基于两种受体模型的太原市大气降尘来源解析及季节变化特征

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Abstract Dustfall sampling and chemical composition analysis were carried out from November 2019 to December 2020 in Taiyuan, a typical industrial city. During the sampling period, the average amount of dust fall was 7.9t/km²·30d and was higher from April to June in Taiyuan. Among the 8selected monitoring areas, Qingxu and Julun had higher average amounts of dustfall, 10.7t/(km²·30d) and 10.6t/(km²·30d), respectively. Crustal elements (Ca, Si, and Al) accounted for a large proportion in the concentrations of dustfall, and the content of Fe in dustfall in Julun and Taoyuan monitoring areas was significantly higher than that in other monitoring areas. Datasets containing the amount of dustfall and its chemical composition were incorporated into two receptor models, respectively, positive matrix factorization (PMF) and partial target transformation-positive matrix factorization (PTT-PMF), to analyze the sources of dustfall in Taiyuan. By comparing the performance and source profiles of the two receptor models, it was found that the PTT-PMF receptor model which incorporated into the measured source profiles could better distinguish two similar sources (urban dust and construction dust) than the PMF model. According to the results from the two receptor models, dustfall in Taiyuan was mainly from six sources:urban dust (PMF:35%, PTT-PMF:35%), construction dust (PMF:29%, PTT-PMF:28%), steel industry (PMF:14%, PTT-PMF:14%), coal combustion (PMF:13%, PTT-PMF:12%), secondary inorganic compounds (PMF:5%, PTT-PMF:6%), vehicle emissions (PMF:4%, PTT-PMF:5%). The source contributions obtained by the two receptor models were similar, but the seasonal variations of the construction dust and steel industry were different. The contribution of coarse particles (urban dust and construction dust) to dustfall was greater than 60% (the main source in Taiyuan), and its contribution was higher in spring (from April to June).

Key words： dustfall receptor model Partial Target Transformation-Positive matrix factor (PTT-PMF) source apportionment urban dust

Received: 17 November 2021

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X513

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	ZHANG Zhong-cheng
	XIE Yu-qi
	ZHANG Zhi-jie
	GAO Gang-shuan
	XU Bo
	TIAN Xiao
	XU Han
	WEI Yu-ting
	SHI Guo-liang
	FENG Ying-chang

Cite this article:

ZHANG Zhong-cheng,XIE Yu-qi,ZHANG Zhi-jie等. Source apportionment and seasonal variation characteristics of atmospheric dustfall in Taiyuan by two receptor models[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(6): 2577-2586.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I6/2577

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