In today’s world, forest fires have become a global threat to both animals and humans. These fires are occurring more frequently and are increasingly difficult to contain. Due to global warming, firefighters struggle to keep up with the rapid expansion of forest fires. Although they employ sophisticated techniques to halt the spread of fires, these methods often demand substantial resources and physical strength, sometimes proving insufficient.
Our objective is to create a model of cellular automata and conduct simulations based on simple rules of fire expansion. By doing so, we aim to identify a distribution of trees and gather useful information that can be applied in real-life scenarios. Discovering specific patterns will help balance fire expansion and the preservation of trees, ultimately providing firefighters with a more efficient and effective strategy.
In this article, we present 3 approaches to solving the problem as well as the solution we found.
Our objective is to create a model of cellular automata and conduct simulations based on simple rules of fire expansion. By doing so, we aim to identify a distribution of trees and gather useful information that can be applied in real-life scenarios. Discovering specific patterns will help balance fire expansion and the preservation of trees, ultimately providing firefighters with a more efficient and effective strategy.
In this article, we present 3 approaches to solving the problem as well as the solution we found.