Simple models for predicting dead fuel moisture in eucalyptus forests
Stuart Matthews A B C E , Jim Gould A C and Lachie McCaw C DA Climate Adaptation Flagship – CSIRO Sustainable Ecosystems, Bellenden St, Crace, ACT 2911, Australia.
B Faculty of Agriculture, Food, and Natural Resources, Woolley Building A20, The University of Sydney, NSW 2006, Australia.
C Bushfire Cooperative Research Centre, 340 Albert St, East Melbourne, VIC 3002, Australia.
D Western Australia Department of Environment and Conservation, Brain St, Manjimup, WA 6258, Australia.
E Corresponding author. Email: stuart.matthews@csiro.au
International Journal of Wildland Fire 19(4) 459-467 https://doi.org/10.1071/WF09005
Submitted: 16 January 2009 Accepted: 21 October 2009 Published: 24 June 2010
Abstract
Fire behaviour prediction requires models of dead fuel moisture that are both accurate and suitable for use for operational applications. The paper investigates two methods of developing a simple operational fine fuel moisture model from a more complex process-based model. The first simple model is a table of fuel moisture predictions for values of air temperature, relative humidity, wind speed and solar radiation. The second model reduces the original model to a single differential equation, which may be used on low-powered computers. The simple models are tested against the output of the original model and against observations from two case studies in dry eucalyptus forest in south-western Australia. The single differential equation model was capable of reproducing the prediction of the process-based model at all times of the day, with mean error (ME) in predictions of –0.1% and mean absolute error (MAE) of 0.6%. The table model performed less well, with ME = –0.7% and MAE = 1.1% at 1500 hours, and ME = –1.2% and MAE = 3.0% at other times of the day.
Additional keywords: Eucalyptus marginata, litter layer, Western Australia.
Acknowledgements
Review comments by Sadanandan Nambiar, Miguel Cruz and Auro Almeida of CSIRO and by Jon Marsden-Smedley and an anonymous reviewer helped to improve our original manuscript.
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