Predicting Wildfire Spreading Through a Hexagonal Cellular Automata Model
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.
KeywordsCellular Automaton Forest Fire Cellular Automaton Fire Spread Cellular Automaton Model
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- 1.Albini, F.A.: Estimating wildfire behavior and effects. USDA For. Serv. Gen. Tech. Rep., INT-30 (1976)Google Scholar
- 2.Anderson, H.E.: Aids to determining fuel models for estimating fire behavior. USDA For. Serv. Gen. Tech. Rep., INT-122 (1982)Google Scholar
- 3.Anderson, H.E.: Predicting wind-driven wildland fire size and shape. USDA For. Serv. Res. Pap., INT-305 (1983)Google Scholar
- 4.Bendicenti, E., Di Gregorio, S., Falbo, F.M., Lezzi, A.: Simulations of forest fires by Cellular Automata modelling. In: Emergence in Complex, Cognitive, Social, and Biological Systems, pp. 31–40. Kluwer Academic P., Dordrecht (2002)Google Scholar
- 5.Burgan, R.E., Rothermel, R.C.: BEHAVE: Fire behavior prediction and fuel modeling system - FUEL subsystem. USDA For. Serv. Gen. Tech. Rep., INT-167 (1984)Google Scholar
- 7.Finney, M.: FARSITE: Users Guide and Technical Documentation. Missoula. MT, Systems for Environmental Management (1996)Google Scholar
- 8.Gonçalves, P., Diogo, P.: Forest Fire Modelling: A New Methodology Using Cellular Automata and Geographic Information Systems. In: Proc. of 2nd Int. Conf. on Forest Fire Research, Coimbra 21/24 November (1994)Google Scholar
- 11.Malamud, B.D., Turcotte, D.L.: Cellular Automata models applied to natural hazard. Computing in Science and Engineering 2(3), 43–51 (2000)Google Scholar
- 12.Rothermel, R.: A Mathematical Model for predicting fire Spread in Wildland Fuels, Res. Pap., INT-115. Ogden, UT, U.S. Dep. of Agr., Forest Service, Intermountain Forest and Range Experiment Station (1972)Google Scholar
- 13.Rothermel, R.: How to Predict the Spread and Intensity of Forest Fire and Range Fires, Gen. Tech. Rep., INT-143. Ogden, UT, U.S. Dep. of Agr., Forest Service, Intermountain Forest and Range Experiment Station (1983)Google Scholar
- 14.SALTUS Reports, from Europ. Res. Prog. SALTUS, Env. and Climate (1998–2000)Google Scholar
- 15.Trunfio, G.A., Bendicenti, E.: Simulations of Forest Fires by Cellular Automata – Geophysical Research Abstracts, vol. 6 (2004)Google Scholar