Application of positive matrix factorisation, multi-linear engine and back trajectory techniques to the quantification of coal-fired power station pollution in metropolitan Sydney

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dc.contributor.authorCohen, DDen_AU
dc.contributor.authorCrawford, Jen_AU
dc.contributor.authorStelcer, Een_AU
dc.contributor.authorAtanacio, AJen_AU
dc.date.accessioned2014-04-01T05:36:36Zen_AU
dc.date.available2014-04-01T05:36:36Zen_AU
dc.date.issued2012-12-01en_AU
dc.date.statistics2014-04-01en_AU
dc.description.abstractOver 900 fine particle Teflon filters were collected within the Sydney Basin between 1 January 2001 and 31 December 2011 and analyzed using simultaneous PIXE, PIGE, RBS and PESA techniques to determine 21 different elements between hydrogen and lead. These elements were used in positive matrix factorization (PMF) and multi-linear engine (ME) techniques together with HYSPLIT wind back trajectory techniques to quantitatively determine source fingerprints and their contributions from coal-fired power stations. The power stations were many kilometers outside the greater Sydney metropolitan area but still had a significant impact on the fine particle mass loadings measured at the sampling site within this metropolitan area. The PM2.5 eleven year average mass at the sampling site was 6.48 mu g m(-3). The corresponding ammonium sulfate estimate was 1.65 mu g m(-3) or 26% of the PM2.5 mass. By applying back trajectory data and (ME) analysis methods, two power related fingerprints, secondary sulfate (2ndryS-Power) and aged industrial sulfur (IndSagedPower) were determined. These two power related fingerprints were responsible for between 14 and 18% of the total PM2.5 mass and 34-47% of the total sulfate measured at the sampling site. That is on average somewhere between a third and a half of all the sulfate measured in the greater Sydney region could be attributed to coal-fired power station emissions. © 2012, Elsevier Ltd.en_AU
dc.identifier.citationCohen, D. D., Crawford, J., Stelcer, E., & Atanacio, A. J. (2012). Application of positive matrix factorisation, multi-linear engine and back trajectory techniques to the quantification of coal-fired power station pollution in metropolitan Sydney. Atmospheric Environment, 61, 204-211. doi:10.1016/j.atmosenv.2012.07.037en_AU
dc.identifier.govdoc4641en_AU
dc.identifier.issn1352-2310en_AU
dc.identifier.journaltitleAtmospheric Environmenten_AU
dc.identifier.pagination204-211en_AU
dc.identifier.urihttp://dx.doi.org/10.1016/j.atmosenv.2012.07.037en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/5365en_AU
dc.identifier.volume61en_AU
dc.language.isoenen_AU
dc.publisherPergamon Elsevier Science Ltden_AU
dc.subjectMatricesen_AU
dc.subjectFactorizationen_AU
dc.subjectEnginesen_AU
dc.subjectCoalen_AU
dc.subjectPollutionen_AU
dc.subjectUrban areasen_AU
dc.titleApplication of positive matrix factorisation, multi-linear engine and back trajectory techniques to the quantification of coal-fired power station pollution in metropolitan Sydneyen_AU
dc.typeJournal Articleen_AU
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