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DOI	10.5194/acp-22-5495-2022
	Estimation of secondary PM2.5 in China and the United States using a multi-tracer approach
	Zhang, Haoran; Li, Nan; Tang, Keqin; Liao, Hong; Shi, Chong; Huang, Cheng; Wang, Hongli; Guo, Song; Hu, Min; Ge, Xinlei; Chen, Mindong; Liu, Zhenxin; Yu, Huan; Hu, Jianlin
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	5495
结束页码	5514
卷号	22 期号:8 页码:20
英文摘要	PM2.5, generated via both direct emission and secondary formation, can have varying environmental impacts due to different physical and chemical properties of its components. However, traditional methods to quantify different PM2.5 components are often based on online or offline observations and numerical models, which are generally high economic cost- or labor-intensive. In this study, we develop a new method, named Multi-Tracer Estimation Algorithm (MTEA), to identify the primary and secondary components from routine observation of PM2.5. By comparing with long-term and short-term measurements of aerosol chemical components in China and the United States, it is proven that MTEA can successfully capture the magnitude and variation of the primary PM2.5 (PPM) and secondary PM2.5 (SPM). Applying MTEA to the China National Air Quality Network, we find that (1) SPM accounted for 63.5 % of the PM2.5 in cities in southern China on average during 2014-2018, while the proportion dropped to 57.1 % in the north of China, and at the same time the secondary proportion in regional background regions was similar to 19 % higher than that in populous regions; (2) the summertime secondary PM2.5 proportion presented a slight but consistent increasing trend (from 58.5 % to 59.2 %) in most populous cities, mainly because of the recent increase in O-3 pollution in China; (3) the secondary PM2.5 proportion in Beijing significantly increased by 34 % during the COVID-19 lockdown, which might be the main reason for the observed unexpected PM pollution in this special period; and finally, (4) SPM and O-3 showed similar positive correlations in the Beijing-Tianjin-Hebei (BTH) and Yangtze River Delta (YRD) regions, but the correlations between total PM2.5 and O-3 in these two regions, as determined from PPM levels, were quite different. In general, MTEA is a promising tool for efficiently estimating PPM and SPM, and has huge potential for future PM mitigation.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000787242200001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273117
作者单位	Nanjing University of Information Science & Technology; National Institute for Environmental Studies - Japan; Chinese Academy of Sciences; The Institute of Remote Sensing & Digital Earth, CAS; Peking University; China University of Geosciences
推荐引用方式 GB/T 7714	Zhang, Haoran,Li, Nan,Tang, Keqin,et al. Estimation of secondary PM2.5 in China and the United States using a multi-tracer approach[J],2022,22(8):20.
APA	Zhang, Haoran.,Li, Nan.,Tang, Keqin.,Liao, Hong.,Shi, Chong.,...&Hu, Jianlin.(2022).Estimation of secondary PM2.5 in China and the United States using a multi-tracer approach.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(8),20.
MLA	Zhang, Haoran,et al."Estimation of secondary PM2.5 in China and the United States using a multi-tracer approach".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.8(2022):20.