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Simulating forest fire spread and fire-fighting using cellular automata

机译:使用蜂窝自动机模拟森林火灾传播和消防

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摘要

In response to the transboundary haze problem in Southeast Asia, a physical model is adopted to simulate the spread and extinguishing of fire. This study is done in the context of Dumai, Indonesia, as it is one of the areas that significantly contribute to the haze problem. This model aims to provide perspectives on the persistence of forest fires despite fire-fighting efforts. While existing models using Huygens' principle of wave propagation allow an understanding of the natural spread of fire, our model applies cellular automata to predict and analyse the effects of fire-fighting intervention strategies, with the spatial and propagation dynamics of fire considered. Cellular automata is an active area of research among physicists, and is widely used by chemists and biologists to model many types of natural phenomena. We note similarities between our model predictions and observations of real-world phenomena. Analyses on the factors that affect the spread of fire are presented, in order to understand which ones are dominant in differing situations. This provides insights on optimum conditions for fire-fighting efforts, and suggests guidelines that may be considered for fire control in future forest fires.
机译:为了应对东南亚跨界阴霾问题,采用了物理模型来模拟着火和灭火。这项研究是在印度尼西亚Dumai的背景下完成的,因为它是显着贡献阴霾问题的领域之一。尽管消防努力,这种模式旨在提供森林火灾持久性的观点。虽然现有模型的利用Huygens的波浪传播原则允许了解火灾的自然蔓延,但我们的模型应用蜂窝自动机预测和分析消防干预策略的影响,以及考虑的火灾的空间和传播动态。蜂窝自动机是物理学家中的一个活跃的研究领域,被化学家和生物学家广泛使用,以模拟许多类型的自然现象。我们注意到我们的模型预测与现实世界现象的观察之间的相似之处。介绍了影响火灾传播的因素的分析,以了解哪些在不同情况下的占主导地位。这为消防努力的最佳条件提供了见解,并建议在未来的森林火灾中可能考虑对火灾控制的准则。

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