Application of receptor modelling methods

dc.contributor.authorHopke, PKen_AU
dc.contributor.authorCohen, DDen_AU
dc.date.accessioned2012-04-30T05:04:11Zen_AU
dc.date.available2012-04-30T05:04:11Zen_AU
dc.date.issued2011-04-01en_AU
dc.date.statistics2012-03-30en_AU
dc.description.abstractThe use of atmospheric compositional data for the identification and apportionment of sources has been ongoing for more than 40 years. Beginning in the 1960s, it was recognized that data analysis techniques could be applied to data and resolve combination of constituents that represent sources. In the late 1970s, these data analysis tools came to be called Receptor Models. This paper traces the early history of receptor models through those early papers and provides a historical introduction to the paper in this special issue showing the state of the art in the field and the application of these modern tools to a variety of atmospheric data. © 2011 Turkish National Committee for Air Pollution Research and Control (TUNCAP). © 2020 Elsevier B.V.en_AU
dc.identifier.citationHopke, P., & Cohen, D.D., (2011). Application of receptor modelling methods. Atmospheric Pollution Research, 2(2), 122-125. doi:10.5094/APR.2011.016en_AU
dc.identifier.govdoc3365en_AU
dc.identifier.issn1309-1042en_AU
dc.identifier.issue2en_AU
dc.identifier.journaltitleAtmospheric Pollution Researchen_AU
dc.identifier.pagination122-125en_AU
dc.identifier.urihttp://dx.doi.org/10.5094/APR.2011.016en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/4194en_AU
dc.identifier.volume2en_AU
dc.language.isoenen_AU
dc.publisherElsevieren_AU
dc.subjectMass balanceen_AU
dc.subjectSimulationen_AU
dc.subjectAtmospheric chemistryen_AU
dc.subjectData analysisen_AU
dc.subjectAir pollutionen_AU
dc.subjectAir samplersen_AU
dc.titleApplication of receptor modelling methodsen_AU
dc.typeJournal Articleen_AU
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
PHILIP_RECEPTOR MODELING_2011_4.pdf
Size:
203.64 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections