Discrete Wildfire Simulation Case Study

IF 1.8 4区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computing in Science & Engineering Pub Date : 2024-02-15 DOI:10.1109/mcse.2023.3329413

Micah D. Schuster

引用次数: 0

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.

查看原文本刊更多论文

离散野火模拟案例研究

过去几十年来，世界各地的野火活动一直在增加。这导致野火发生频率增加，火季延长。当发现火灾时，最重要的考虑因素之一是将有限的消防资源分配到何处，以最好地控制火势并保护基础设施和城市地区。这时，强大的高分辨率火灾模拟就能发挥关键作用。目前有许多预测野火蔓延的软件应用程序，每种程序都使用了各种输入数据和技术。在本案例研究中，我们研究并实施了针对 2012 年葡萄牙塔维拉野火开发和验证的离散概率火灾模型。然后，我们模拟了美国怀俄明州西部的一场假想火灾，分析了可能的燃烧疤痕，并确定了灭火资源的最佳分配位置。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Computing in Science & Engineering 工程技术-计算机：跨学科应用

CiteScore

4.20

自引率

0.00%

发文量

审稿时长

6-12 weeks

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.