Development of a model for particulate matter pollution in Australia with implications for other satellite-based models

Estimating exposure to particulate matter (PM10) air pollution concentrations in Australia is challenging due to relatively few monitoring sites relative to the geographic distribution of the population. We modelled daily ground-level PM10 concentrations for the period 2006–2011 for Australia using...

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Main Authors: Pereira, Gavin, Lee, H., Bell, M., Regan, Annette, Malacova, Eva, Mullins, Ben, Knibbs, L.
Format: Journal Article
Published: Academic Press 2017
Online Access:http://hdl.handle.net/20.500.11937/55690
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author Pereira, Gavin
Lee, H.
Bell, M.
Regan, Annette
Malacova, Eva
Mullins, Ben
Knibbs, L.
author_facet Pereira, Gavin
Lee, H.
Bell, M.
Regan, Annette
Malacova, Eva
Mullins, Ben
Knibbs, L.
author_sort Pereira, Gavin
building Curtin Institutional Repository
collection Online Access
description Estimating exposure to particulate matter (PM10) air pollution concentrations in Australia is challenging due to relatively few monitoring sites relative to the geographic distribution of the population. We modelled daily ground-level PM10 concentrations for the period 2006–2011 for Australia using linear mixed models with satellite remote-sensed AOD, land-use and geographical variables as predictors. The variation in daily PM10 explained by the model was 51% for Australia overall, and ranged from 51% for Tasmania to 78% for South Australia. Cross-validation indicated that the models were most suitable for prediction in New South Wales and Victoria and least suitable for prediction in Western Australia, the Australian Capital Territory and Tasmania. Most of the variation in PM10 concentrations was explained by temporal rather than spatial variation. The inclusion of AOD and other predictors did not substantially improve model performance. Temporal models were sufficient to account for daily PM10 variation recorded by statutory monitors.
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format Journal Article
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institution Curtin University Malaysia
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last_indexed 2025-11-14T10:03:47Z
publishDate 2017
publisher Academic Press
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spelling curtin-20.500.11937-556902019-07-29T05:22:08Z Development of a model for particulate matter pollution in Australia with implications for other satellite-based models Pereira, Gavin Lee, H. Bell, M. Regan, Annette Malacova, Eva Mullins, Ben Knibbs, L. Estimating exposure to particulate matter (PM10) air pollution concentrations in Australia is challenging due to relatively few monitoring sites relative to the geographic distribution of the population. We modelled daily ground-level PM10 concentrations for the period 2006–2011 for Australia using linear mixed models with satellite remote-sensed AOD, land-use and geographical variables as predictors. The variation in daily PM10 explained by the model was 51% for Australia overall, and ranged from 51% for Tasmania to 78% for South Australia. Cross-validation indicated that the models were most suitable for prediction in New South Wales and Victoria and least suitable for prediction in Western Australia, the Australian Capital Territory and Tasmania. Most of the variation in PM10 concentrations was explained by temporal rather than spatial variation. The inclusion of AOD and other predictors did not substantially improve model performance. Temporal models were sufficient to account for daily PM10 variation recorded by statutory monitors. 2017 Journal Article http://hdl.handle.net/20.500.11937/55690 10.1016/j.envres.2017.07.044 Academic Press fulltext
spellingShingle Pereira, Gavin
Lee, H.
Bell, M.
Regan, Annette
Malacova, Eva
Mullins, Ben
Knibbs, L.
Development of a model for particulate matter pollution in Australia with implications for other satellite-based models
title Development of a model for particulate matter pollution in Australia with implications for other satellite-based models
title_full Development of a model for particulate matter pollution in Australia with implications for other satellite-based models
title_fullStr Development of a model for particulate matter pollution in Australia with implications for other satellite-based models
title_full_unstemmed Development of a model for particulate matter pollution in Australia with implications for other satellite-based models
title_short Development of a model for particulate matter pollution in Australia with implications for other satellite-based models
title_sort development of a model for particulate matter pollution in australia with implications for other satellite-based models
url http://hdl.handle.net/20.500.11937/55690