Particulate pollution in the Sydney region: source diagnostics and synoptic controls

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dc.contributor.authorCrawford, Jen_AU
dc.contributor.authorGriffiths, ADen_AU
dc.contributor.authorCohen, DDen_AU
dc.contributor.authorJiang, Nen_AU
dc.contributor.authorStelcer, Een_AU
dc.date.accessioned2016-04-14T23:39:00Zen_AU
dc.date.available2016-04-14T23:39:00Zen_AU
dc.date.issued2016-04-04en_AU
dc.date.statistics2016-04-15en_AU
dc.description.abstractAirborne particulate matter (PM2.5) was sampled at Richmond and Liverpool, located in the Sydney Basin, Australia, and ion beam analysis was used to obtain the elemental composition. Using self-organising maps to classify synoptic weather systems, it was found that high PM2.5 concentrations were associated with high pressure systems located to the east of the sampling sites. The highest median sulfur was associated with weak synoptic conditions and high soil dust days were more often associated with frontal systems. To investigate the effect of local flows in the Sydney Basin, the Weather Research and Forecasting model (WRF) was used to generate meteorological data of 12 km resolution. A comparison was made between back trajectories generated using the higher-resolution WRF data, the 0.5° by 0.5° Climate Forecast System data and the 1° by 1° Global Data Assimilation System data. It was found that for high soil dust days, there were small differences between the different back trajectories. However, under weak synoptic conditions (high sulfur days), the back trajectories generated from higher resolution data showed larger variations over a 24 hr period. This was attributed to the meandering of local winds and seabreezes. Lower altitude back trajectories, generated from low resolution data, passed more often over the power stations located on the western side of the Great Dividing Range (while the sampling sites are on the east). This demonstrates the need for higher resolution meteorological data for generating low altitude back trajectories when the source and receptor are separated by hilly terrain. In estimating the number of high sulfur days for which a power station was crossed, there was up to 20% difference at Liverpool and up to 10% difference at Richmond, between back trajectories starting at different altitudes and generated from meteorological data of three different resolutions. © Taiwan Association for Aerosol Researchen_AU
dc.identifier.citationCrawford, J, Griffiths, A, Cohen, D. D, Jiang, N, & Stelcer, E, (2016). Particulate pollution in the Sydney region: source diagnostics and synoptic controls. Aerosol and Air Quality Research, 16(4), 1055–1066. doi:10.4209/aaqr.2015.02.0081en_AU
dc.identifier.govdoc6539en_AU
dc.identifier.issn1680-8584en_AU
dc.identifier.issue4en_AU
dc.identifier.journaltitleAerosol and Air Quality Researchen_AU
dc.identifier.pagination1055-1066en_AU
dc.identifier.urihttps://doi.org/10.4209/aaqr.2015.02.0081en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/6738en_AU
dc.identifier.volume16en_AU
dc.language.isoenen_AU
dc.publisherGigvvy Scienceen_AU
dc.subjectPollutionen_AU
dc.subjectPlasma diagnosticsen_AU
dc.subjectPressure range mega pa 10-100en_AU
dc.subjectMeteorologyen_AU
dc.subjectSulfuren_AU
dc.subjectSoilsen_AU
dc.titleParticulate pollution in the Sydney region: source diagnostics and synoptic controlsen_AU
dc.typeJournal Articleen_AU
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