A review of atmospheric fine particulate matters: chemical composition, source identification and their variations in Beijing

Ma, Y; Huang, Y; Wu, J; Jiaqiang, E; Zhang, B; Han, D; Ong, HC

A review of atmospheric fine particulate matters: chemical composition, source identification and their variations in Beijing

Ma, Y Huang, Y

Wu, J Jiaqiang, E Zhang, B Han, D Ong, HC

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Publisher:: TAYLOR & FRANCIS INC
Publication Type:: Journal Article
Citation:: Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 2022, 44, (2), pp. 4783-4807
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Ma, Y
dc.contributor.author	Huang, Y https://orcid.org/0000-0001-9800-8788
dc.contributor.author	Wu, J
dc.contributor.author	Jiaqiang, E
dc.contributor.author	Zhang, B
dc.contributor.author	Han, D
dc.contributor.author	Ong, HC
dc.date.accessioned	2022-07-18T03:57:00Z
dc.date.available	2022-07-18T03:57:00Z
dc.date.issued	2022-01-01
dc.identifier.citation	Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 2022, 44, (2), pp. 4783-4807
dc.identifier.issn	1556-7036
dc.identifier.issn	1556-7230
dc.identifier.uri	http://hdl.handle.net/10453/158982
dc.description.abstract	Fine particulate matter (PM2.5) is a major air pollutant worldwide. Characterizing its chemical compositions and source contributions is a critical prerequisite for effective control of PM2.5 pollution. This paper systematically reviews the sampling methods, chemical compositions, and source apportionments of PM2.5. Sampling methods have significant influences on the identification of chemical compositions and source contributions, with Quartz and Teflon filters being the most widely used. Receptor models are commonly adopted for identifying the sources of PM2.5, such as positive matrix factorization, chemical mass balance, principal component analysis, and UNMIX models, which have their respective advantages and limitations that determine their applications. The variations of PM2.5 compositions and sources in the past two decades in Beijing are also reviewed, which is the political, economic, and cultural center of China and is experiencing severe haze pollution events frequently. It was found that organic matters were the largest component (28.2%) in PM2.5, followed by sulfate (15.1%) during 2004–2013, which was overtaken by nitrate (14.9%) after 2013. Each PM2.5 source demonstrated significant seasonal and annual variations due to changes in climatic conditions and anthropogenic activities. Future research on the impacts of these external factors is urgently needed. This review is expected to provide valuable advice and evidence for those fast-growing megacities like Beijing to identify and control their PM2.5-related air pollution problems.
dc.language	English
dc.publisher	TAYLOR & FRANCIS INC
dc.relation	http://purl.org/au-research/grants/arc/DE220100552
dc.relation.ispartof	Energy Sources, Part A: Recovery, Utilization and Environmental Effects
dc.relation.isbasedon	10.1080/15567036.2022.2075991
dc.rights	This is an Accepted Manuscript of an article published by Taylor & Francis in Energy Sources, Part A: Recovery, Utilization and Environmental Effects on 31 May 2022, available online: http://www.tandfonline.com/10.1080/15567036.2022.2075991
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering, 0914 Resources Engineering and Extractive Metallurgy
dc.subject.classification	Energy
dc.title	A review of atmospheric fine particulate matters: chemical composition, source identification and their variations in Beijing
dc.type	Journal Article
utslib.citation.volume	44
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
utslib.for	0914 Resources Engineering and Extractive Metallurgy
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-06-15T00:00:00+1000Z
dc.date.updated	2022-07-18T03:56:59Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	44
utslib.citation.issue	2

Abstract:

Fine particulate matter (PM2.5) is a major air pollutant worldwide. Characterizing its chemical compositions and source contributions is a critical prerequisite for effective control of PM2.5 pollution. This paper systematically reviews the sampling methods, chemical compositions, and source apportionments of PM2.5. Sampling methods have significant influences on the identification of chemical compositions and source contributions, with Quartz and Teflon filters being the most widely used. Receptor models are commonly adopted for identifying the sources of PM2.5, such as positive matrix factorization, chemical mass balance, principal component analysis, and UNMIX models, which have their respective advantages and limitations that determine their applications. The variations of PM2.5 compositions and sources in the past two decades in Beijing are also reviewed, which is the political, economic, and cultural center of China and is experiencing severe haze pollution events frequently. It was found that organic matters were the largest component (28.2%) in PM2.5, followed by sulfate (15.1%) during 2004–2013, which was overtaken by nitrate (14.9%) after 2013. Each PM2.5 source demonstrated significant seasonal and annual variations due to changes in climatic conditions and anthropogenic activities. Future research on the impacts of these external factors is urgently needed. This review is expected to provide valuable advice and evidence for those fast-growing megacities like Beijing to identify and control their PM2.5-related air pollution problems.

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http://hdl.handle.net/10453/158982