Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Critical infrastructure impact assessment due to flood exposure
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.
Critical infrastructure impact assessment due to flood exposure
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.
Critical infrastructure impact assessment due to flood exposure
Pant, R. (Autor:in) / Thacker, S. (Autor:in) / Hall, J.W. (Autor:in) / Alderson, D. (Autor:in) / Barr, S. (Autor:in)
Journal of Flood Risk Management ; 11 ; 22-33
01.03.2018
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Strategic application of flood modelling for infrastructure planning and impact assessment
| British Library Conference Proceedings | 2001
Integrating Critical Infrastructure Networks into Flood Risk Management
| DOAJ | 2023
Flood Risk Assessment on Selected Critical Infrastructure in Kota Marudu Town, Sabah, Malaysia
| DOAJ | 2017
Critical Infrastructure and Flood Risk Management Innovation for Dam Safety Monitoring
| British Library Conference Proceedings | 2018