Autômatos celulares estocásticos bidimensionais aplicados à simulação de propagação de incêndios em florestas homogêneas
Abstract
This article describes a model for forest fire spread simulation via cellular automata. This approach took into account important environmental factors such as wind direction, the flame intensity, wind speed and flammability. The model simulates a dense artificial environment through a two-dimensional lattice with identical trees. Fire is represented on a microscopic level as groups of flames that interact with their environment and may spread throughout the forest according to some rules of interaction. Preliminary results showed that the simulation can present interesting behaviors that transcribe many aspects of propagation in a real world scenario.
References
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Arai, K. (2013). Cell based gis as cellular automata for disaster spreading predictions and required data systems. Data Science Journal, 12(0):WDS154–WDS158.
Beer, T. (1990). The australian national bushfire model project. Mathematical and Computer Modelling, 13(12):49–56.
Chopard, B. and Droz, M. (1998). Cellular automata modeling of physical systems, volume 122. Springer.
Clarke, K. C., Brass, J. A., and Riggan, P. J. (1994). A cellular automation model of wildfire propagation and extinction. Photogrammetric Engineering and Remote Sensing, 60(11):1355–1367.
Dil˜ao, R. (1993). Autômatos celulares, máquinas de turing ou a natureza como máquina de cálculo. Colóquio Ciências, 12:3–20.
Hernandez, L., Hoya, S., Martan, A., and Rodriguez, G. (2007). Modelling forest fire spread using hexagonal cellular automata. Applied Mathematical Modelling, 31(6):1213 – 1227.
Karafyllidis, I. and Thanailakis, A. (1997). A model for predicting forest fire spreading using cellular automata. Ecological Modelling, 99(1):87–97.
Lima, D. A. and Castro, A. P. (2013). Autômatos celulares aplicados a modelagem de dinâmica populacional em situação de risco. In 4th Workshop of Applied Computing for the Management of the Environment and Natural Resources WCAMA 2013, Universidade Federal de Alagoas.
Oliveira, G. M. B. (2003). Automatos celulares: aspectos dinâmicos e computacionais. III Jornada de Mini-cursos em Inteligência Artificial (MCIA) - Sociedade Brasileira de Computação, 8:297 – 345.
Pereira, L. A., Duczmal, L. H., and Cruz, F. R. (2011). Simulação de evacuação emergencial via autômatos celulares: Uma proposta de modificação do modelo de schadschneider. In XXXII Congresso Nacional de Matemática Aplicada e Computacional, pages 692–698.
Rothermel, R. C. (1972). A mathematical model for predicting fire spread in wildland fuels. Master’s thesis, U.S. Department of Agriculture.
Santos, J. P. d. C. M. et al. (2007). Aplicação de um modelo de autómatos celulares `a propagação de fogos no parque natural da serra da arrábida.
Schadschneider, A. (2001). Cellular automaton approach to pedestrian dynamics-theory. arXiv preprint cond-mat/0112117.
Wolfram, S. (2002). A New Kind of Science. Wolfram Media - (1st edition): 1197 - 2006-09-19T07:35:05.000+0200.
Published
2014-07-28
How to Cite
LIMA, Danielli; LIMA, Henrique.
Autômatos celulares estocásticos bidimensionais aplicados à simulação de propagação de incêndios em florestas homogêneas. In: WORKSHOP ON COMPUTING APPLIED TO THE MANAGEMENT OF THE ENVIRONMENT AND NATURAL RESOURCES (WCAMA), 5. , 2014, Brasília.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2014
.
p. 15-24.
ISSN 2595-6124.
