File(s) not publicly available
Fire modelling Tasmanian buttongrass moorlands. III* Dead fuel moisture
journal contribution
posted on 2023-05-16, 13:04 authored by Jonathan Marsden-SmedleyJonathan Marsden-Smedley, Catchpole, WRAn 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.
History
Publication title
International Journal of Wildland FireVolume
10Pagination
241-253ISSN
1049-8001Department/School
School of Geography, Planning and Spatial SciencesPublisher
CSIRO PublishingPlace of publication
Collingwood, AustraliaRepository Status
- Restricted