Building systemic resilience of interdependent infrastructure networks at the national scale

在国家范围内建立相互依存的基础设施网络的系统弹性

• 批准号: ST/Y003780/1
• 负责人: Raghav Pant
• 金额: $ 42.9万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=ST%2FY003780%2F1
• 关键词: Building; systemic; resilience; interdependent; infrastructure

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.

建设国家基础设施网络抵御洪水和风暴事件的能力仍然是英国的一项重大挑战。近年来，英国各地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和损失。由于气候变化，极端洪水和风暴事件变得更加频繁，了解和建模多个基础设施网络的冲击影响，为复原力规划提供信息是国家重要的主题。政府机构和基础设施运营商注意到，由于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变得具有挑战性。该项目旨在通过提供开放的-DAFNI 平台上的源建模框架，用于对相互依赖的网络抵御洪水和风暴事件的弹性进行压力测试。该框架将通过一个新颖的国家级数据库来展示，该数据库包含与英国建筑物和人口集中区相连的相互依赖的电力、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 资助的基础设施转型研究联盟计划拨款的一部分并与国家基础设施委员会合作进行的。该项目将更新该分析，并在 DAFNI 平台上以可访问、可重用和可扩展的方式实施它。该项目的拟议成果将包括量化基础设施资产受损以及对依赖基础设施服务的人民​​和经济造成的冲击所造成的影响。进一步的成果将包括通过加强基础设施资产、安装服务备份和增加整个网络的冗余来评估跨部门抵御、吸收和恢复冲击事件的弹性选项。总体而言，该项目将创建有关基础设施复原力的新颖模型、数据集和工具，通过 DAFNI 平台向学术界、政府和行业利益相关者提供这些模型、数据集和工具。该项目将为“探索复原力场景”主题做出贡献，以增强基础设施复原力的能力DAFNI 基础设施弹性分析卓越中心。通过 DAFNI 平台，它将：（1）开发模型和数据集合； (2) 提供用于探索和评估跨地点和多个基础设施的弹性场景的工具； (3) 向学术界、政府和行业内更广泛的利益相关者社区展示 DAFNI 平台。