Incorporating vegetation attenuation in radiant heat flux modelling
Glenn Newnham A B C , Raphaele Blanchi A B , Kimberley Opie A B , Justin Leonard A B and Anders Siggins A B
+ Author Affiliations
- Author Affiliations
A CSIRO Land and Water Flagship, Ian Wark Laboratory, Bayview Ave, Clayton, Vic. 3168, Australia.
B Bushfire Cooperative Research Centre, Level 1, 340 Albert Street, East Melbourne, Vic. 3002, Australia.
C Corresponding author. Email: glenn.newnham@csiro.au
International Journal of Wildland Fire 24(5) 640-649 https://doi.org/10.1071/WF14090
Submitted: 23 May 2014 Accepted: 20 January 2015 Published: 1 May 2015
Abstract
Models of radiant heat flux (RHF) are critical for understanding wildfire behaviour and the effect a fire may have on homes and people. Various models have been presented in the literature for wildfire RHF, many being based on the Stephan–Boltzmann equation for radiative heat transfer. Most models simplify the fire and receiver interaction by considering a single fuel type at a given separation distance from a receiving point (e.g. on a building requiring protection). However, wildfire is an inherently spatial phenomenon, in that a fire may progress across the landscape towards a building across complex terrain and through spatially varying fuel types. This spatial variation influences the fire behaviour as well as the level of RHF incident on the building. In this study, we present methods for incorporating spatially varying topography and fuels into existing RHF modelling equations. In this way, we achieve a time-dependent profile of the RHF incident on homes, while accounting for attenuation due to fuels and topography that lie between the building and the fire front. The model is applied to the prediction of damage in a fire that occurred in South Australia in 2005. Although only coarse spatial information was available for determining the spatial distribution of fuels, modelled RHF was a significant indicator of house damage. Attenuation due to vegetation between homes and the fire was shown to reduce the modelled RHF exposure of homes. However, this was not shown to increase the significance of predicted house damage in the case of this fire event.
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