Receptor Modelling using PMF2: influence on source fingerprints and their contributions using different input options and measurement uncertainties

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dc.contributor.authorCrawford, Jen_AU
dc.contributor.authorCohen, DDen_AU
dc.date.accessioned2012-11-19T03:35:21Zen_AU
dc.date.available2012-11-19T03:35:21Zen_AU
dc.date.issued2012-11-01en_AU
dc.date.statistics2012-11-19en_AU
dc.description.abstractReceptor modelling is used to determine source fingerprints, from measurements at the receptor site, and then apportion the measured mass to the identified possible sources. Mathematical techniques used to solve this problem include Principal Component Analysis and multivariate techniques such as Positive Matrix Factorisation and UNMIX. In this report PMF analysis is carried out using the PMF2 program. When using PMF2 a number of options control the optimisation process and by varying the options the final solution might be impacted. In addition the uncertainties associated with the measurement have an impact on the solution. Here we systematically vary the PMF2 options and the specified uncertainties of each measurement and compare each solution to a base case solution which has recently been published for the selected dataset. The main findings were that the uncertainties in the measurements and the number of factors chosen to be recovered were the key quantities for the PMF analysis of the considered dataset.en_AU
dc.identifier.citationCrawford, J., & Cohen, D. D. (2012) Receptor Modelling using PMF2: influence on source fingerprints and their contributions using different input options and measurement uncertainties (ANSTO/E-776). Lucas Heights, NSW: Australian Nuclear Science and Technology Organisation.en_AU
dc.identifier.govdoc4644en_AU
dc.identifier.isbn1921268174en_AU
dc.identifier.issn10307745en_AU
dc.identifier.placeofpublicationLucas Heights, New South Walesen_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/4433en_AU
dc.language.isoenen_AU
dc.publisherAustralian Nuclear Science and Technology Organisationen_AU
dc.relation.ispartofseriesANSTO-E-776en_AU
dc.subjectReceptorsen_AU
dc.subjectAnalytical solutionen_AU
dc.subjectFactorizationen_AU
dc.subjectOptimizationen_AU
dc.subjectMathematical modelsen_AU
dc.subjectAir pollutionen_AU
dc.subjectAerosol monitoringen_AU
dc.titleReceptor Modelling using PMF2: influence on source fingerprints and their contributions using different input options and measurement uncertaintiesen_AU
dc.typeExternal Reporten_AU
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