Critical density in a fire spread model under environmental influence

Li, X and Magill, W 2003, 'Critical density in a fire spread model under environmental influence', International Journal of Computational Intelligence and Application, vol. 3, no. 2, pp. 145-155.


Document type: Journal Article
Collection: Journal Articles

Title Critical density in a fire spread model under environmental influence
Author(s) Li, X
Magill, W
Year 2003
Journal name International Journal of Computational Intelligence and Application
Volume number 3
Issue number 2
Start page 145
End page 155
Total pages 11
Publisher Imperial College Press
Abstract Small changes in spatial pattern on a landscape can sometimes produce dramatic ecological responses. Such transition ranges are associated with critical environmental conditions such as tree density. As the landscape becomes dissected into smaller patches of trees, landscape connectivity may suddenly become disrupted, which may have important consequences for the behaviours of forest fire, i.e. how it spreads. Landscape connectivity depends not only on the tree density but also many other environmental conditions such as land height, flammability, and wind conditions. To determine how the critical densities are affected by the changes in these conditions, we developed a fire spread simulation model using a multi-agent (i.e. bottom-up) approach. This model simulates an artificial environment where bush is randomly generated and fire can be ignited and then spread across the environment according to some "interaction rules". The emergent fire spread behaviours at the landscape level are determined by such micro-level "interaction rules". This model takes into account some major environmental factors that influence fire growth. By varying these variables under controlled conditions, this research aims to show how varied environmental conditions affect the critical density, and hence influence the spread and growth of fire
Subject Artificial Life
Keyword(s) mathematical models
fire
landscapes
ecology
Copyright notice © 2003 Imperial College Press
ISSN 1469-0268
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