Quantifying the influences of atmospheric stability on air pollution in Lanzhou, China, using a radon-based stability monitor

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dc.contributor.authorChambers, SDen_AU
dc.contributor.authorWang, Fen_AU
dc.contributor.authorWilliams, AGen_AU
dc.contributor.authorXiaodong, Den_AU
dc.contributor.authorZhang, Hen_AU
dc.contributor.authorLonati, Gen_AU
dc.contributor.authorCrawford, Jen_AU
dc.contributor.authorGriffiths, ADen_AU
dc.contributor.authorIanniello, Aen_AU
dc.contributor.authorAllegrini, Ien_AU
dc.date.accessioned2017-06-30T00:25:33Zen_AU
dc.date.available2017-06-30T00:25:33Zen_AU
dc.date.issued2015-04en_AU
dc.date.statistics2017-06-30en_AU
dc.description.abstractCommercially-available “stability monitors” based on in situ atmospheric radon progeny measurements remain underutilised as a tool for urban pollution studies, due in part to difficulties experienced in relating their standard output directly to the atmospheric mixing state in a consistent manner. The main confounding factor has been a lack of attention to the fact that the observed near-surface atmospheric radon concentration includes large synoptic and fetch-related components in addition to the local stability influence. Here, a technique recently developed for stability classification using a research-quality dual-flow-loop two-filter radon detector is adapted for use with a commercially-available radon-based stability monitor. Performance of the classification scheme is then tested in Lanzhou, China, a topographically-complex region renowned for low mean annual wind speeds (0.8 m s−1) and winter stagnation episodes. Based on an 11-month composite, a factor of seven difference is estimated between peak NOx concentrations in the city's industrial region and a rural background location under stable conditions. The radon-based scheme is evaluated against the Pasquil-Gifford “radiation” (PGR) scheme, and assigns pollutant concentrations more consistently between defined atmospheric stability states than the PGR scheme. Furthermore, the PGR scheme consistently underestimates all peak pollutant concentrations under stable conditions compared with the radon-based scheme, in some cases (e.g. CO in the industrial region) by 25%. © 2015, Elsevier Ltd.en_AU
dc.identifier.citationChambers, S. D., Wang, F., Williams, A. G., Xiaodong, D., Zhang, H., Lonati, G., Crawford, J., Griffiths, A. D., Ianniello, A., & Allegrini, I. (2015). Quantifying the influences of atmospheric stability on air pollution in Lanzhou, China, using a radon-based stability monitor. Atmospheric Environment, 107, 233-243. doi:10.1016/j.atmosenv.2015.02.016en_AU
dc.identifier.govdoc8362en_AU
dc.identifier.issn1352-2310en_AU
dc.identifier.journaltitleAtmospheric Environmenten_AU
dc.identifier.pagination233-243en_AU
dc.identifier.urihttp://dx.doi.org/10.1016/j.atmosenv.2015.02.016en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/8818en_AU
dc.identifier.volume107en_AU
dc.language.isoenen_AU
dc.publisherElsevieren_AU
dc.subjectAir pollutionen_AU
dc.subjectRadonen_AU
dc.subjectStabilityen_AU
dc.subjectAtmosphericsen_AU
dc.subjectChinaen_AU
dc.subjectPollutantsen_AU
dc.titleQuantifying the influences of atmospheric stability on air pollution in Lanzhou, China, using a radon-based stability monitoren_AU
dc.typeJournal Articleen_AU
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