Wildfire Simulation Model Based on Cellular Automata and Stochastic Rules

被引：0

作者：

Tinoco, Claudiney R. ^{[1
]}

Ferreira, Heitor F. ^{[1
]}

Martins, Luiz G. A. ^{[1
]}

Oliveira, Gina M. B. ^{[1
]}

机构：

[1] Univ Fed Uberlandia, Sch Comp Sci, Uberlandia, MG, Brazil

来源：

CELLULAR AUTOMATA (ACRI 2022) | 2022年 / 13402卷

关键词：

Cellular automata; Stochastic rules; Wildfire simulation; Complex phenomena; Firefighting efficiency; CLIMATE-CHANGE IMPACTS; PREDICTION;

D O I：

10.1007/978-3-031-14926-9_22

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A significant increase in the occurrence of large wildfires has been observed in the last decades. Several works seek ways to attenuate the side effects of these events. In this work, it is proposed a simulation model for wildfires propagation based on stochastic cellular automata. Its main objective is to understand the dynamics of these wildfires in order to speed the decision-making on the main actions to be taken by firefighter forces. The model presents different states, fire intensities and wind currents that redirect the flames. In addition, a non-linear vegetation recovery function is proposed, which brings the model closer to the real characteristics of natural systems. According to the results obtained, it was possible to conclude that the model achieves the expected objectives, satisfactorily simulating the analysed phenomenon.

引用

页码：246 / 256

页数：11

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