Journal of Flood Risk Management · 2016 · 189 citations · 19 references
PlanningGeographyInfrastructure PlanningFlood Risk ManagementInfrastructure Systems AnalysisSpatial AnalysisCritical Infrastructure Hazard IdentificationCritical Infrastructure Risk AssessmentFlood Risk AssessmentFlood Risk ReductionInfrastructure ResilienceUrban ResilienceCritical Infrastructure ExposureCritical Infrastructure Flood ProtectionCritical Infrastructure RiskFlood Exposure ModelingFlood Impact ModelingFlood RiskInterdependent Infrastructure NetworksSpatial Network Models
Critical national infrastructures such as energy, transport, digital communications, and water are vulnerable to flood damage, and their distribution is shaped by human development concentrated in floodplains, making it essential to understand their response to large‑scale flooding. The paper presents an integrated framework for assessing critical infrastructure flood impact. The framework models interdependent infrastructure assets as spatial networks, quantifies impacts by counting directly and indirectly disrupted customers, and is illustrated with a Thames catchment case study. The analysis demonstrates that spatial network models help flood risk managers identify and compare infrastructure risks on flooded versus non‑flooded land, guiding protection investment prioritization and enhancing urban resilience.
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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Land use, water management and future flood risk
H. S. Wheater, E.P. Evans · Land Use Policy · 2009 · 517 citations
Natural Resources, Hydrology, Water Resources Management +16
Fluvial flood risk management in a changing world
Bruno Merz, Jim W. Hall, Markus Disse et al. · Natural hazards and earth system sciences · 2010 · 497 citations · Full text