Authors / CoAuthors
Sanabria, L.A. | Qin, X. | Li, J. | Cechet, P.R. | Lucas, C.
Abstract
Forest fires or bushfires, as they are called in Australia, are one of the major hazards facing the Australian continent. Chen (2004) rated bushfires as the third largest cause of building damage in Australia during the 20th century. Most of this damage was due to a few extreme bushfire events. The worst of these extreme events, and one of the worst natural disasters in Australian history, occurred in February 2009 when 173 people died and over 2000 houses were destroyed in the Victorian bushfires known as 'Black Saturday' (Bushfire CRC 2009). This study is focused on determining the bushfire hazard associated with communities that are located some distance from the nearest meteorological observing. Further assessment of the bushfire risk to communities can be achieved through the association of bushfire hazard (in the form of return period FFDI) with empirical house loss (Blanchi et al. 2010). In Sanabria et al (2012) we assess the impact of climate change on bushfire hazard using high resolution climate simulations. This study shows that the best interpolation results can be obtained by using a combination of random forest and inverse distance weighting. The interpolated maps using this combination showed physically plausible results and gave the smallest prediction errors.
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nonGeographicDataset
eCat Id
74297
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Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
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2601
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Keywords
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- External PublicationScientific Journal Paper
- ( Theme )
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- risk assessment
- ( Theme )
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- marine
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Earth Sciences
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- Published_Internal
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2012-01-01T00:00:00
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