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Fire modelling Tasmanian buttongrass moorlands. III* Dead fuel moisture
journal contributionposted on 2023-05-16, 13:04 authored by Jonathan Marsden-SmedleyJonathan Marsden-Smedley, Catchpole, WR
An experimental program was carried out in Tasmanian buttongrass moorlands to develop fire behaviour prediction models for improving fire management. This paper describes the results of the fuel moisture modelling section of this project. A range of previously developed fuel moisture prediction models are examined and three empirical dead fuel moisture prediction models are developed. McArthur's grassland fuel moisture model gave equally good predictions as a linear regression model using humidity and dew-point temperature. The regression model was preferred as a prediction model as it is inherently more robust. A prediction model based on hazard sticks was found to have strong seasonal effects which need further investigation before hazard sticks can be used operationally.
Publication titleInternational Journal of Wildland Fire
Department/SchoolSchool of Geography, Planning and Spatial Sciences
Place of publicationCollingwood, Australia