Incorporation of Radon-222 as a parameter in ME-2 to improve apportionment of PM2.5 sources in the Sydney region

Simple item page
dc.contributor.authorCrawford, Jen_AU
dc.contributor.authorCohen, DDen_AU
dc.contributor.authorChambers, SDen_AU
dc.contributor.authorWilliams, AGen_AU
dc.contributor.authorStelcer, Een_AU
dc.date.accessioned2015-09-30T02:20:33Zen_AU
dc.date.available2015-09-30T02:20:33Zen_AU
dc.date.issued2015-12-01en_AU
dc.date.statistics2015-09-18en_AU
dc.description.abstractIn recent years source apportionment of observed PM2.5 has been improved by incorporating meteorological information as additional factors in receptor modelling studies using ME-2. In this study we replace one of these meteorological factors, namely, parameterisation by wind speed, with a parameterisation based on hourly observations of the naturally occurring terrestrial gas Radon-222 (radon), and compare results of the two parameterisations over five years at an inland site in the Greater Sydney Region. The efficacy of the wind speed and radon parameterisation techniques is assessed by comparing regressions between the daily contributions from identified elemental fingerprints estimated from the wind speed and radon multi-linear models against those obtained from the corresponding bi-linear model (while the two models are solved simultaneously). The radon parameterisation yielded improved regressions for all source fingerprints, most notably Smoke and Autos (r2 ¼ 0.67 and 0.65, respectively, compared to 0.57 and 0.47 when the wind speed parameterisationwas used). Both parameterisation schemes were equally effective in attributing PM2.5 to wind sectors known to contain sources characterised by the observed fingerprints. Our findings demonstrate that incorporating radon as a parameter in ME-2 can lead to an improved PM2.5 source apportionment than that obtained using meteorological parameters alone, particularly for inland sites with distributed sources. © 2013, Elsevier Ltd.en_AU
dc.identifier.citationCrawford, J., Cohen, D. D., Chambers, S., Williams, A., & Stelcer, E. (2013). Incorporation of Radon-222 as a parameter in ME-2 to improve apportionment of PM2.5 sources in the Sydney region. Atmospheric Environment, 80, 378-388. doi:10.1016/j.atmosenv.2013.08.015en_AU
dc.identifier.govdoc6086en_AU
dc.identifier.issn1352-2310en_AU
dc.identifier.journaltitleAtmospheric Environmenten_AU
dc.identifier.pagination378-388en_AU
dc.identifier.urihttp://dx.doi.org/10.1016/j.atmosenv.2013.08.015en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/6281en_AU
dc.identifier.volume80en_AU
dc.language.isoenen_AU
dc.publisherElsevieren_AU
dc.subjectIon beamsen_AU
dc.subjectWinden_AU
dc.subjectRadon 222en_AU
dc.subjectMeteorologyen_AU
dc.subjectReceptorsen_AU
dc.subjectFine particlesen_AU
dc.subjectSimulationen_AU
dc.titleIncorporation of Radon-222 as a parameter in ME-2 to improve apportionment of PM2.5 sources in the Sydney regionen_AU
dc.typeJournal Articleen_AU
Files
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Journal Articles