Articles | Volume 20, issue 7
https://doi.org/10.5194/nhess-20-2067-2020
© Author(s) 2020. 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-20-2067-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A generic physical vulnerability model for floods: review and concept for data-scarce regions
Mark Bawa Malgwi
CORRESPONDING AUTHOR
University of Bern, Institute of Geography, Hallerstrasse 12, 3012
Bern, Switzerland
University of Bern, Oeschger Centre for Climate Change Research,
Hochschulstrasse 6, 3012 Bern, Switzerland
Sven Fuchs
University of Natural Resources and Life Sciences, Institute of
Mountain Risk Engineering, Peter-Jordan-Str. 82, 1190 Vienna, Austria
Margreth Keiler
University of Bern, Institute of Geography, Hallerstrasse 12, 3012
Bern, Switzerland
University of Bern, Oeschger Centre for Climate Change Research,
Hochschulstrasse 6, 3012 Bern, Switzerland
University of Bern, Mobiliar Lab for Natural Risks, Hallerstrasse 12, 3012 Bern, Switzerland
Viewed
Total article views: 211,396 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Nov 2019)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
4,062 | 1,720 | 205,614 | 211,396 | 68 | 59 |
- HTML: 4,062
- PDF: 1,720
- XML: 205,614
- Total: 211,396
- BibTeX: 68
- EndNote: 59
Total article views: 210,275 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Jul 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
3,626 | 1,050 | 205,599 | 210,275 | 51 | 46 |
- HTML: 3,626
- PDF: 1,050
- XML: 205,599
- Total: 210,275
- BibTeX: 51
- EndNote: 46
Total article views: 1,121 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Nov 2019)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
436 | 670 | 15 | 1,121 | 17 | 13 |
- HTML: 436
- PDF: 670
- XML: 15
- Total: 1,121
- BibTeX: 17
- EndNote: 13
Viewed (geographical distribution)
Total article views: 211,396 (including HTML, PDF, and XML)
Thereof 187,063 with geography defined
and 24,333 with unknown origin.
Total article views: 210,275 (including HTML, PDF, and XML)
Thereof 186,141 with geography defined
and 24,134 with unknown origin.
Total article views: 1,121 (including HTML, PDF, and XML)
Thereof 922 with geography defined
and 199 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
32 citations as recorded by crossref.
- Assessing dynamic congestion risks of flood-disrupted transportation network systems through time-variant topological analysis and traffic demand dynamics X. Lin et al. 10.1016/j.aei.2024.102672
- A Methodology for Vulnerability Assessment of Cultural Heritage in Extreme Climate Changes R. Cacciotti et al. 10.1007/s13753-024-00564-8
- Methodological approach for mapping the flood physical vulnerability index with geographical open-source data: an example in a small-middle city (Ponferrada, Spain) L. Tascón-González et al. 10.1007/s11069-023-06370-7
- The role of socio-economic and property variables in the establishment of flood depth-damage curve for the data-scarce area in Malaysia S. Sulong & N. Romali 10.1080/1573062X.2022.2099292
- A data-mining approach towards damage modelling for El Niño events in Peru F. Brill et al. 10.1080/19475705.2020.1818636
- Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. 10.1111/jfr3.12736
- 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
- A new methodology for probabilistic flood displacement risk assessment: the case of Fiji and Vanuatu L. Rossi et al. 10.3389/fclim.2024.1345258
- A systematic review with bibliometric analysis of different approaches and methodologies for undertaking flood vulnerability research T. Nguyen et al. 10.1007/s40899-023-00865-8
- Preface: Estimating and predicting natural hazards and vulnerabilities in the Himalayan region W. Schwanghart et al. 10.5194/nhess-24-3291-2024
- GIS-based multi-criteria analysis for flood hazard areas mapping of M’zab wadi basin (Ghardaia, North-Central Algeria) A. Hamlat et al. 10.1080/15324982.2023.2235315
- Combining environmental-socio-economic data with volunteer geographic information for mapping flood risk zones in Zhengzhou, Henan Province, China H. Luo et al. 10.1016/j.ijdrr.2024.104679
- 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
- Building-scale flood loss estimation through vulnerability pattern characterization: application to an urban flood in Milan, Italy A. Taramelli et al. 10.5194/nhess-22-3543-2022
- Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods Z. Yang et al. 10.3390/rs14143313
- Review article: Potential of nature-based solutions to mitigate hydro-meteorological risks in sub-Saharan Africa K. Enu et al. 10.5194/nhess-23-481-2023
- Global population datasets overestimate flood exposure in Sweden K. Karagiorgos et al. 10.1038/s41598-024-71330-5
- Physical vulnerability assessment to flash floods using an indicator‐based methodology based on building properties and flow parameters M. Leal et al. 10.1111/jfr3.12712
- Risk Assessment of Flash Flood to Buildings Using an Indicator-Based Methodology: A Case Study of Mountainous Rural Settlements in Southwest China Y. Zhen et al. 10.3389/fenvs.2022.931029
- Systematic Mapping of Global Research on Disaster Damage Estimation for Buildings: A Machine Learning-Aided Study D. Rajapaksha et al. 10.3390/buildings14061864
- Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality R. Moya Barbera et al. 10.1016/j.cscm.2024.e03004
- A synergistic approach towards understanding flood risks over coastal multi-hazard environments: Appraisal of bivariate flood risk mapping through flood hazard, and socio-economic-cum-physical vulnerability dimensions D. Thakur & M. Mohanty 10.1016/j.scitotenv.2023.166423
- Hazard Analysis and Vulnerability Assessment of Cultural Landscapes Exposed to Climate Change-Related Extreme Events: A Case Study of Wachau (Austria) L. Canesi et al. 10.3390/heritage7040091
- 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
- Indicator-based approach for the assessment of intrinsic physical vulnerability of the built environment to hydro-meteorological hazards: Review of indicators and example of parameters selection for a sample area R. Agliata et al. 10.1016/j.ijdrr.2021.102199
- Indicators of riverbank Erosion vulnerability assessment: A systematic literature review for future research N. Sultana & S. Paul 10.1016/j.hydres.2024.06.002
- Nonlinear Simulation and Vulnerability Analysis of Masonry Structures Impacted by Flash Floods Q. Fang et al. 10.1155/2021/6682234
- Vulnerability patterns of road network to extreme floods based on accessibility measures T. Papilloud & M. Keiler 10.1016/j.trd.2021.103045
- Physical vulnerability to dynamic flooding: Vulnerability curves and vulnerability indices M. Papathoma-Köhle et al. 10.1016/j.jhydrol.2022.127501
- Evaluating topography-based approaches for fast floodplain mapping in data-scarce complex-terrain regions: Findings from a Himalayan basin P. Dhote et al. 10.1016/j.jhydrol.2023.129309
- 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
- Flood Risk Assessment of the Middle Reach of the Helmand River, Afghanistan K. Sefat & R. Tsubaki 10.20965/jdr.2024.p0455
31 citations as recorded by crossref.
- Assessing dynamic congestion risks of flood-disrupted transportation network systems through time-variant topological analysis and traffic demand dynamics X. Lin et al. 10.1016/j.aei.2024.102672
- A Methodology for Vulnerability Assessment of Cultural Heritage in Extreme Climate Changes R. Cacciotti et al. 10.1007/s13753-024-00564-8
- Methodological approach for mapping the flood physical vulnerability index with geographical open-source data: an example in a small-middle city (Ponferrada, Spain) L. Tascón-González et al. 10.1007/s11069-023-06370-7
- The role of socio-economic and property variables in the establishment of flood depth-damage curve for the data-scarce area in Malaysia S. Sulong & N. Romali 10.1080/1573062X.2022.2099292
- A data-mining approach towards damage modelling for El Niño events in Peru F. Brill et al. 10.1080/19475705.2020.1818636
- Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. 10.1111/jfr3.12736
- 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
- A new methodology for probabilistic flood displacement risk assessment: the case of Fiji and Vanuatu L. Rossi et al. 10.3389/fclim.2024.1345258
- A systematic review with bibliometric analysis of different approaches and methodologies for undertaking flood vulnerability research T. Nguyen et al. 10.1007/s40899-023-00865-8
- Preface: Estimating and predicting natural hazards and vulnerabilities in the Himalayan region W. Schwanghart et al. 10.5194/nhess-24-3291-2024
- GIS-based multi-criteria analysis for flood hazard areas mapping of M’zab wadi basin (Ghardaia, North-Central Algeria) A. Hamlat et al. 10.1080/15324982.2023.2235315
- Combining environmental-socio-economic data with volunteer geographic information for mapping flood risk zones in Zhengzhou, Henan Province, China H. Luo et al. 10.1016/j.ijdrr.2024.104679
- 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
- Building-scale flood loss estimation through vulnerability pattern characterization: application to an urban flood in Milan, Italy A. Taramelli et al. 10.5194/nhess-22-3543-2022
- Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods Z. Yang et al. 10.3390/rs14143313
- Review article: Potential of nature-based solutions to mitigate hydro-meteorological risks in sub-Saharan Africa K. Enu et al. 10.5194/nhess-23-481-2023
- Global population datasets overestimate flood exposure in Sweden K. Karagiorgos et al. 10.1038/s41598-024-71330-5
- Physical vulnerability assessment to flash floods using an indicator‐based methodology based on building properties and flow parameters M. Leal et al. 10.1111/jfr3.12712
- Risk Assessment of Flash Flood to Buildings Using an Indicator-Based Methodology: A Case Study of Mountainous Rural Settlements in Southwest China Y. Zhen et al. 10.3389/fenvs.2022.931029
- Systematic Mapping of Global Research on Disaster Damage Estimation for Buildings: A Machine Learning-Aided Study D. Rajapaksha et al. 10.3390/buildings14061864
- Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality R. Moya Barbera et al. 10.1016/j.cscm.2024.e03004
- A synergistic approach towards understanding flood risks over coastal multi-hazard environments: Appraisal of bivariate flood risk mapping through flood hazard, and socio-economic-cum-physical vulnerability dimensions D. Thakur & M. Mohanty 10.1016/j.scitotenv.2023.166423
- Hazard Analysis and Vulnerability Assessment of Cultural Landscapes Exposed to Climate Change-Related Extreme Events: A Case Study of Wachau (Austria) L. Canesi et al. 10.3390/heritage7040091
- 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
- Indicator-based approach for the assessment of intrinsic physical vulnerability of the built environment to hydro-meteorological hazards: Review of indicators and example of parameters selection for a sample area R. Agliata et al. 10.1016/j.ijdrr.2021.102199
- Indicators of riverbank Erosion vulnerability assessment: A systematic literature review for future research N. Sultana & S. Paul 10.1016/j.hydres.2024.06.002
- Nonlinear Simulation and Vulnerability Analysis of Masonry Structures Impacted by Flash Floods Q. Fang et al. 10.1155/2021/6682234
- Vulnerability patterns of road network to extreme floods based on accessibility measures T. Papilloud & M. Keiler 10.1016/j.trd.2021.103045
- Physical vulnerability to dynamic flooding: Vulnerability curves and vulnerability indices M. Papathoma-Köhle et al. 10.1016/j.jhydrol.2022.127501
- Evaluating topography-based approaches for fast floodplain mapping in data-scarce complex-terrain regions: Findings from a Himalayan basin P. Dhote et al. 10.1016/j.jhydrol.2023.129309
- 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
1 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
Mitigation planning and economic loss assessment generally rely on flood damage prediction models. However, unavailability of empirical data has limited the use of such models in data-scarce areas. This paper combines the vulnerability indicator and damage grade approach to develop a conceptual framework for predicting building damage in data-scarce regions. The framework can be implemented using only expert knowledge and facilitates transferability of flood damage models in data-scarce areas.
Mitigation planning and economic loss assessment generally rely on flood damage prediction...
Altmetrics
Final-revised paper
Preprint