{"title":"森林火灾蔓延模拟的元胞自动机模型","authors":"Xuehua Wang, Chang Liu, Jiaqi Liu, Xuezhi Qin, Ning Wang, Wenjun Zhou","doi":"10.1109/SSCI.2016.7849971","DOIUrl":null,"url":null,"abstract":"In this paper, we analyze a variety of influence factors for the spreading pattern of forest fires. Rules of these crucial factors are expressed with cellular automata (CA), which has powerful simulation capacity. Specifically, we analyze the influence of combustible materials, wind, temperature, and terrain. We implement a CA Forest Fire Forecast System based on the Matlab development platform. Simulation results demonstrate that this model can be used to effectively simulate and forecast the spreading trend of forest fire in various conditions.","PeriodicalId":120288,"journal":{"name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A cellular automata model for forest fire spreading simulation\",\"authors\":\"Xuehua Wang, Chang Liu, Jiaqi Liu, Xuezhi Qin, Ning Wang, Wenjun Zhou\",\"doi\":\"10.1109/SSCI.2016.7849971\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we analyze a variety of influence factors for the spreading pattern of forest fires. Rules of these crucial factors are expressed with cellular automata (CA), which has powerful simulation capacity. Specifically, we analyze the influence of combustible materials, wind, temperature, and terrain. We implement a CA Forest Fire Forecast System based on the Matlab development platform. Simulation results demonstrate that this model can be used to effectively simulate and forecast the spreading trend of forest fire in various conditions.\",\"PeriodicalId\":120288,\"journal\":{\"name\":\"2016 IEEE Symposium Series on Computational Intelligence (SSCI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Symposium Series on Computational Intelligence (SSCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSCI.2016.7849971\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSCI.2016.7849971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A cellular automata model for forest fire spreading simulation
In this paper, we analyze a variety of influence factors for the spreading pattern of forest fires. Rules of these crucial factors are expressed with cellular automata (CA), which has powerful simulation capacity. Specifically, we analyze the influence of combustible materials, wind, temperature, and terrain. We implement a CA Forest Fire Forecast System based on the Matlab development platform. Simulation results demonstrate that this model can be used to effectively simulate and forecast the spreading trend of forest fire in various conditions.
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