Extending coupled hydrological-hydraulic model chains with a surrogate model for the estimation of flood losses. (October 2018)
- Record Type:
- Journal Article
- Title:
- Extending coupled hydrological-hydraulic model chains with a surrogate model for the estimation of flood losses. (October 2018)
- Main Title:
- Extending coupled hydrological-hydraulic model chains with a surrogate model for the estimation of flood losses
- Authors:
- Zischg, Andreas Paul
Felder, Guido
Mosimann, Markus
Röthlisberger, Veronika
Weingartner, Rolf - Abstract:
- Abstract: In comparison to a local-scale flood risk analysis, modeling flood losses and risks at the river basin scale is challenging. Particularly in mountainous watersheds, extreme precipitation can be distributed spatially and temporally with remarkable variability. Depending on the topography of the river basin and the topological characteristics of the river network, certain rainfall patterns can lead to a synchronization of the flood peaks between tributaries and the main river. Thus, these complex interactions can lead to high variability in flood losses. In addition, flood inundation modeling at the river basin scale is computationally resource-intensive and the simulation of multiple scenarios is not always feasible. In this study, we present an approach for reducing complexity in flood-risk modeling at the river basin scale. We developed a surrogate model for flood loss analysis in the river basin by decomposing the river system into a number of subsystems. A relationship between flood magnitude and flood losses is computed for each floodplain in the river basin by means of a flood inundation and flood loss model at sub-meter resolution. This surrogate model for flood-loss estimation can be coupled with a hydrological-hydraulic model cascade, allowing to compute a high number of flood scenarios for the whole river system. The application of this model to a complex mountain river basin showed that the surrogate model approach leads to a reliable and computationallyAbstract: In comparison to a local-scale flood risk analysis, modeling flood losses and risks at the river basin scale is challenging. Particularly in mountainous watersheds, extreme precipitation can be distributed spatially and temporally with remarkable variability. Depending on the topography of the river basin and the topological characteristics of the river network, certain rainfall patterns can lead to a synchronization of the flood peaks between tributaries and the main river. Thus, these complex interactions can lead to high variability in flood losses. In addition, flood inundation modeling at the river basin scale is computationally resource-intensive and the simulation of multiple scenarios is not always feasible. In this study, we present an approach for reducing complexity in flood-risk modeling at the river basin scale. We developed a surrogate model for flood loss analysis in the river basin by decomposing the river system into a number of subsystems. A relationship between flood magnitude and flood losses is computed for each floodplain in the river basin by means of a flood inundation and flood loss model at sub-meter resolution. This surrogate model for flood-loss estimation can be coupled with a hydrological-hydraulic model cascade, allowing to compute a high number of flood scenarios for the whole river system. The application of this model to a complex mountain river basin showed that the surrogate model approach leads to a reliable and computationally fast analysis of flood losses in a set of probable maximum precipitation scenarios. Hence, this approach offers new possibilities for stress test analyses and Monte-Carlo simulations in the analysis of system behavior under different system loads. Graphical abstract: Image 1 Highlights: A novel approach for coupling flood loss models with hydrological-hydraulic models. Simulation of complex river systems at high spatial resolution. Surrogate model based on the "flood magnitude – flood loss" relationship of floodplain. An alternative approach for flood loss computation with demanding computational costs. High potential for integration in Monte Carlo simulations and short-term flood loss forecasts. … (more)
- Is Part Of:
- Environmental modelling & software. Volume 108(2018)
- Journal:
- Environmental modelling & software
- Issue:
- Volume 108(2018)
- Issue Display:
- Volume 108, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 108
- Issue:
- 2018
- Issue Sort Value:
- 2018-0108-2018-0000
- Page Start:
- 174
- Page End:
- 185
- Publication Date:
- 2018-10
- Subjects:
- Model coupling -- Surrogate model -- Flood loss estimation -- Complex river system -- River basin-scale
Environmental monitoring -- Computer programs -- Periodicals
Ecology -- Computer simulation -- Periodicals
Digital computer simulation -- Periodicals
Computer software -- Periodicals
Environmental Monitoring -- Periodicals
Computer Simulation -- Periodicals
Environnement -- Surveillance -- Logiciels -- Périodiques
Écologie -- Simulation, Méthodes de -- Périodiques
Simulation par ordinateur -- Périodiques
Logiciels -- Périodiques
Computer software
Digital computer simulation
Ecology -- Computer simulation
Environmental monitoring -- Computer programs
Periodicals
Electronic journals
363.70015118 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13648152 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.envsoft.2018.08.009 ↗
- Languages:
- English
- ISSNs:
- 1364-8152
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 3791.522800
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