Articles | Volume 22, issue 5
https://doi.org/10.5194/hess-22-2759-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-2759-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 May 2018
Research article |
| 08 May 2018
| 08 May 2018
Effects of variability in probable maximum precipitation patterns on flood losses
Andreas Paul Zischg
CORRESPONDING AUTHOR
University of Bern, Institute of Geography, Oeschger Centre for Climate Change Research, Mobiliar Lab for Natural Risks, Bern, 3012, Switzerland
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Guido Felder
University of Bern, Institute of Geography, Oeschger Centre for Climate Change Research, Mobiliar Lab for Natural Risks, Bern, 3012, Switzerland
Rolf Weingartner
University of Bern, Institute of Geography, Oeschger Centre for Climate Change Research, Mobiliar Lab for Natural Risks, Bern, 3012, Switzerland
Niall Quinn
Fathom Ltd., Bristol, BS1 6QF, UK
Gemma Coxon
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Jeffrey Neal
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Jim Freer
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
Paul Bates
School of Geographical Sciences, University of Bristol, Bristol, BS8 1SS, UK
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Cited
22 citations as recorded by crossref.
- Vulnerability patterns of road network to extreme floods based on accessibility measures T. Papilloud & M. Keiler 10.1016/j.trd.2021.103045
- A typology of compound weather and climate events J. Zscheischler et al. 10.1038/s43017-020-0060-z
- Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. 10.1111/jfr3.12736
- Consideration of high-quality development strategies for soil and water conservation on the loess plateau J. Zhang et al. 10.1038/s41598-022-12006-w
- Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin D. Viviroli et al. 10.5194/nhess-22-2891-2022
- A method to reconstruct flood scenarios using field interviews and hydrodynamic modelling: application to the 2017 Suleja and Tafa, Nigeria flood M. Malgwi et al. 10.1007/s11069-021-04756-z
- A practical methodology to perform global sensitivity analysis for 2D hydrodynamic computationally intensive simulations S. Alipour et al. 10.2166/nh.2021.243
- Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods S. Grimaldi et al. 10.1029/2018WR024289
- Mapping the Sensitivity of Population Exposure to Changes in Flood Magnitude: Prospective Application From Local to Global Scale A. Zischg & M. Bermúdez 10.3389/feart.2020.534735
- Planning London’s green spaces in an integrated water management approach to enhance future resilience in urban stormwater control Z. Zhang et al. 10.1016/j.jhydrol.2021.126126
- Application of Fuzzy TOPSIS to Flood Hazard Mapping for Levee Failure T. Kim et al. 10.3390/w11030592
- Future Changes in Flood Hazards across Canada under a Changing Climate A. Gaur et al. 10.3390/w10101441
- Large ensemble flood loss modelling and uncertainty assessment for future climate conditions for a Swiss pre-alpine catchment L. Keller et al. 10.1016/j.scitotenv.2019.07.206
- Toward Global Stochastic River Flood Modeling O. Wing et al. 10.1029/2020WR027692
- Modelling Spatiotemporal Dynamics of Large Wood Recruitment, Transport, and Deposition at the River Reach Scale during Extreme Floods A. Zischg et al. 10.3390/w10091134
- Local impacts on road networks and access to critical locations during extreme floods S. Loreti et al. 10.1038/s41598-022-04927-3
- Fine‐scale damage assessment of urban flooding based on the 1D/2D coupled hydrodynamic model B. Dong et al. 10.1002/rvr2.68
- Quantitative Agricultural Flood Risk Assessment Using Vulnerability Surface and Copula Functions Y. Wang et al. 10.3390/w10091229
- Evaluating disaster prevention benefits of underground space from the perspective of urban resilience S. Liu et al. 10.1016/j.ijdrr.2021.102206
- Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks A. Marcolongo et al. 10.1017/eds.2022.1
- Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment S. Gangrade et al. 10.1016/j.jhydrol.2019.06.027
- Floodplains and Complex Adaptive Systems—Perspectives on Connecting the Dots in Flood Risk Assessment with Coupled Component Models A. Zischg 10.3390/systems6020009
21 citations as recorded by crossref.
- Vulnerability patterns of road network to extreme floods based on accessibility measures T. Papilloud & M. Keiler 10.1016/j.trd.2021.103045
- A typology of compound weather and climate events J. Zscheischler et al. 10.1038/s43017-020-0060-z
- Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. 10.1111/jfr3.12736
- Consideration of high-quality development strategies for soil and water conservation on the loess plateau J. Zhang et al. 10.1038/s41598-022-12006-w
- Comprehensive space–time hydrometeorological simulations for estimating very rare floods at multiple sites in a large river basin D. Viviroli et al. 10.5194/nhess-22-2891-2022
- A method to reconstruct flood scenarios using field interviews and hydrodynamic modelling: application to the 2017 Suleja and Tafa, Nigeria flood M. Malgwi et al. 10.1007/s11069-021-04756-z
- A practical methodology to perform global sensitivity analysis for 2D hydrodynamic computationally intensive simulations S. Alipour et al. 10.2166/nh.2021.243
- Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods S. Grimaldi et al. 10.1029/2018WR024289
- Mapping the Sensitivity of Population Exposure to Changes in Flood Magnitude: Prospective Application From Local to Global Scale A. Zischg & M. Bermúdez 10.3389/feart.2020.534735
- Planning London’s green spaces in an integrated water management approach to enhance future resilience in urban stormwater control Z. Zhang et al. 10.1016/j.jhydrol.2021.126126
- Application of Fuzzy TOPSIS to Flood Hazard Mapping for Levee Failure T. Kim et al. 10.3390/w11030592
- Future Changes in Flood Hazards across Canada under a Changing Climate A. Gaur et al. 10.3390/w10101441
- Large ensemble flood loss modelling and uncertainty assessment for future climate conditions for a Swiss pre-alpine catchment L. Keller et al. 10.1016/j.scitotenv.2019.07.206
- Toward Global Stochastic River Flood Modeling O. Wing et al. 10.1029/2020WR027692
- Modelling Spatiotemporal Dynamics of Large Wood Recruitment, Transport, and Deposition at the River Reach Scale during Extreme Floods A. Zischg et al. 10.3390/w10091134
- Local impacts on road networks and access to critical locations during extreme floods S. Loreti et al. 10.1038/s41598-022-04927-3
- Fine‐scale damage assessment of urban flooding based on the 1D/2D coupled hydrodynamic model B. Dong et al. 10.1002/rvr2.68
- Quantitative Agricultural Flood Risk Assessment Using Vulnerability Surface and Copula Functions Y. Wang et al. 10.3390/w10091229
- Evaluating disaster prevention benefits of underground space from the perspective of urban resilience S. Liu et al. 10.1016/j.ijdrr.2021.102206
- Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks A. Marcolongo et al. 10.1017/eds.2022.1
- Ensemble-based flood vulnerability assessment for probable maximum flood in a changing environment S. Gangrade et al. 10.1016/j.jhydrol.2019.06.027
Latest update: 19 Apr 2024
Short summary
We developed a model experiment and distributed different rainfall patterns over a mountain river basin. For each rainfall scenario, we computed the flood losses with a model chain. The experiment shows that flood losses vary considerably within the river basin and depend on the timing of the flood peaks from the basin's sub-catchments. Basin-specific characteristics such as the location of the main settlements within the floodplains play an additional important role in determining flood losses.
We developed a model experiment and distributed different rainfall patterns over a mountain...
