气候变化领域集成服务门户(CCPortal): PM2.5 in Cape Town, South Africa: Chemical characterization and source apportionment using dispersion-normalised positive matrix factorization

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DOI	10.1016/j.apr.2023.102025
	PM2.5 in Cape Town, South Africa: Chemical characterization and source apportionment using dispersion-normalised positive matrix factorization
	Alfeus, Anna; Molnar, Peter; Boman, Johan; Hopke, Philip K.; Wichmann, Janine
发表日期	2024
ISSN	1309-1042
起始页码	15
结束页码	3
卷号	15 期号:3
英文摘要	Understanding fine particulate matter (PM2.5) composition and sources is beneficial to improving visibility, addressing climate change, and mitigating poor air quality and related public health effects. Source apportionment techniques have been instrumental in evaluating the impact of sources and secondary processes on the ambient PM2.5 concentrations in receptor areas. Positive Matrix Factorization (PMF) is now the most commonly used tool due to its ability to provide mixture resolution based on available PM2.5 compositional data. Sampling and analysis of PM2.5 was conducted in Cape Town, South Africa from April 2017 to April 2018. The resulting data were dispersion normalized to address the modifications of the source concentrations resulting from the varying dispersion conditions and thereby permit dispersion normalized PMF (DN-PMF) to be employed. DNPMF quantified the 6 sources as 2-stroke vehicles/galvanizing industries (16.8%); soil/road dust (12.3%); sulphate/marine diesel (3.6%), traffic (15.7%), sea salt (21.8%), and heating/biomass burning/cooking (15.7%). In addition, air mass back trajectory analysis using the Hybrid Single Particle Lagrangian Trajectory (HYSPLIT) model identified long-range transport pathways to Cape Town. The HYSPLIT results showed air masses from the Atlantic SSW (6%), Atlantic SW (24%), Indian Ocean (31%), and Atlantic WSW (39%) influence air quality. The primary sources affected by the transport clusters were heating, 2-stroke vehicles/galvanizing, road and soil dust, and traffic emissions. These results show that reducing emissions from the local sources will improve air quality.
英文关键词	Cape town; Dispersion normalized-positive matrix factor; ization; PM 2.5; source apportionment; South Africa; Trace elements
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Sciences
WOS记录号	WOS:001156736800001
来源期刊	ATMOSPHERIC POLLUTION RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300714
作者单位	University of Pretoria; University of Namibia; University of Gothenburg; University of Gothenburg; Clarkson University; University of Rochester
推荐引用方式 GB/T 7714	Alfeus, Anna,Molnar, Peter,Boman, Johan,et al. PM2.5 in Cape Town, South Africa: Chemical characterization and source apportionment using dispersion-normalised positive matrix factorization[J],2024,15(3).
APA	Alfeus, Anna,Molnar, Peter,Boman, Johan,Hopke, Philip K.,&Wichmann, Janine.(2024).PM2.5 in Cape Town, South Africa: Chemical characterization and source apportionment using dispersion-normalised positive matrix factorization.ATMOSPHERIC POLLUTION RESEARCH,15(3).
MLA	Alfeus, Anna,et al."PM2.5 in Cape Town, South Africa: Chemical characterization and source apportionment using dispersion-normalised positive matrix factorization".ATMOSPHERIC POLLUTION RESEARCH 15.3(2024).