大洪水
关键基础设施
弹性(材料科学)
漫滩
洪水(心理学)
相互依存
环境资源管理
人口
环境规划
业务
环境科学
地理
计算机科学
计算机安全
地图学
心理治疗师
法学
社会学
考古
人口学
心理学
物理
热力学
政治学
作者
Raghav Pant,Scott Thacker,Jim W. Hall,David Alderson,Stuart Barr
摘要
Critical national infrastructures, including energy, transport, digital communications, and water, are prone to flood damage. Their geographical extent is a determinant of, and is determined by, patterns of human development, which is often concentrated in floodplains. It is important to understand how infrastructure systems react to large‐scale flooding. In this paper, we present an integrated framework for critical infrastructure flood impact assessment. Within this integrated framework, we represent interdependent infrastructure assets through spatial network models. We quantify infrastructure flood impacts in terms of disrupted customers linked directly to flood assets and customers disrupted indirectly due to network effects. The analysis shows how spatial network models inform flood risk management practitioners to identify and compare critical infrastructures risks on flooded and non‐flooded land, for prioritising flood protection investments and improve resilience of cities. A case study of the Thames catchment in England is presented, which contains key infrastructure assets and highest population concentrations in United Kingdom.
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