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.

中文翻译：

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关键基础设施与天气相关的脆弱性建模：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，影响铁路和电力系统等关键基础设施网络。尽管基础设施网络是相互依赖的，但了解天气事件对基础设施系统影响的分析通常是在特定部门的孤岛中进行的。提出了一种检查相同天气事件如何影响不同基础设施部门的方法，以便了解极端天气对相互关联的区域基础设施的跨部门影响。以西米德兰兹郡（英国）为例，利用脆弱性模型来研究温度和降雨量对电力和铁路系统故障的影响。结果表明，温度的影响在两个基础设施网络中基本一致，在超过特定的上限和下限之前，影响较小；对于所评估的不同基础设施网络，这些阈值相似，但铁路基础设施受较低温度的影响更大。还发现电力和铁路系统故障数量与降雨量和温度之间的相关性越来越大，这表明协调准备和规划工作的价值。对于基础设施运营商和业主、区域复原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区域影响的方法。研究结果为应对极端天气事件的资源分配提供了有用的见解。