MODELING USING CELLULAR AUTOMATA APPLIED TO SIMULATE THE SPREAD OF FIRES IN HETEROGENEOUS FORESTS

This work presents a computational model for wildfire propagation in heterogeneous forests, based on multi-agent systems and using cellular automata. The model takes into account different types of vegetation, wind directions, and wind speeds for simulations and tests. It incorporates specific flammability characteristics of vegetation associated with native species from the southernmost regions of South America. The goal is to identify influential aspects in wildfire spread across different vegetation types, as well as their behaviors under various conditions. The proposed model provides an alternative to aid in the study and decision-making in combating forest fires.