Modelling the vulnerability of urban settings to wildland–urban interface fires in Chile

Paula Aguirre, Jorge León, Constanza González-Mathiesen, Randy Román, Manuela Penas, Alonso Ogueda
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Abstract

Abstract. Wildland–urban interface (WUI) regions are particularly vulnerable to wildfires due to their proximity to both nature and urban developments, posing significant risks to lives and property. To enhance our understanding of the risk profiles in WUI areas, we analysed seven fire case studies in central Chile. We developed a mixed-method approach for conducting local-scale analyses, which involved field surveys, remote-sensing through satellite and drone imagery, and GIS-based analysis of the collected data. The methodology led to the generation of a georeferenced dataset of damaged and undamaged dwellings, including 16 variables representing their physical characteristics, spatial arrangement, and the availability of fire suppression resources. A binary classification model was then used to assess the relative importance of these attributes as indicators of vulnerability. The analysis revealed that spatial arrangement factors have a greater impact on damage prediction than the structural conditions and fire preparedness of individual units. Specifically, factors such as dwelling proximity to neighbours, distance to vegetation, proximity to the border of dwelling groups, and distance from the origin of the fire substantially contribute to the prediction of fire damage. Other structural attributes associated with less affluent homes may also increase the likelihood of damage, although further data are required for confirmation. This study provides insights for the design, planning, and governance of WUI areas in Chile, aiding the development of risk mitigation strategies for both built structures and the broader territorial area.
智利城市环境易受野地-城市交界处火灾影响的模拟
摘要野地-城市结合部(WUI)地区由于毗邻自然和城市发展,特别容易受到野火的影响,给生命和财产带来重大风险。为了加深我们对 WUI 地区风险概况的了解,我们分析了智利中部的七个火灾案例研究。我们开发了一种进行地方规模分析的混合方法,其中包括实地调查、通过卫星和无人机图像进行遥感以及对收集到的数据进行基于地理信息系统的分析。该方法生成了一个受损和未受损住宅的地理参照数据集,其中包括 16 个变量,代表了这些住宅的物理特征、空间布局以及灭火资源的可用性。然后使用二元分类模型来评估这些属性作为脆弱性指标的相对重要性。分析结果表明,与单个单元的结构条件和防火准备相比,空间布局因素对损失预测的影响更大。具体来说,住宅与邻居的距离、与植被的距离、与住宅群边界的距离以及与火源的距离等因素对火灾损失的预测有很大的帮助。与不太富裕的住宅相关的其他结构属性也可能会增加受损的可能性,但还需要进一步的数据来证实。这项研究为智利 WUI 地区的设计、规划和治理提供了启示,有助于为建筑结构和更广泛的地域制定风险缓解战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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