基于单颗粒气溶胶质谱技术的源解析新算法

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Abstract As an important online source apportionment method, apportioning particle matter (PM) sources using single particle mass spectrometry (SPAMS) can't obtain the source contributions based on mass concentration. To solve this problem, a new online source apportionment method ArtPMF is proposed in this work. PM were collected and analyzed by SPAMS from February to March 2021 in an industrial city in Huaihe plain. The ArtPMF model was employed on the SPAMS dataset to quantify the source contributions to PM_2.5. During the observational period, PM_2.5 was contributed by secondary source, industrial source, vehicle exhaust source, coal combustion, crustal dust, biomass burning, and firework source, with contributions of 23%, 22%, 20%, 12%, 10%, 6%, and 6% respectively. The directional distributions of coal combustion, biomass burning, firework source, industrial source and vehicle exhaust source contribution are consistent with the actual situation of industrial enterprises and functional zoning, conforming that the ArtPMF can provide reliable source apportionment supporting for pollution control.

Key words： particle matter single particle mass spectrometry ArtPMF model online source apportionment

Received: 13 July 2021

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X513

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	Articles by authors
	XU Jiao
	ZHANG Deng-yi
	ZHANG Ying-lei
	FENG Yin-chang

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XU Jiao,ZHANG Deng-yi,ZHANG Ying-lei等. A new particle source apportionment method based on single particle mass spectrometry dataset[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(2): 575-584.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I2/575

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