Work

Wildfire Spread Modeling in Pau Furado State Park Using Cellular Automata and Genetic Algorithms

Year: 2025

Type: conference-paper

Abstract: Wildfire spread has intensified in Brazil, particularly in biomes such as the Cerrado, due to climate change and environmental degradation. This study proposes a heterogeneous wildfire spread model based on cellular automata (CA), optimized using genetic algorithms (GA), to simulate fire propagation in areas with different vegetation types, such as Pau Furado State Park. The model accounts for the interaction between wind, vegetation, and soil conditions, and employs the GA to adjust parameters such as fire intensity and wind direction, aiming to align the simulations with reference data. The results showed that the model accurately reproduced fire spread dynamics, demonstrating the effectiveness of GA in parameter optimization.

DOI: 10.5753/wcama.2025.8942

Authors: Maria Eugênia A. Ferreira, Danielli A. Lima, Luiz Gustavo A. Martins

Institutions: Universidade Federal de Uberlândia, Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso

Language: English

Topic: Fire effects on ecosystems

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Climate action

Open Access status: gold

Funders: Conselho Nacional de Desenvolvimento Científico e Tecnológico, Ministério da Ciência, Tecnologia, Inovações e Comunicações

Awards: G4090443852, G5304103593