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Predicting Wildfire Spreading Through a Hexagonal Cellular Automata Model

  • Giuseppe A. Trunfio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3305)

Abstract

As it is well known forest fires can present serious risk to people and can have enormous environmental impact. Therefore researchers and land managers are increasingly interested in effective tools for use in scientific analyses, management and fighting operations. On the other hand forest fires are complex phenomena that need an interdisciplinary approach. In this paper the paradigm of Cellular Automata was applied and a model was projected to simulate the evolution of forest fires. The adopted method involves the definition of local rules, mainly based on fire spread relationships originally developed by Rothermel in 1972, from which the global behaviour of the system can emerge. The preliminary results show that the model could be applied for forest fire prevention, the production of risk scenarios and the evaluation of the forest fire environmental impact.

Keywords

Cellular Automaton Forest Fire Cellular Automaton Fire Spread Cellular Automaton Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Giuseppe A. Trunfio
    • 1
  1. 1.Center of High-Performance ComputingUniversity of CalabriaArcavacata, Rende, CSITALY

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