A review of wildland fire spread modelling, 1990-present 2: Empirical and quasi-empirical models
arXiv:0706.4128 · doi:10.1071/WF06142
Abstract
In recent years, advances in computational power and spatial data analysis (GIS, remote sensing, etc) have led to an increase in attempts to model the spread and behaviour of wildland fires across the landscape. This series of review papers endeavours to critically and comprehensively review all types of surface fire spread models developed since 1990. This paper reviews models of an empirical or quasi-empirical nature. These models are based solely 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 that of wind speed and fuel moisture content with rate of forward spread. Comparisons are made of the different functional relationships selected by various authors for these variables.
22 pages + 7 pages references + 2 pages tables + 2 pages figures. Submitted to International Journal of Wildland Fire
References in corpus (1)
Cited by in corpus (8)
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- Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale
- Multispectral Indices for Wildfire Management