2019
DOI: 10.3390/atmos10030138
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Major Source Contributions to Ambient PM2.5 and Exposures within the New South Wales Greater Metropolitan Region

Abstract: The coupled Conformal Cubic Atmospheric Model (CCAM) and Chemical Transport Model (CTM) (CCAM-CTM) was undertaken with eleven emission scenarios segregated from the 2008 New South Wales Greater Metropolitan Region (NSW GMR) Air Emission Inventory to predict major source contributions to ambient PM 2.5 and exposure in the NSW GMR. Model results illustrate that populated areas in the NSW GMR are characterised with annual average PM 2.5 of 6-7 µg/m 3 , while natural sources including biogenic emissions, sea salt … Show more

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Cited by 26 publications
(32 citation statements)
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References 25 publications
(30 reference statements)
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“…The chemical composition of smoke is very similar, regardless of whether the source is bushfires or domestic wood-heaters [157]. Wood-heaters are a significant contribution to human sources of PM 2.5 , as discussed earlier [130,148], and measurements made during the CAUL Auburn campaign, established that the overall exposure to heightened pollution levels from smoke from domestic wood-heaters in Auburn was greater than from bushfires, despite five major bushfire pollution events during spring 2017 [157].…”
Section: Policy Options To Minimise Poor Air Quality Episodes From Smmentioning
confidence: 71%
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“…The chemical composition of smoke is very similar, regardless of whether the source is bushfires or domestic wood-heaters [157]. Wood-heaters are a significant contribution to human sources of PM 2.5 , as discussed earlier [130,148], and measurements made during the CAUL Auburn campaign, established that the overall exposure to heightened pollution levels from smoke from domestic wood-heaters in Auburn was greater than from bushfires, despite five major bushfire pollution events during spring 2017 [157].…”
Section: Policy Options To Minimise Poor Air Quality Episodes From Smmentioning
confidence: 71%
“…Such modelling comparisons help cross-validate the models, test their skill at reproducing observed atmospheric composition, and identify any flaws or problems in the way that the models are set up or run [53,147]. At the end of the comparison exercise, the validated models may be used to undertake a number of different studies with added confidence in the modelled output [143,148,149]. The air quality model comparison used two separate meteorological models (CCAM and WRF) with a total of seven different configurations and was conducted over consistent geographical domains, grid resolutions, and time periods [147].…”
Section: Caul Air Quality Modelling Comparison and Modelling Studiesmentioning
confidence: 99%
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