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Environ Sci Process Impacts

Title:		Positive matrix factorization on source apportionment for typical pollutants in different environmental media: a review
Author(s):		Sun X; Wang H; Guo Z; Lu P; Song F; Liu L; Liu J; Rose NL; Wang F;
Address:		"State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400030, China and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, China. State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400030, China and Department of Environmental Science, College of Environment and Ecology, Chongqing University, Chongqing 400030, China. cqsfz@cqu.edu.cn fengwenwang@cqu.edu.cn. Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, China. Department of Environmental Science, College of Environment and Ecology, Chongqing University, Chongqing 400030, China. cqsfz@cqu.edu.cn fengwenwang@cqu.edu.cn. State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400030, China. Chongqing University Cancer Hospital, Chongqing University, Chongqing 400030, China. Environmental Change Research Centre, University College London, Gower Street, London WC1E 6BT, UK. State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400030, China and Department of Environmental Science, College of Environment and Ecology, Chongqing University, Chongqing 400030, China. cqsfz@cqu.edu.cn fengwenwang@cqu.edu.cn and Key Laboratory of Pollution Processes and Environmental Criteria, Ministry of Education, Nankai University, Tianjin 300350, China"
Journal Title:		Environ Sci Process Impacts
Year:		2020
Volume:		22
Issue:		2
Page Number:		239 - 255
DOI:		10.1039/c9em00529c
ISSN/ISBN:		2050-7895 (Electronic) 2050-7887 (Linking)
Abstract:		"A bibliometric analysis of published papers with the key words 'positive matrix factorization' and 'source apportionment' in 'Web of Science', reveals that more than 1000 papers are associated with this research and that approximately 50% of these were produced in Asia. As a receptor-based model, positive matrix factorization (PMF) has been widely used for source apportionment of various environmental pollutants, such as persistent organic pollutants (POPs), heavy metals, volatile organic compounds (VOCs) as well as inorganic cations and anions in the last decade. In this review, based on the papers mainly from 2008 to 2018 that focused on source apportionment of pollutants in different environmental media, we provide a comparison and summary of the source categories of typical environmental pollutants, with a special focus on polycyclic aromatic hydrocarbons (PAHs), apportioned using PMF. Based on the statistical average, coal combustion and vehicular emission, are shown to be the two most common sources of PAHs, and contribute much more to emissions than other sources, such as biomass burning, biogenic sources and waste incineration. Heavy metals were mainly from agricultural activities, industrial and vehicular emissions and mining activities. Quantitative source apportionment on pollutants such as VOCs and particulate matter were also apportioned, showing a prominent contribution from fossil-fuel combustion. We conclude that, aside from natural sources, abatement strategies should be focused on changes in energy structure and industrial activities, especially in China. Source apportionment of typical POPs including polychlorinated dibenzo-p-dioxins/dibenzofurans (PCDD/Fs), polychlorinated biphenyls (PCBs), halogenated flame retardants (HFRs) and perfluorinated compounds (PFCs) is less comprehensive and further study is required"
Keywords:		*Air Pollutants Asia China Dibenzofurans Environmental Monitoring *Environmental Pollutants *Polychlorinated Dibenzodioxins *Polycyclic Aromatic Hydrocarbons;
Notes:		"MedlineSun, Xiang Wang, Haoqi Guo, Zhigang Lu, Peili Song, Fuzhong Liu, Li Liu, Jiaxin Rose, Neil L Wang, Fengwen eng Review England 2020/01/10 Environ Sci Process Impacts. 2020 Feb 26; 22(2):239-255. doi: 10.1039/c9em00529c"