飓风对沿海社区造成危害的多灾种社会物理恢复力评估

Omar M. Nofal , Kooshan Amini , Jamie E. Padgett , John W. van de Lindt , Nathanael Rosenheim , Yousef M. Darestani , Amin Enderami , Elaina J. Sutley , Sara Hamideh , Leonardo Duenas-Osorio
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引用次数: 1

摘要

飓风引发的危害可能会对建筑环境造成重大破坏,进而对家庭、社会机构和当地经济产生重大影响。尽管量化飓风引发的危害的物理影响对于风险分析至关重要,但对于社区复原力规划来说,这是必要的,但还不够。虽然在建筑和社区层面对飓风风险和恢复评估进行了几项研究,但很少有研究关注物理和社会干扰的耦合关系,特别是在描述沿海多重灾害情况下的恢复时。因此,本研究提出了一种综合方法,通过考虑建筑环境的物理破坏和功能以及随时间推移的人口动态,来量化飓风引发的多种危害(如风、风暴潮、波浪)后的社会物理破坏。具体而言,建筑物、电力和交通基础设施的高分辨率脆弱性模型捕捉了飓风荷载对建筑环境的综合影响。除了通过跟踪基础设施网络性能指标(如基本设施的使用情况)来模拟恢复外,这种耦合的社会物理方法还预测了受建筑和基础设施恢复限制的灾后人口错位以及住房和家庭恢复的时间演变。研究结果表明,在社区的破坏和恢复评估中,多重危险考虑的相对重要性,以及在评估住房恢复或紧急避难所需求等指标时,相互依存的社会物理系统建模的作用。此外,本文提出的方法为沿海社区的复原力知情决策奠定了基础。
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Multi-hazard socio-physical resilience assessment of hurricane-induced hazards on coastal communities

Hurricane-induced hazards can result in significant damage to the built environment cascading into major impacts to the households, social institutions, and local economy. Although quantifying physical impacts of hurricane-induced hazards is essential for risk analysis, it is necessary but not sufficient for community resilience planning. While there have been several studies on hurricane risk and recovery assessment at the building- and community-level, few studies have focused on the nexus of coupled physical and social disruptions, particularly when characterizing recovery in the face of coastal multi-hazards. Therefore, this study presents an integrated approach to quantify the socio-physical disruption following hurricane-induced multi-hazards (e.g., wind, storm surge, wave) by considering the physical damage and functionality of the built environment along with the population dynamics over time. Specifically, high-resolution fragility models of buildings, and power and transportation infrastructures capture the combined impacts of hurricane loading on the built environment. Beyond simulating recovery by tracking infrastructure network performance metrics, such as access to essential facilities, this coupled socio-physical approach affords projection of post-hazard population dislocation and temporal evolution of housing and household recovery constrained by the building and infrastructure recovery. The results reveal the relative importance of multi-hazard consideration in the damage and recovery assessment of communities, along with the role of interdependent socio-physical system modeling when evaluating metrics such as housing recovery or the need for emergency shelter. Furthermore, the methodology presented here provides a foundation for resilience-informed decisions for coastal communities.

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