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Modeling the damage and recovery of interdependent critical infrastructure systems from natural hazards

机译：为相互依存的关键基础设施系统的自然灾害造成的破坏和恢复建模

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摘要

Understanding the impact of disasters to civil infrastructure network will guide strategic pre-disaster hazard mitigation and post-disaster recovery planning of a community. The facilities in civil infrastructure network depend on each other to exchange product, information or services. When disaster happens, these dependencies would aggravate the initial damage and lead to cascading failures. Thus, understanding the dependencies among infrastructure facilities is essential in modeling the damage and recovery of a community under disruptive events. This study builds upon the Dynamic Inoperability Input-output Model to assess the recovery of the civil infrastructure facilities by considering the facility-level dependencies. The recovery of the integrated network was assessed utilizing the characteristic parameters from graph theory. This methodology was demonstrated with a hypothetical infrastructure network, consisting of power, water and telecommunication systems under a hurricane. The sensitivity of the network recovery to the dependency measures was investigated, which showed that the recovery time is sensitive to the level of dependency between different systems. The proposed methodology was compared with a conventional model with system-level interdependencies and showed that considering facility-level dependencies would yield more refined result. The model was then applied to simulate the power system restoration of Galveston City, Texas under Hurricane Ike.
机译：了解灾难对民用基础设施网络的影响将指导社区的战略性灾前减灾和灾后恢复计划。民用基础设施网络中的设施彼此依赖，以交换产品，信息或服务。当灾难发生时，这些依赖性将加剧最初的损害并导致级联故障。因此，了解基础设施之间的依赖性对于建模破坏性事件下社区的破坏和恢复至关重要。这项研究基于动态不可操作性投入产出模型，通过考虑设施级别的依赖性来评估民用基础设施的恢复。利用图论的特征参数来评估集成网络的恢复。假设的基础设施网络演示了该方法，该网络由飓风下的电力，水和电信系统组成。研究了网络恢复对依赖度量的敏感性，结果表明恢复时间对不同系统之间的依赖程度敏感。将该方法与具有系统级相互依赖性的常规模型进行了比较，结果表明，考虑设施级依赖性将产生更精确的结果。然后将该模型应用于模拟飓风艾克下德克萨斯州加尔维斯顿市的电力系统恢复。

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