Articles | Volume 21, issue 5
https://doi.org/10.5194/nhess-21-1599-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-1599-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Residential flood loss estimated from Bayesian multilevel models
Guilherme S. Mohor
CORRESPONDING AUTHOR
Institute of Environmental Science and Geography, University of Potsdam, 14476 Potsdam, Germany
Annegret H. Thieken
Institute of Environmental Science and Geography, University of Potsdam, 14476 Potsdam, Germany
Oliver Korup
Institute of Environmental Science and Geography, University of Potsdam, 14476 Potsdam, Germany
Institute of Geosciences, University of Potsdam, 14476 Potsdam, Germany
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Cited
15 citations as recorded by crossref.
- Evaluating the spatial application of multivariable flood damage models R. Paulik et al. 10.1111/jfr3.12934
- Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al. 10.1007/s11069-024-06756-1
- Learning inter-annual flood loss risk models from historical flood insurance claims J. Salas et al. 10.1016/j.jenvman.2023.118862
- Capturing Regional Differences in Flood Vulnerability Improves Flood Loss Estimation N. Sairam et al. 10.3389/frwa.2022.817625
- Flooding: Contributing factors to residential flood damage in Canada B. Deschamps et al. 10.1016/j.ijdrr.2025.105348
- Mitigation of Flood Risks with the Aid of the Critical Points Method K. Drbal et al. 10.3390/agronomy12061300
- The role of insurers in flood risk management revisited from a sustainability perspective L. Stricker et al. 10.1111/rmir.70011
- BN-FLEMOΔ: a Bayesian-network-based flood loss estimation model for adaptation planning in Ho Chi Minh City, Vietnam K. Shahi et al. 10.5194/nhess-25-2845-2025
- A comparative flood damage and risk impact assessment of land use changes K. Gabriels et al. 10.5194/nhess-22-395-2022
- Analytical advances in homeowner flood risk quantification considering insurance, building replacement value, and freeboard M. Rahim et al. 10.3389/fenvs.2023.1180942
- Decoding cortical chronotopy—Comparing the influence of different cortical organizational schemes F. Mecklenbrauck et al. 10.1016/j.neuroimage.2024.120914
- Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
- The significance of structural rich club hubs for the processing of hierarchical stimuli F. Mecklenbrauck et al. 10.1002/hbm.26543
- Compound inland flood events: different pathways, different impacts and different coping options A. Thieken et al. 10.5194/nhess-22-165-2022
- Residential building flood damage: Insights on processes and implications for risk assessments R. Paulik et al. 10.1111/jfr3.12832
15 citations as recorded by crossref.
- Evaluating the spatial application of multivariable flood damage models R. Paulik et al. 10.1111/jfr3.12934
- Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al. 10.1007/s11069-024-06756-1
- Learning inter-annual flood loss risk models from historical flood insurance claims J. Salas et al. 10.1016/j.jenvman.2023.118862
- Capturing Regional Differences in Flood Vulnerability Improves Flood Loss Estimation N. Sairam et al. 10.3389/frwa.2022.817625
- Flooding: Contributing factors to residential flood damage in Canada B. Deschamps et al. 10.1016/j.ijdrr.2025.105348
- Mitigation of Flood Risks with the Aid of the Critical Points Method K. Drbal et al. 10.3390/agronomy12061300
- The role of insurers in flood risk management revisited from a sustainability perspective L. Stricker et al. 10.1111/rmir.70011
- BN-FLEMOΔ: a Bayesian-network-based flood loss estimation model for adaptation planning in Ho Chi Minh City, Vietnam K. Shahi et al. 10.5194/nhess-25-2845-2025
- A comparative flood damage and risk impact assessment of land use changes K. Gabriels et al. 10.5194/nhess-22-395-2022
- Analytical advances in homeowner flood risk quantification considering insurance, building replacement value, and freeboard M. Rahim et al. 10.3389/fenvs.2023.1180942
- Decoding cortical chronotopy—Comparing the influence of different cortical organizational schemes F. Mecklenbrauck et al. 10.1016/j.neuroimage.2024.120914
- Toward an adequate level of detail in flood risk assessments T. Sieg et al. 10.1111/jfr3.12889
- The significance of structural rich club hubs for the processing of hierarchical stimuli F. Mecklenbrauck et al. 10.1002/hbm.26543
- Compound inland flood events: different pathways, different impacts and different coping options A. Thieken et al. 10.5194/nhess-22-165-2022
- Residential building flood damage: Insights on processes and implications for risk assessments R. Paulik et al. 10.1111/jfr3.12832
Latest update: 14 Sep 2025
Short summary
We explored differences in the damaging process across different flood types, regions within Germany, and six flood events through a numerical model in which the groups can learn from each other. Differences were found mostly across flood types, indicating the importance of identifying them, but there is great overlap across regions and flood events, indicating either that socioeconomic or temporal information was not well represented or that they are in fact less different within our cases.
We explored differences in the damaging process across different flood types, regions within...
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