Forest fire essentials: a cellular automaton-wise, percolation-oriented model
Adrian V. Gheorghe and
Dan V. Vamanu
International Journal of Critical Infrastructures, 2008, vol. 4, issue 4, 430-444
Abstract:
The forest fire model is developed by use of the cellular automata algorithmic framework, as essentially a learning and training tool meant to illustrate in an interactive and lively manner the phenomenology of this kind of occurrence, and the variety of physical factors and variables that concur in a fire ignition, spread, and extinguishing, their interlacing, the influence of the environment (terrain, season, weather) – all these as a way to suggest avenues towards fire management and response.
Keywords: forest fires; cellular automata; decision support systems; DSS; geographic information systems; GIS; fire modelling; fire management; fire response; critical infrastructures; learning; training. (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=20161 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijcist:v:4:y:2008:i:4:p:430-444
Access Statistics for this article
More articles in International Journal of Critical Infrastructures from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().