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Simulating flood risk under non-stationary climate and urban development conditions: Experimental setup for multiple hazards and a variety of scenarios
Section of Urban Water Systems, Department of Environmental Engineering, Technical University of Denmark (DTU Environment).
Department of Civil Engineering, Faculty of Engineering, Monash University.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering. Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU Compute).ORCID iD: 0000-0003-4222-9631
IHE Delft, Institute for Water Education.
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2018 (English)In: Environmental Modelling & Software, ISSN 1364-8152, E-ISSN 1873-6726, Vol. 102, p. 155-171Article in journal (Refereed) Published
Abstract [en]

A framework for assessing economic flood damage for a large number of climate and urban development scenarios with limited computational effort is presented. Response surfaces are applied to characterize flood damage based on physical variables describing climate-driven hazards and changing vulnerability resulting from urban growth. The framework is embedded in an experimental setup where flood damage obtained from combined hydraulic-urban development simulations is approximated using kriging-metamodels. Space-filling, sequential and stratified sequential sampling strategies are tested. Reliable approximations of economic damage are obtained in a theoretical case study involving pluvial and coastal hazards, and the stratified sequential sampling strategy is most robust to irregular surface shapes. The setup is currently limited to considering only planned urban development patterns and flood adaptation options implemented over short time horizons. However, the number of simulations is reduced by up to one order of magnitude compared to scenario-based methods, highlighting the potential of the approach.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 102, p. 155-171
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-67822DOI: 10.1016/j.envsoft.2018.01.008ISI: 000426583300012Scopus ID: 2-s2.0-85042934393OAI: oai:DiVA.org:ltu-67822DiVA, id: diva2:1187158
Note

Validerad;2018;Nivå 2;2018-03-02 (andbra)

Available from: 2018-03-02 Created: 2018-03-02 Last updated: 2018-03-27Bibliographically approved

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