深圳市城区冬季大气PM<sub>2.5</sub>在线来源解析

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Abstract This work conducted high time resolution observations of PM_2.5 and its chemical composition during December 27^th in 2020 to January 31^th in 2021 in Shenzhen using a hybrid synchronous mixing real-time environmental particulate matter monitor, aerosol chemical speciation monitor (ACSM), aethalometer, and automated multi-metals monitor. During the observational period, the average concentrations of PM_2.5 was 32.2 ±17.0μg/m³. Organic matter was the most abundant component of PM_2.5, with average concentration of 15.4±9.5μg/m³, followed by NO₃^-(4.3±3.9μg/m³), SO₄^2-(3.8±2.1μg/m³), BC (2.7±1.6μg/m³), NH₄⁺(2.5±1.7μg/m³), and elements (1.9±1.2μg/m³). The mass spectra information (m/z 44) obtained from ACSM, as the tracer of the secondary organic aerosol (SOA), was introduced into PMF (Positive Matrix Factorization) model to identify SOA. PMF results showed that PM_2.5 during winter in Shenzhen was dominated by SOA, vehicle emissions, secondary nitrate, secondary sulfate, biomass burning, and fugitive dust, which were accounting for 23.8%, 21.7%, 15.3%, 15.2%, 8.2%, and 5.7% of PM_2.5 mass concentrations, respectively. In addition, ship emissions, industrial emissions, and coal combustion had relatively small contributions, ranging from 1.6% to 3.3% of PM_2.5. The diurnal variations of each source and the potential source area were analyzed and found that local emissions played an important role for SOA, secondary nitrate, vehicle emissions, fugitive dust, and industrial emissions, while regional transmission played an important role for secondary sulfate, biomass burning, coal combustion, and ship emissions. The findings in this work highlight that further decreasing PM_2.5 level in Shenzhen needs to control the local emissions (e.g. vehicle emissions, fugitive dust, industrial emissions) and joint prevent coal combustion, biomass burning, and ship emissions.

Key words： PM_2.5 online source apportionment PMF model diurnal variation potential source area

Received: 21 June 2022

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X513

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	Articles by authors
	LIN Chu-xiong
	YAO Pei-ting
	PENG Xing
	GU Tian-fa
	SUN Tian-le
	YUN Long
	HE Ling-yan
	HUANG Xiao-feng

Cite this article:

LIN Chu-xiong,YAO Pei-ting,PENG Xing等. Online source apportionment of PM_2.5 during winter at urban site in Shenzhen[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(2): 506-513.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I2/506

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