Multi-criteria ranking and receptor modelling of airborne fine particles at three sites in the Pearl River Delta region of China

Friend, Adrian, Ayoko, Godwin A., & Guo, Hai (2011) Multi-criteria ranking and receptor modelling of airborne fine particles at three sites in the Pearl River Delta region of China. Science of the Total Environment, 409(4), pp. 719-737.

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The multi-criteria decision making methods, Preference METHods for Enrichment Evaluation (PROMETHEE) and Graphical Analysis for Interactive Assistance (GAIA), and the two-way Positive Matrix Factorization (PMF) receptor model were applied to airborne fine particle compositional data collected at three sites in Hong Kong during two monitoring campaigns held from November 2000 to October 2001 and November 2004 to October 2005. PROMETHEE/GAIA indicated that the three sites were worse during the later monitoring campaign, and that the order of the air quality at the sites during each campaign was: rural site > urban site > roadside site. The PMF analysis on the other hand, identified 6 common sources at all of the sites (diesel vehicle, fresh sea salt, secondary sulphate, soil, aged sea salt and oil combustion) which accounted for approximately 68.8 ± 8.7% of the fine particle mass at the sites. In addition, road dust, gasoline vehicle, biomass burning, secondary nitrate, and metal processing were identified at some of the sites. Secondary sulphate was found to be the highest contributor to the fine particle mass at the rural and urban sites with vehicle emission as a high contributor to the roadside site. The PMF results are broadly similar to those obtained in a previous analysis by PCA/APCS. However, the PMF analysis resolved more factors at each site than the PCA/APCS. In addition, the study demonstrated that combined results from multi-criteria decision making analysis and receptor modelling can provide more detailed information that can be used to formulate the scientific basis for mitigating air pollution in the region.

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9 citations in Scopus
8 citations in Web of Science®
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ID Code: 38688
Item Type: Journal Article
Refereed: Yes
Keywords: Air quality, Multi-criteria ranking, Receptor modelling, PM2.5, Hong Kong
DOI: 10.1016/j.scitotenv.2010.11.008
ISSN: 0048-9697
Subjects: Australian and New Zealand Standard Research Classification > EARTH SCIENCES (040000) > ATMOSPHERIC SCIENCES (040100) > Atmospheric Sciences not elsewhere classified (040199)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2010 Elsevier BV
Copyright Statement: This is the author’s version of a work that was accepted for publication in Science of the Total Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of the Total Environment, [VOL 409, ISSUE 4, (2011)] DOI: 10.1016/j.scitotenv.2010.11.008
Deposited On: 22 Nov 2010 01:02
Last Modified: 21 Jun 2017 17:33

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