Articles | Volume 19, issue 8
https://doi.org/10.5194/nhess-19-1703-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-19-1703-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Aug 2019
Research article |
| 12 Aug 2019
| 12 Aug 2019
Enhancement of large-scale flood risk assessments using building-material-based vulnerability curves for an object-based approach in urban and rural areas
Johanna Englhardt
CORRESPONDING AUTHOR
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, De Boelelaan 1087, 1081 HV Amsterdam, the Netherlands
Hans de Moel
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, De Boelelaan 1087, 1081 HV Amsterdam, the Netherlands
Charles K. Huyck
ImageCat Inc., Long Beach, CA 90802, USA
Marleen C. de Ruiter
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, De Boelelaan 1087, 1081 HV Amsterdam, the Netherlands
Jeroen C. J. H. Aerts
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, De Boelelaan 1087, 1081 HV Amsterdam, the Netherlands
Philip J. Ward
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, De Boelelaan 1087, 1081 HV Amsterdam, the Netherlands
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- Review article: Natural hazard risk assessments at the global scale P. Ward et al. 10.5194/nhess-20-1069-2020
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- The Potential Role of News Media to Construct a Machine Learning Based Damage Mapping Framework G. Okada et al. 10.3390/rs13071401
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- Relationship between residential house damage and flood characteristics: A case study in the Teesta River Basin, Bangladesh S. Haque et al. 10.1016/j.ijdrr.2023.103901
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- Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves B. Monteleone et al. 10.1007/s11069-022-05791-0
- Quantifying the potential benefits of risk-mitigation strategies on future flood losses in Kathmandu Valley, Nepal C. Mesta et al. 10.5194/nhess-23-711-2023
- The Asynergies of Structural Disaster Risk Reduction Measures: Comparing Floods and Earthquakes M. de Ruiter et al. 10.1029/2020EF001531
- Who Is Vulnerable and Where Do They Live? Case Study of Three Districts in the Uttarakhand Region of India Himalaya C. Grainger et al. 10.1659/MRD-JOURNAL-D-19-00041.1
- A Method for Assessing Flood Vulnerability Based on Vulnerability Curves and Online Data of Residential Buildings—A Case Study of Shanghai Z. Li et al. 10.3390/w14182840
- 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
- Characterizing uncertainty of general building stock exposure data C. Huyck et al. 10.1177/87552930221079852
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- Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa A. Carr et al. 10.3389/fenvs.2024.1330295
- Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. 10.1111/jfr3.12736
- A generic physical vulnerability model for floods: review and concept for data-scarce regions M. Malgwi et al. 10.5194/nhess-20-2067-2020
- Expert-based versus data-driven flood damage models: A comparative evaluation for data-scarce regions M. Malgwi et al. 10.1016/j.ijdrr.2021.102148
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- Physical vulnerability to dynamic flooding: Vulnerability curves and vulnerability indices M. Papathoma-Köhle et al. 10.1016/j.jhydrol.2022.127501
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- Integrated Flood Impact and Vulnerability Assessment Using a Multi-Sensor Earth Observation Mission with the Perspective of an Operational Service in Lombardy, Italy M. Righini et al. 10.3390/land13020140
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Latest update: 24 Apr 2024
Short summary
Large-scale risk assessments can be improved by a more direct relation between the type of exposed buildings and their flood impact. Compared to the common land-use-based approach, this model reflects heterogeneous structures and defines building-material-based vulnerability classes. This approach is particularly interesting for areas with large variations of building types, such as developing countries and large scales, and enables vulnerability comparison across different natural disasters.
Large-scale risk assessments can be improved by a more direct relation between the type of...
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