Building systemic resilience of interdependent infrastructure networks at the national scale

在英国，建设国家基础设施网络对洪水和风暴事件的复原力仍然是一项重大挑战。近年来，英国各地发生的极端洪水和风暴事件影响了大量基础设施网络及其客户，造成了数千万英镑的经济损失。由于气候变化，极端洪水和风暴事件变得更加频繁，了解和模拟多个基础设施网络的冲击影响，为复原力规划提供信息，是一个具有国家重要性的主题。政府机构和基础设施运营商已经注意到，缺乏互联网络和跨部门弹性指标的连贯数据集，使得规划和应对极端大规模天气事件具有挑战性。该项目旨在通过在Dafni平台上提供一个开源建模框架来应对上述挑战，以压力测试相互依赖的网络对洪水和风暴事件的弹性。这一框架将通过一个新的全国性数据库进行演示，该数据库包含与英国建筑物和人口集中相关的相互依赖的电力、交通、供水和电信网络。创建网络风险分析方法的原始研究和数据收集是作为EPSRC资助的基础设施过渡研究联盟方案赠款的一部分，并与国家基础设施委员会一起进行的。该项目将更新这一分析，并在Dafni平台上以可访问、可重复使用和可扩展的方式实施。该项目的拟议成果将包括量化冲击对基础设施资产的破坏以及对依赖基础设施服务的人民和经济的影响。进一步的结果将包括评估跨行业的韧性选项，通过加强基础设施资产、安装服务备份和增加网络冗余来抵御、吸收和恢复冲击事件。总体而言，该项目将创建关于基础设施复原力的新模型、数据集和工具，供学术、政府和行业利益攸关方通过Dafni平台使用。该项目将有助于实现“探索复原力情景”的主题，以增强Dafni基础设施复原力分析英才中心的能力。通过Dafni平台，它将：(1)开发模型和数据集合；(2)提供工具，以探索和评估跨地点和多个基础设施的复原力情景；以及(3)向学术界、政府和行业内更广泛的利益攸关方社区展示Dafni平台。

Building resilience of national infrastructure networks to flood and storm events remains a significant challenge in the UK. In recent years extreme flood and storm events across the UK have affected large numbers of infrastructure networks and their customers, resulting in economic damages and losses of the order of tens of millions of pounds. As extreme flood and storm events become more frequent due to climate change, understanding and modelling the impacts of shocks across multiple infrastructure networks to inform resilience planning is a topic of national importance. Government agencies and infrastructure operators have noted that the lack of coherent datasets of interconnected networks and cross-sectoral resilience metrics makes it challenging to plan for and respond to extreme large-scale weather events.This project aims to address the above challenges by delivering an open-source modelling framework on the DAFNI platform for stress-testing interdependent network resilience against flood and storm events. This framework will be demonstrated through a novel national-scale database of interdependent electricity, transport, water supply, and telecoms networks connected to buildings and population concentrations in the UK. The original research and data collection that created the network risk analysis methodologies was conducted as part of the EPSRC-funded Infrastructure Transitions Research Consortium Programme Grants and with the National Infrastructure Commission. This project will update that analysis and implement it in an accessible, reusable and scalable way on the DAFNI platform. The proposed outcomes of the project will include quantifying the impacts of shocks through damages to infrastructure assets and disruptions to people and the economy dependent on infrastructure services. Further outcomes will include assessing cross-sector resilience options for resisting, absorbing and recovering from shock events, by strengthening infrastructure assets, installing service backups and increasing redundancies across networks. Overall, the project will create novel models, datasets, and tools on infrastructure resilience that will be available to academic, government and industry stakeholders via the DAFNI platform.The project will contribute towards the 'Exploring Resilience Scenarios' theme to enhance the capabilities of the DAFNI Centre of Excellence for Infrastructure Resilience Analysis. Through the DAFNI platform it will: (1) develop collections of models and data; (2) provide tools for exploring and evaluating resilience scenarios across locations and multiple infrastructures; and (3) demonstrate the DAFNI platform to the wider stakeholder community within academia, government and industry.