山东省大气细颗粒物来源解析的研究现状与展望

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Abstract In this study, 39studies on PM_2.5 source apportionment conducted in various cities of Shandong Province were sorted out, the research status and progress were reviewed, the spatial and temporal distributions were summarized, and the key influencing factors were analyzed. The receptor model was the most used method in the PM_2.5 source apportionment studies in Shandong Province, the secondary source ((36.1±8.5)%) was the largest contributor of PM_2.5 in Shandong Province, followed by dust ((18.4±8.6)%), coal-burning ((18.2±7.0)%) and vehicular emission sources ((17.7±11.7)%). Multi-year results of PM_2.5 source apportionment in Jinan and Qingdao showed that the relative contributions of secondary sources and vehicular emission sources had increased in recent years. Finally, some prospects for future PM_2.5 source apportionment work in Shandong Province were raised, including that (1) unified or regionally targeted source apportionment techniques should be developed and adopted, (2) integrated source apportionment methods with emission inventory or air quality model should be adopted to further apportion the secondary source contributions, local source and regional transport contributions, and provide more refined source apportionment results, and (3) long-term and multi-site simultaneous observation should be performed to better understand the spatial and temporal distribution of PM_2.5 concentration and sources as well as their historical trend in this region.

Key words： PM_2.5 source apportionment spatial and temporal distribution Shandong Province

Received: 11 December 2020

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	ZHOU Rui-zhi
	YAN Cai-qing
	CUI Min
	XU Min
	LIU Wei-jian
	CHEN Hai-biao
	ZHOU Tao-meizi
	ZHENG Mei

Cite this article:

ZHOU Rui-zhi,YAN Cai-qing,CUI Min等. Research status and prospects on source apportionment of atmospheric fine particulate matter in Shandong Province[J]. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(7): 3029-3042.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2021/V41/I7/3029

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