研究 2002 年至 2020 年期间美国国家火灾事故报告系统中的暴露火灾

Fire Pub Date : 2024-02-29 DOI:10.3390/fire7030074
Derek J. McNamara, William E. Mell
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引用次数: 0

摘要

前因火灾引起的火灾被称为暴露火灾,可在郊区、城市和农村等不同环境中发生。值得注意的是,以野地-城市交接地带(WUI)结构破坏性火灾为代表的暴露火灾可能会延伸到非 WUI 的郊区和城市地区,从而带来巨大的挑战。本研究利用美国国家火灾事故报告系统(NFIRS)2002 年至 2020 年的数据,调查了 131,739 起影响 348,089 个地物(事件)的暴露火灾事故。我们分析了报告的经济成本、受影响的地貌类型以及这些暴露火灾的财产利用模式。我们还将这些暴露火灾与其他数据库中记录的信息进行了比较。最后,我们检查了住宅的结构隔离距离,并描述了部分火灾的点火途径。据报告,部分火灾事故造成的财产损失达 5,647,121,172 美元,内容损失共计 1,777,345,793 美元。突出的火灾事故类别包括建筑物、车辆和天然植被火灾,主要发生在住宅区、户外和仓储区。虽然 NFIRS 缺乏有关大多数破坏建筑物的 WUI 大火的信息,从而凸显了本分析缺乏统计代表性,但它确实提供了有关 WUI 和非 WUI 等其他地方未记录的较小范围火灾的信息。我们的研究揭示了受损建筑与受损建筑之间(平均距离为 6.5 米)和受损建筑与未受损建筑之间(平均距离为 18.1 米)的距离分布的显著差异。值得注意的是,84%的暴露火灾事故涉及灭火防御行动。这些防御行动导致了结构间距分布的差异,突出了这些措施在评估 WUI 火灾期间结构响应时经常被忽视的作用。我们研究了部分暴露火灾的点火途径,强调了火灾蔓延的一些共同特征以及记录这些途径所面临的挑战。最后,我们提出了一套记录暴露火灾的理想化属性,强调了在广阔的地理区域收集此类数据的固有困难,尤其是在力求统计代表性的情况下。我们的研究结果对暴露火灾的多面性提出了宝贵的见解,为未来的研究和数据库开发提供了信息,有助于减轻暴露火灾对脆弱社区的影响。
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Examining Exposure Fires from the United States National Fire Incident Reporting System between 2002 and 2020
Fires resulting from antecedent fires, known as exposure fires, can manifest across diverse environments, including suburban, urban, and rural areas. Notably, exposure fires represented by structure-destroying fires within the wildland–urban interface (WUI) can extend into non-WUI suburban and urban regions, presenting significant challenges. Leveraging data from the United States National Fire Incident Reporting System (NFIRS) spanning 2002 to 2020, this study investigates 131,739 exposure fire incidents impacting 348,089 features (incidents). We analyze reported economic costs, affected feature types, and property utilization patterns for these exposure fires. We also compare these exposure fires to information documented in other databases. Finally, we examine structure separation distance at residential dwellings and describe ignition pathways for selected fires. Reported property losses for some fire incidents amounted to USD 5,647,121,172, with content losses totaling USD 1,777,345,793. Prominent fire incident categories include buildings, vehicles, and natural vegetation fires, predominantly occurring in residential, outdoor, and storage areas. While the NFIRS lacked information on most major structure-destroying WUI fires, highlighting this analysis’s lack of statistical representation, it did provide insights into less extensive exposure fires, both WUI and non-WUI, unrecorded elsewhere. Our study reveals significant distinctions in the distribution of separation distances between damaged-to-damaged structures (average separation of 6.5 m) and damaged-to-not-damaged structures (average separation of 18.1 m). Notably, 84% of the incidents in exposure fires involved fire suppression defensive actions. These defensive actions contributed to the differences in structure separation distance distributions, highlighting the often-neglected role of these measures in assessing structure responses during WUI fires. We examined ignition pathways at select exposure fires, highlighting some common features involved in fire spread and challenges in documenting these pathways. Finally, we propose a set of idealized attributes for documenting exposure fires, accentuating the inherent difficulties in collecting such data across expansive geographical areas, particularly when striving for statistical representation. Our findings yield valuable insights into the multifaceted nature of exposure fires, informing future research and database development to aid in mitigating their impact on vulnerable communities.
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