Weather-related fragility modelling of critical infrastructure: a power and railway case study

IF 0.4 4区 工程技术 Q4 ENGINEERING, CIVIL Proceedings of the Institution of Civil Engineers-Civil Engineering Pub Date : 2024-02-12 DOI:10.1680/jcien.23.00115
Zixuan Jia, Daniel L Donaldson, Emma Ferranti
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Abstract

Climate change has led to more frequent and severe extreme weather events, which impact critical infrastructure networks such as railway and power systems. Although infrastructure networks are interdependent, the analysis to understand the impact of weather events on infrastructure systems is usually performed in sector-specific silos. A methodology to examine how the same weather events affect different infrastructure sectors is presented, in order to understand cross-sectoral impact of extreme weather for interconnected regional infrastructure. Fragility modelling was used to examine the impact of temperature and rainfall on power and rail system failures using the West Midlands (in the UK) as a case study. The results demonstrated that the impact of temperature was broadly consistent across both infrastructure networks, showing less impact until specific upper and lower thresholds are passed; these thresholds were found to be similar for the different infrastructure networks evaluated, but railway infrastructure was found to be impacted more by lower temperatures. A growing correlation between the number of faults on power and railway systems was also found for both rainfall and temperature, indicating the value in coordinating preparation and planning efforts. For infrastructure operators and owners, regional resilience forums and other decision makers, this study provides an approach to assess the regional impact of extreme weather across multiple infrastructure sectors. The results give useful insights to inform the allocation of resources in response to extreme weather events.
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关键基础设施与天气有关的脆弱性建模:电力和铁路案例研究
气候变化导致极端天气事件更加频繁和严重,对铁路和电力系统等关键基础设施网络造成影响。虽然基础设施网络是相互依存的,但为了解天气事件对基础设施系统的影响而进行的分析通常是在特定部门的孤岛上进行的。为了了解极端天气对相互连接的区域基础设施的跨部门影响,本文介绍了一种研究相同天气事件如何影响不同基础设施部门的方法。以英国西米德兰兹郡为案例,使用脆弱性建模来研究温度和降雨对电力和铁路系统故障的影响。结果表明,气温对两个基础设施网络的影响大致相同,在超过特定的上限和下限阈值之前,气温的影响较小;这些阈值对于所评估的不同基础设施网络是相似的,但铁路基础设施受较低气温的影响更大。在降雨和温度方面,电力和铁路系统故障数量之间的相关性也越来越大,这表明了协调准备和规划工作的价值。对于基础设施运营商和所有者、地区抗灾能力论坛和其他决策者来说,这项研究提供了一种评估极端天气对多个基础设施部门的地区影响的方法。研究结果为应对极端天气事件的资源分配提供了有益的启示。
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来源期刊
CiteScore
1.60
自引率
25.00%
发文量
68
审稿时长
>12 weeks
期刊介绍: Civil Engineering, listed by the Web of Science, is the ICE''s flagship journal. Practical and diverse in its scope, it publishes overview papers for the non-specialist on any subject relevant to civil engineering today. Topics range from landmark projects to philosophical, ethical, environmental, management and safety issues. Peer review, copyediting, and colour publication by Civil Engineering are free. If accepted, published papers are easily found by Google search, as well as in specialist citation indexes. There is also the option of making your article open access, should you wish to. Published authors receive a free electronic copy of their article to share with their peers. Furthermore, as well exposure to ICE''s 91,000-strong membership, published papers are promoted via our social media channels, accessing the wider civil engineering community. It is free to submit a paper to this journal. Papers appear Ahead of Print (below) as soon as they are ready to be published. Ahead of print articles are fully citable. using the DOI system
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