森林火灾仿真研究综述

A review of forest fire simulation research

森林火灾对全球生态和社会经济构成了严重的威胁。因此,准确地预测山火的蔓延情况,有助于制定合理的火控方案,降低山火传播的风险。本文针对基于主体的模型、元胞自动机和机器学习方法在森林火灾仿真中的研究现状进行综述,为科研人员提供指导和参考。

Forest fires pose a serious threat to global ecology and socioeconomics.Therefore,accurate prediction of the spread of mountain fires can help to develop appropriate fire control plans and reduce the risk of their spread.Currently,many forest fire models have been developed and are classified into empirical,physical and mathematical models according to the nature of their construction.In addition,the maturity of computer development has led to the emergence of computer simulation in fire spread simulation.This paper provides a review of the current state of research on subject-based models,meta-cellular automata and machine learning methods in forest fire simulation to provide guidance and reference for researchers.