{"title":"Discrete Wildfire Simulation Case Study","authors":"Micah D. Schuster","doi":"10.1109/mcse.2023.3329413","DOIUrl":null,"url":null,"abstract":"Wildfire activity around the world has been increasing for the past several decades. This has led to increased frequency of wildfires and longer fire seasons. When a fire is detected, one of the most important considerations is where to allocate limited firefighting resources to best contain the fire and protect infrastructure and urban areas. This is where robust, high-resolution fire simulations can play a critical role. Many software applications currently exist that predict the propagation of wildfires, each using a variety of input data and techniques. In this case study, we examine and implement a discrete probabilistic fire model developed and validated for the 2012 Tavira wildfire in Portugal. We then simulate a hypothetical fire in western Wyoming, USA, analyze the probable burn scar, and determine where firefighting resources are best allocated.","PeriodicalId":10553,"journal":{"name":"Computing in Science & Engineering","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computing in Science & Engineering","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/mcse.2023.3329413","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
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Abstract
Wildfire activity around the world has been increasing for the past several decades. This has led to increased frequency of wildfires and longer fire seasons. When a fire is detected, one of the most important considerations is where to allocate limited firefighting resources to best contain the fire and protect infrastructure and urban areas. This is where robust, high-resolution fire simulations can play a critical role. Many software applications currently exist that predict the propagation of wildfires, each using a variety of input data and techniques. In this case study, we examine and implement a discrete probabilistic fire model developed and validated for the 2012 Tavira wildfire in Portugal. We then simulate a hypothetical fire in western Wyoming, USA, analyze the probable burn scar, and determine where firefighting resources are best allocated.
期刊介绍：
Physics, medicine, astronomy -- these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering presents scientific and computational contributions in a clear and accessible format.
The computational and data-centric problems faced by scientists and engineers transcend disciplines. There is a need to share knowledge of algorithms, software, and architectures, and to transmit lessons-learned to a broad scientific audience. CiSE is a cross-disciplinary, international publication that meets this need by presenting contributions of high interest and educational value from a variety of fields, including—but not limited to—physics, biology, chemistry, and astronomy. CiSE emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques. CiSE publishes peer-reviewed research articles, and also runs departments spanning news and analyses, topical reviews, tutorials, case studies, and more.
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