Wildland surface fire spread modelling, 1990–2007. 2: Empirical and quasi-empirical models
By Andrew L. Sullivan. 2007
493 citations recorded by the source corpus.
In recent years, advances in computational power have led to an increase in attempts to model the behaviour of wildland fires and to simulate their spread across landscape. The present series of articles endeavours to comprehensively survey and precis all types of surface fire spread models developed during the period 1990–2007. The current paper surveys models of an empirical or quasi-empirical nature. These models are based on the statistical analysis of experimentally obtained data with or without some physical framework for the basis of the relations. Other papers in the series review models of a physical or quasi-physical nature, and mathematical analogues and simulation models. The main relations of empirical models are those of wind speed and fuel moisture content with rate of forward spread. The focus of the discussion is on the treatment of the wind speed and fuel moisture functions by the models.
Subfields: Global and Planetary Change, Mechanical Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/e5c0409ebefd6a629e7b4a6416a75f74e4772174
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In Global and Planetary Change
In Mechanical Engineering
In Mechanics of Materials
Citations in the corpus
- Uncertainty and risk in wildland fire management: a review. (2011, methodology): “Continued technological advancements may allow for the use of more computationally intensive fully physical models in the near future (Sullivan, 2009a).”
- A review of machine learning applications in wildfire science and management (2020, background): “For example, the current state of the art in wildfire prediction includes physics-based simulators that fire fighters and strategic planners rely on to take many critical decisions regarding allocation of scarce firefighting resources in the event of a wildfire (A. Sullivan, 2007).”