Articles | Volume 16, issue 1
https://doi.org/10.5194/nhess-16-1-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-1-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Uncertainty in flood damage estimates and its potential effect on investment decisions
D. J. Wagenaar
CORRESPONDING AUTHOR
Deltares, Delft, the Netherlands
K. M. de Bruijn
Deltares, Delft, the Netherlands
L. M. Bouwer
Deltares, Delft, the Netherlands
H. de Moel
Institute for Environmental Studies, Faculty of Earth and
Life Sciences, VU University Amsterdam, Amsterdam, the Netherlands
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Cited
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- Tracing the value of data for flood loss modelling K. Schröter et al. 10.1051/e3sconf/20160705005
- Probabilistic Assessment of Flood Hazard due to Levee Breaches Using Fragility Functions M. D'Oria et al. 10.1029/2019WR025369
- Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction D. Wagenaar et al. 10.1111/risa.13575
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- Incorporating Uncertainty of the System Behavior in Flood Risk Assessment—Sava River Case Study T. Kekez et al. 10.3390/w12102676
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- An introduction to flood modeling for catastrophe risk management S. Zanardo & J. Salinas 10.1002/wat2.1568
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- Brief Communication: Simple-INSYDE, development of a new tool for flood damage evaluation from an existing synthetic model M. Galliani et al. 10.5194/nhess-20-2937-2020
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- Local-scale landslide susceptibility mapping using the B-GeoSVC model Y. Yang et al. 10.1007/s10346-019-01174-y
- Coastal hazard risk assessment for small islands: assessing the impact of climate change and disaster reduction measures on Ebeye (Marshall Islands) A. Giardino et al. 10.1007/s10113-018-1353-3
- The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in Spain J. Garrote et al. 10.3390/app11199267
- The spectrum of uncertainty in flood damage assessment S. Shoaib et al. 10.2166/wcc.2022.430
- INSYDE-BE: adaptation of the INSYDE model to the Walloon region (Belgium) A. Scorzini et al. 10.5194/nhess-22-1743-2022
- Linking social, ecological, and physical science to advance natural and nature‐based protection for coastal communities K. Arkema et al. 10.1111/nyas.13322
- Probabilistic Flood Loss Models for Companies L. Schoppa et al. 10.1029/2020WR027649
- Improving flood damage assessments in data-scarce areas by retrieval of building characteristics through UAV image segmentation and machine learning – a case study of the 2019 floods in southern Malawi L. Wouters et al. 10.5194/nhess-21-3199-2021
- Probabilistic Assessment of Pluvial Flood Risk Across 20 European Cities: A Demonstrator of the Copernicus Disaster Risk Reduction Service for Pluvial Flood Risk in Urban Areas A. Essenfelder et al. 10.1142/S2382624X22400070
- Estimation of river flood damages in Jakarta, Indonesia P. Wijayanti et al. 10.1007/s11069-016-2730-1
- Regional and Temporal Transferability of Multivariable Flood Damage Models D. Wagenaar et al. 10.1029/2017WR022233
- Residential flood risk in Metro Vancouver due to climate change using probability boxes H. Viseh & D. Bristow 10.1080/15715124.2023.2200006
- Construction of flood loss function for cities lacking disaster data based on three-dimensional (object-function-array) data processing H. Lv et al. 10.1016/j.scitotenv.2021.145649
- Probabilistic mapping of life loss due to dam-break flooding A. Maranzoni et al. 10.1007/s11069-023-06285-3
- Damage functions for transport infrastructure N. Habermann & R. Hedel 10.1108/IJDRBE-09-2017-0052
- Uncertainty and Bias in Global to Regional Scale Assessments of Current and Future Coastal Flood Risk J. Hinkel et al. 10.1029/2020EF001882
4 citations as recorded by crossref.
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- A geospatial framework to estimate depth of scour under buildings due to storm surge in coastal areas M. Borga et al. 10.1007/s11069-017-2817-3
- Flood fatality hazard and flood damage hazard: combining multiple hazard characteristics into meaningful maps for spatial planning K. de Bruijn et al. 10.5194/nhess-15-1297-2015
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Latest update: 13 Dec 2024
Short summary
This paper discusses the differences that are found between flood damage estimation models. Based on an explanation of these differences, a method to quantify the uncertainty in flood damage models is proposed. An uncertainty estimate is made for a case study and the potential implications of uncertainty in flood damage estimation for investment decisions is shown.
This paper discusses the differences that are found between flood damage estimation models....
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