Sources of ultrafine particles and chemical species along a traffic corridor : comparison of the results from two receptor models

Friend, Adrian, Ayoko, Godwin A., Jager, Daniel, Wust, Megan, Jayaratne, Rohan, Jamriska, Milan, & Morawska, Lidia (2013) Sources of ultrafine particles and chemical species along a traffic corridor : comparison of the results from two receptor models. Environmental Chemistry, 10(1), pp. 54-63.

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Particulate matter is common in our environment and has been linked to human health problems particularly in the ultrafine size range. A range of chemical species have been associated with particulate matter and of special concern are the hazardous chemicals that can accentuate health problems. If the sources of such particles can be identified then strategies can be developed for the reduction of air pollution and consequently, the improvement of the quality of life. In this investigation, particle number size distribution data and the concentrations of chemical species were obtained at two sites in Brisbane, Australia. Source apportionment was used to determine the sources (or factors) responsible for the particle size distribution data. The apportionment was performed by Positive Matrix Factorisation (PMF) and Principal Component Analysis/Absolute Principal Component Scores (PCA/APCS), and the results were compared with information from the gaseous chemical composition analysis. Although PCA/APCS resolved more sources, the results of the PMF analysis appear to be more reliable. Six common sources identified by both methods include: traffic 1, traffic 2, local traffic, biomass burning, and two unassigned factors. Thus motor vehicle related activities had the most impact on the data with the average contribution from nearly all sources to the measured concentrations higher during peak traffic hours and weekdays. Further analyses incorporated the meteorological measurements into the PMF results to determine the direction of the sources relative to the measurement sites, and this indicated that traffic on the nearby road and intersection was responsible for most of the factors. The described methodology which utilised a combination of three types of data related to particulate matter to determine the sources could assist future development of particle emission control and reduction strategies.

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7 citations in Scopus
6 citations in Web of Science®
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ID Code: 58650
Item Type: Journal Article
Refereed: Yes
Keywords: Particle size, chemical composition, Positive Matrix Factorisation, Principal Component Analysis, motor vehicles, urban corridor
DOI: 10.1071/EN12149
ISSN: 1448-2517
Subjects: Australian and New Zealand Standard Research Classification > CHEMICAL SCIENCE (030000) > OTHER CHEMICAL SCIENCES (039900) > Chemical Sciences not elsewhere classified (039999)
Australian and New Zealand Standard Research Classification > EARTH SCIENCES (040000) > ATMOSPHERIC SCIENCES (040100)
Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ENVIRONMENTAL SCIENCE AND MANAGEMENT (050200) > Environmental Monitoring (050206)
Divisions: Current > Institutes > Institute of Health and Biomedical Innovation
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 CSIRO Publishing
Deposited On: 26 Mar 2013 01:10
Last Modified: 18 Jul 2017 04:01

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