Parameter analysis in Probabilistic Cellular Automaton model for fire spread simulation in Sete Cidades National Park
Resumo
This study investigates forest fire dynamics in Sete Cidades National Park, a Cerrado Biome area, using cellular automaton models. We examine how varying wind speeds and vegetation scenarios affect fire spread, analyzing their impact on burned area expansion. By simulating fire spread across varied landscapes, we analyze the impact of wind velocities w = {5, 20} on the expansion of burned areas over successive iterations, roughly doubling the burned area (b) rate. Heterogeneous vegetation varies in fire susceptibility, with certain scenarios, like Rupestrian Cerrado and Clean Camps, suffering more damage. Our simulations can aid wildfire management, emphasizing the importance of considering environmental factors to effectively mitigate fire risks in the Cerrado biome.
Referências
Araújo, K. C., Andrade, E. B., Brasileiro, A. C., Benício, R. A., Sena, F. P., Silva, R. A., and Ávila, R. W. (2020). Anurans of sete cidades national park, piauístate, northeastern brazil. Biota Neotropica, 20. e20201061.
Brasiel, H. C. and Lima, D. A. (2023). Exploring the influence of wind, vegetation and water sources on the spread of forest fires in the brazilian cerrado biome using cellular automata. In Anais do XIV Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais, pages 61–70. SBC.
Castro, N. M. C. F., Pôrto, K. C., Yano, O., and Castro, A. A. J. F. (2002). Levantamento florístico de bryopsida de cerrado e mata ripícola do parque nacional de sete cidades, piauí, brasil. Acta Botanica Brasilica, 16:61–76.
Eloy, L., Schmidt, I. B., Borges, S. L., Ferreira, M. C., and dos Santos, T. A. (2019). Seasonal fire management by traditional cattle ranchers prevents the spread of wildfire in the brazilian cerrado. Ambio, 48:890–899.
Ferreira, M. E. A., Quinta, A. L. M. P., Lima, D. A., Martins, L. G. A., and Oliveira, G. M. B. (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.
Jellouli, O. and Bernoussi, A. S. (2022). The impact of dynamic wind flow behavior on forest fire spread using cellular automata: Application to the watershed boukhalef (morocco). Ecological Modelling, 468:109938.
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 Computação Aplicada a Gestão do Meio Ambiente e Recursos Naturais, pages 15–24. SBC.
Matos, M. Q. and Felfili, J. M. (2010). Florística, fitossociologia e diversidade da vegetação arbórea nas matas de galeria do parque nacional de sete cidades (pnsc), piauí, brasil. Acta botânica brasílica, 24:483–496.
Oliveira, M. E. A., Martins, F. R., Castro, A. A. J. F., and Santos, J. D. (2007). Classes de cobertura vegetal do parque nacional de sete cidades (transição campo-floresta) utilizando imagens tm/landsat, ne do brasil. In XIII Simpósio Brasileiro de Sensoriamento Remoto, page 13.
Schadschneider, A., Eilhardt, C., Nowak, S., and Will, R. (2011). Towards a calibration of the floor field cellular automaton. In Pedestrian and evacuation dynamics, pages 557–566. Springer US.
Zan, Y., Li, D., and Fu, X. (2022). Emulation of forest fire spread using resnet and cellular automata. In 2022 7th International Conference on Computer and Communication Systems (ICCCS), pages 109–114. IEEE.
Zheng, X., Lei, Q., Yao, R., Gong, Y., and Yin, Q. (2018). Image segmentation based on adaptive k-means algorithm. EURASIP Journal on Image and Video Processing, 2018(1):1–10.