、硫酸盐浓度的长期变化趋势上有显著的负相关关系,即大气自净能力指数越大(小),污染物浓度越低(高).

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	王悦颖
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	赵娜

关键词 ：黑碳, 有机碳, 硫酸盐, 大气自净能力指数(ASI)

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)

收稿日期: 2022-10-18

PACS:

X513

基金资助:国家自然科学基金资助项目(42275030,U2242206,453490);国家重点研发计划(2018YFC1506006);科技部攻关项目(2015CB453203)

通讯作者: 陈丽娟,研究员,chenlj@cma.gov.cn;安兴琴,研究员,anxq@cma.gov.cn E-mail: chenlj@cma.gov.cn;anxq@cma.gov.cn

作者简介: 王悦颖(1999-),女,吉林白山人,中国气象科学研究院硕士研究生,主要从事大气环境和气候变化方面的研究.wyyttkxjk@163.com.

引用本文:

王悦颖, 陈丽娟, 安兴琴, 梅梅, 赵娜. 基于MERRA-2资料的PM_2.5主要组分污染特征及与气象条件的相关性分析[J]. 中国环境科学, 2023, 43(5): 2128-2137. WANG Yue-ying, CHEN Li-juan, AN Xing-qin, MEI Mei, ZHAO Na. Analyzing pollution characteristics of major components of PM_2.5 and their correlation with meteorological conditions based on MERRA-2data. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(5): 2128-2137.

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http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2023/V43/I5/2128

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