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


Autoria(s): Friend, Adrian; Ayoko, Godwin A.; Jager, Daniel; Wust, Megan; Jayaratne, Rohan; Jamriska, Milan; Morawska, Lidia
Data(s)

2013

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/58650/

Publicador

CSIRO Publishing

Relação

http://eprints.qut.edu.au/58650/2/58650.pdf

DOI:10.1071/EN12149

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.

Direitos

Copyright 2013 CSIRO Publishing

Fonte

School of Chemistry, Physics & Mechanical Engineering; Institute of Health and Biomedical Innovation; Science & Engineering Faculty

Palavras-Chave #039999 Chemical Sciences not elsewhere classified #040100 ATMOSPHERIC SCIENCES #050206 Environmental Monitoring #Particle size #chemical composition #Positive Matrix Factorisation #Principal Component Analysis #motor vehicles #urban corridor
Tipo

Journal Article