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Proposed methodology for risk analysis of interdependent critical infrastructures to extreme weather events

机译:相互依赖的关键基础设施对极端天气事件的风险分析的建议方法

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Growing scientific evidence suggests that risks due to failure of critical infrastructures (CIs) will increase worldwide, as the frequency and intensity of extreme weather events (EWEs) induced by climate change increases. Such risks are difficult to estimate due to the increasing complexity and interconnectedness of CIs and because information sharing regarding the vulnerabilities of the different CIs is limited. This paper proposes a methodology for risk analysis of systems of interdependent CIs to EWEs. The methodology is developed and carried out for the Port of Rotterdam area in the Netherlands, which is used as a case study. The case study includes multiple CIs that belong to different sectors and can be affected at the same time by an initiating EWE. The proposed methodology supports the assessment of common cause failures that cascade across CIs and sectors. It is based on a simple, user-friendly approach that can be used by CIs owners and operators. The implementation of the methodology has shown that the severity of cascading effects is strongly influenced by the recovery time of the different CIs due to the initiating EWE and that cascading effects that result from a disruption in a single CI develop differently from cascading effects that result from common cause failures. For most CIs, vulnerabilities from EWEs on the CI level will be higher than the cascading risks of common cause failures on the system of CIs; moreover, cascading risks for a CI will increase after its recovery from the event. (C) 2018 Elsevier B.V. All rights reserved.
机译:越来越多的科学证据表明,随着气候变化引发的极端天气事件(EWE)的频率和强度的增加,全球范围内由于关键基础设施(CI)失效而带来的风险将会增加。由于CI的复杂性和互连性不断增加,并且有关不同CI的漏洞的信息共享受到限制,因此难以估计此类风险。本文提出了一种针对相互依赖的CI到EWE的系统进行风险分析的方法。该方法是为荷兰的鹿特丹港地区开发和实施的,作为案例研究。案例研究包括多个属于不同部门的配置项,并且可能会受到启动EWE的同时影响。所提出的方法支持对跨CI和部门级联的常见原因故障的评估。它基于CI所有者和运营商可以使用的简单,用户友好的方法。该方法的实施表明,级联效应的严重性受启动EWE的不同CI的恢复时间的影响很大,并且单个CI中断所导致的级联效应与由以下原因导致的级联效应不同常见原因失败。对于大多数配置项,在配置项级别上来自EWE的漏洞的风险将高于配置项系统上常见原因失败的级联风险;此外,配置项从事件中恢复后的级联风险将会增加。 (C)2018 Elsevier B.V.保留所有权利。

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