Exploring the influence of wind, vegetation and water sources on the spread of forest fires in the Brazilian Cerrado Biome using Cellular Automata

  • Heitor C. Brasiel Instituto Federal do Triângulo Mineiro (IFTM)
  • Danielli A. Lima Instituto Federal do Triângulo Mineiro (IFTM)

Resumo


The fires in different Brazilian biomes have been increasingly frequent, leaving more and more consequences for the inhabitants, fauna, and flora of the affected region. Therefore, a computational model based on two-dimensional cellular automata was developed to simulate a real environment through software that predicts the behavior of the fire that starts at a predetermined location and spreads over a period of time. For the simulation, a mathematical-computational model based on cellular automata was developed in the Standard C Language, in which mathematical rules are given to order its evolution over time, generating more accurate results. Different scenarios were considered for the experiments, taking into account parameters such as combustion intensity, presence of wind, rivers, and homogeneous and heterogeneous vegetation. The results showed that these parameters can drastically affect the spread of the fire, with emphasis on the intensity of combustion in drier vegetation and the presence of water sources as a physical barrier.

Referências

Alvarado, S. T., de Carvalho, I. S., Ferraz, T. M., and Silva, T. S. (2019). Effects of fire suppression policies on fire regimes in protected areas in the cerrado. Biodiversidade Brasileira-BioBrasil, (1):200–200.

Ferreira, M. E. A., Quinta, A. L., Lima, D. A., Martins, L. G., and Oliveira, G. (2022). Automatic evolutionary adjustment of cellular automata model for forest fire propagation. In International Conference on Cellular Automata for Research and Industry, pages 235–245. Springer.

Horibe, K., Walker, K., and Risi, S. (2021). Regenerating soft robots through neural cellular automata. In Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings 24, pages 36–50. Springer.

Lima, D. A., Cabral Jr, E., Almeida, I. T., Andrade, J. P., Fonseca, J. P., Santos, M. E., Nunes, N. T., and Bernardes, V. H. (2020). A fire elitist cellular automaton-based model to verify pedestrian flow simulated in real environments using arduino. Proc. Series of the Brazilian Society of Computational and App. Mathematics, 7(1).

Lima, H. A. and Lima, D. A. (2014). Autômatos celulares estocásticos bidimensionais aplicados a simulação de propagação de incêndios em florestas homogêneas. In Workshop de Comp. Aplicada a Gestão do Meio Amb. e Rec. Naturais, pages 15–24. SBC.

Miranda, H. S., Sato, M. N., Neto, W. N., and Aires, F. S. (2009). Fires in the cerrado, the brazilian savanna. In Tropical fire ecology, pages 427–450. Springer.

Monteiro, L., Fanti, V., and Tessaro, A. (2020). On the spread of sars-cov-2 under quarantine: A study based on probabilistic cellular automaton. Ecological Complexity, 44:100879.

Schadschneider, A., Kirchner, A., and Nishinari, K. (2002). Ca approach to collective phenomena in pedestrian dynamics. In 5th ACRI, pages 239–248. Springer.
Publicado
06/08/2023
Como Citar

Selecione um Formato
BRASIEL, Heitor C.; LIMA, Danielli A.. Exploring the influence of wind, vegetation and water sources on the spread of forest fires in the Brazilian Cerrado Biome using Cellular Automata. In: WORKSHOP DE COMPUTAÇÃO APLICADA À GESTÃO DO MEIO AMBIENTE E RECURSOS NATURAIS (WCAMA), 14. , 2023, João Pessoa/PB. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 61-70. ISSN 2595-6124. DOI: https://doi.org/10.5753/wcama.2023.230476.