Uncertainty propagation in wildland fire behaviour modelling
- 1 March 2002
- journal article
- research article
- Published by Informa UK Limited in International Journal of Geographical Information Science
- Vol. 16 (2), 115-127
- https://doi.org/10.1080/13658810110099080
Abstract
Rothermel's model is the most widely used fire behaviour model in wildland fire research and management. It is a complex model that considers 17 input variables describing fuel type, fuel moisture, terrain and wind. Uncertainties in the input variables can have a substantial impact on the resulting errors and have to be considered, especially when the results are used in spatial decision making. In this paper it is shown that the analysis of uncertainty propagation can be carried out with the Taylor series method. This method is computationally cheaper than Monte Carlo and offers easy-to-use, preliminary sensitivity estimations.Keywords
This publication has 9 references indexed in Scilit:
- Global sensitivity analysis and scale effects of a fire propagation model used over Mediterranean shrublandsEcological Modelling, 2001
- Fire spread through nonhomogeneous fuel modelled as a Markov processEcological Modelling, 1989
- Stochastic SimulationWiley Series in Probability and Statistics, 1987
- BEHAVE: fire behavior prediction and fuel modeling system-BURN Subsystem, part 1Published by USDA Forest Service ,1986
- Cellular automata as models of complexityNature, 1984
- BEHAVE: fire behavior prediction and fuel modeling system--FUEL subsystemPublished by USDA Forest Service ,1984
- Handbook for inventorying surface fuels and biomass in the Interior WestPublished by USDA Forest Service ,1982
- Aids to determining fuel models for estimating fire behaviorPublished by USDA Forest Service ,1982
- Hill shading and the reflectance mapProceedings of the IEEE, 1981