PM10 Dispersion in Adelaide and Its Relationship with Rainfall

作者：Kamruzzaman Mohammad^*; Aryal Rupak; Beecham Simon; Mulcahy Dennis; Metcalfe Andrew V; Slattery Samantha; Lee Seoung Soo

来源：Water, Air, and Soil Pollution, 2015, 226(12): 400.

DOI：10.1007/s11270-015-2662-5

• Correlogram
• Generalised least squares
• Pre-whitened PM10
• Rainfall
• Wind rose model

The aim of this study is to use a range of statistical tools to assess particulate matter less than 10 mu m (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.

• 出版日期2015-12