Please use this identifier to cite or link to this item: https://apo.ansto.gov.au/dspace/handle/10238/4194
Title: Application of receptor modelling methods
Authors: Hopke, PK
Cohen, DD
Keywords: Mass balance
Simulation
Atmospheric chemistry
Data analysis
Air pollution
Air samplers
Issue Date: 1-Apr-2011
Publisher: Elsevier
Citation: Hopke, P., & Cohen, D.D., (2011). Application of receptor modelling methods. Atmospheric Pollution Research, 2(2), 122-125. doi:10.5094/APR.2011.016
Abstract: The 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.
Gov't Doc #: 3365
URI: http://dx.doi.org/10.5094/APR.2011.016
http://apo.ansto.gov.au/dspace/handle/10238/4194
ISSN: 1309-1042
Appears in Collections:Journal Articles

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