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PM10 Dispersion in Adelaide and Its Relationship with Rainfall

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Abstract

The aim of this study is to use a range of statistical tools to assess particulate matter less than 10 μm (PM10) in the atmosphere that has been measured daily at five locations in South Australia over a 7-year period. We consider a wind rose model to provide a graphical display of the frequency distribution of wind speed to explore the role of PM10 accumulation over time. A generalised least squares technique with a first-order autoregressive model was applied to the realisation of average changes in PM10, and these were assessed at the 5 % significance level. This study found the change in variability of PM10 concentration over time. The pre-whitened PM10 series were considered as realisations of white noise using correlogram plots. Furthermore, a robust regression technique involving wet (>0.5-mm rainfall) and dry properties (<0.5-mm rainfall) was used to assess the influence of rainfall on PM10 distributions for the city of Adelaide.

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Acknowledgments

This study was funded by the Goyder Institute for Water Research under their Climate Change program. The researchers are grateful to the developers of the R project for software code and to the Australian Bureau of Meteorology for providing meteorological data.

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Authors and Affiliations

  1. Centre for Water Management and Reuse (CWMR), School of Natural and Built Environments, University of South Australia, Mawson Lakes, SA, 5095, Australia

    Mohammad Kamruzzaman, Rupak Aryal, Simon Beecham & Dennis Mulcahy

  2. School of Mathematical Sciences, University of Adelaide, Adelaide, SA, 5005, Australia

    Andrew. V. Metcalfe

  3. Australian Government - Bureau of Meteorology, South Australian Regional Forecasting Centre, Kent Town, SA, 5067, Australia

    Samantha Slattery

  4. Earth System Science Interdisciplinary Center (ESSIC), 5825 University Research Court, College Park, MD, 20740, USA

    Seoung Soo Lee

Authors
  1. Mohammad Kamruzzaman
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  2. Rupak Aryal
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  3. Simon Beecham
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  4. Dennis Mulcahy
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  5. Andrew. V. Metcalfe
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  6. Samantha Slattery
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  7. Seoung Soo Lee
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Correspondence to Mohammad Kamruzzaman.

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Kamruzzaman, M., Aryal, R., Beecham, S. et al. PM10 Dispersion in Adelaide and Its Relationship with Rainfall. Water Air Soil Pollut 226, 400 (2015). https://doi.org/10.1007/s11270-015-2662-5

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  • DOI: https://doi.org/10.1007/s11270-015-2662-5

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