Articles | Volume 18, issue 11
Nat. Hazards Earth Syst. Sci., 18, 3089–3108, 2018
https://doi.org/10.5194/nhess-18-3089-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nat. Hazards Earth Syst. Sci., 18, 3089–3108, 2018
https://doi.org/10.5194/nhess-18-3089-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
19 Nov 2018
Research article
| 19 Nov 2018
How do changes along the risk chain affect flood risk?
Ayse Duha Metin et al.
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Cited
17 citations as recorded by crossref.
- Accounting for Economic Factors in Socio-Hydrology: Optimization under Uncertainty and Climate Change . Abadie et al. 10.3390/w11102073
- Inventory of dams in Germany G. Speckhann et al. 10.5194/essd-13-731-2021
- A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. 10.1007/s11069-020-04413-x
- The role of spatial dependence for large-scale flood risk estimation A. Metin et al. 10.5194/nhess-20-967-2020
- Predicting flood insurance claims with hydrologic and socioeconomic demographics via machine learning: Exploring the roles of topography, minority populations, and political dissimilarity J. Knighton et al. 10.1016/j.jenvman.2020.111051
- The influence of climate model uncertainty on fluvial flood hazard estimation L. Beevers et al. 10.1007/s11069-020-04282-4
- Predicting Flood Property Insurance Claims over CONUS, Fusing Big Earth Observation Data Q. Yang et al. 10.1175/BAMS-D-21-0082.1
- Large-scale flood risk assessment and management: Prospects of a systems approach K. Schröter et al. 10.1016/j.wasec.2021.100109
- Grappling with uncertainties in physical climate impact projections of water resources R. Dankers & Z. Kundzewicz 10.1007/s10584-020-02858-4
- Approaches to analyse and model changes in impacts: reply to discussions of “How to improve attribution of changes in drought and flood impacts” H. Kreibich et al. 10.1080/02626667.2019.1701194
- Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling C. Rougé et al. 10.5194/hess-25-1365-2021
- Comprehensive evaluation of an improved large‐scale multi‐site weather generator for Germany V. Nguyen et al. 10.1002/joc.7107
- Needed: A systems approach to improve flood risk mitigation through private precautionary measures M. Barendrecht et al. 10.1016/j.wasec.2020.100080
- Rethinking data‐driven decision support in flood risk management for a big data age R. Towe et al. 10.1111/jfr3.12652
- Ensemble Flood Risk Assessment in the Yangtze River Economic Belt under CMIP6 SSP-RCP Scenarios L. Peng & Z. Li 10.3390/su132112097
- Climate change impacts model parameter sensitivity – implications for calibration strategy and model diagnostic evaluation L. Melsen & B. Guse 10.5194/hess-25-1307-2021
- Process‐Based Flood Risk Assessment for Germany N. Sairam et al. 10.1029/2021EF002259
17 citations as recorded by crossref.
- Accounting for Economic Factors in Socio-Hydrology: Optimization under Uncertainty and Climate Change . Abadie et al. 10.3390/w11102073
- Inventory of dams in Germany G. Speckhann et al. 10.5194/essd-13-731-2021
- A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. 10.1007/s11069-020-04413-x
- The role of spatial dependence for large-scale flood risk estimation A. Metin et al. 10.5194/nhess-20-967-2020
- Predicting flood insurance claims with hydrologic and socioeconomic demographics via machine learning: Exploring the roles of topography, minority populations, and political dissimilarity J. Knighton et al. 10.1016/j.jenvman.2020.111051
- The influence of climate model uncertainty on fluvial flood hazard estimation L. Beevers et al. 10.1007/s11069-020-04282-4
- Predicting Flood Property Insurance Claims over CONUS, Fusing Big Earth Observation Data Q. Yang et al. 10.1175/BAMS-D-21-0082.1
- Large-scale flood risk assessment and management: Prospects of a systems approach K. Schröter et al. 10.1016/j.wasec.2021.100109
- Grappling with uncertainties in physical climate impact projections of water resources R. Dankers & Z. Kundzewicz 10.1007/s10584-020-02858-4
- Approaches to analyse and model changes in impacts: reply to discussions of “How to improve attribution of changes in drought and flood impacts” H. Kreibich et al. 10.1080/02626667.2019.1701194
- Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling C. Rougé et al. 10.5194/hess-25-1365-2021
- Comprehensive evaluation of an improved large‐scale multi‐site weather generator for Germany V. Nguyen et al. 10.1002/joc.7107
- Needed: A systems approach to improve flood risk mitigation through private precautionary measures M. Barendrecht et al. 10.1016/j.wasec.2020.100080
- Rethinking data‐driven decision support in flood risk management for a big data age R. Towe et al. 10.1111/jfr3.12652
- Ensemble Flood Risk Assessment in the Yangtze River Economic Belt under CMIP6 SSP-RCP Scenarios L. Peng & Z. Li 10.3390/su132112097
- Climate change impacts model parameter sensitivity – implications for calibration strategy and model diagnostic evaluation L. Melsen & B. Guse 10.5194/hess-25-1307-2021
- Process‐Based Flood Risk Assessment for Germany N. Sairam et al. 10.1029/2021EF002259
Saved (preprint)
Latest update: 27 May 2022
Short summary
We present a comprehensive sensitivity analysis considering changes along the complete flood risk chain to understand how changes in different drivers affect flood risk. Results show that changes in dike systems or in vulnerability may outweigh changes in often investigated components, such as climate change. Although the specific results are conditional on the case study and assumptions, they highlight the need for a broader consideration of potential drivers of change in a comprehensive way.
We present a comprehensive sensitivity analysis considering changes along the complete flood...
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