基于多模式的北京PM<sub>2.5</sub>组分特征及氧化潜势分析

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Abstract PM_2.5 samples were collected and analyzed at the station of Chinese Academy of Meteorological Sciences (CAMS) in March and July 2019. PMF (Positive Matrix Factorization) model was used for source analysis, demonstrating that traffic sources (19.10%), secondary components (19.17%) and dust sources (18.02%) were the main sources of PM_2.5 pollution during the sampling period in Beijing. On this basis, the oxidative potential of PM_2.5 was determined by the consumption rate of ascorbic acid (AA) per cubic meter, referred as OPv. The OPv were (210.49±169.00) [pmol/(min·m³)] and (313.34±131.84) [pmol/min·m³]] in March and July, respectively. OPv had a very strong correlation with Cu (r=0.801), As (r=0.742), SO₄^2-(r=0.701). A new OPv prediction model was constructed by the multiple regression results and the WRF-Chem model. It was found that there were differences in the spatial characteristics of OPv and PM_2.5 concentrations, and the maximum concentration of OPv in Beijing appeared in the southeast.

Key words： PM_2.5 PMF oxidative potential multiple linear regression WRF-Chem numerical simulation

Received: 05 June 2023

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X513

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	Articles by authors
	HUA Tong-xin
	LIU Lei
	WEN Wei
	LIU Xiao-yu
	JIANG Bo
	MA Xin
	LIU Yu-song
	DENG Zi-fan

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HUA Tong-xin,LIU Lei,WEN Wei等. Analysis of PM_2.5 component characteristics and oxidative potential in Beijing based on multi-mode application[J]. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(1): 37-47.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2024/V44/I1/37

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