Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/103182
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Type: Journal article
Title: PM₁₀ dispersion in Adelaide and Its relationship with rainfall
Other Titles: PM(10) dispersion in Adelaide and Its relationship with rainfall
Author: Kamruzzaman, M.
Aryal, R.
Beecham, S.
Mulcahy, D.
Metcalfe, A.
Slattery, S.
Lee, S.
Citation: Water, Air, and Soil Pollution, 2015; 226(12):400-1-400-10
Publisher: Springer
Issue Date: 2015
ISSN: 0049-6979
1573-2932
Statement of
Responsibility: 
Mohammad Kamruzzaman, Rupak Aryal, Simon Beecham, Dennis Mulcahy, Andrew. V. Metcalfe, Samantha Slattery, Seoung Soo Lee
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 firstorder 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.
Keywords: Correlogram; generalised least squares; pre-whitened PM10; rainfall; wind rose model
Rights: © Springer International Publishing Switzerland 2015
RMID: 0030042109
DOI: 10.1007/s11270-015-2662-5
Appears in Collections:Mathematical Sciences publications

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