Articles | Volume 20, issue 10
https://doi.org/10.5194/nhess-20-2633-2020
© 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-20-2633-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Oct 2020
Research article |
| 06 Oct 2020
| 06 Oct 2020
Rapid flood risk screening model for compound flood events in Beira, Mozambique
Erik C. van Berchum
CORRESPONDING AUTHOR
Department of Hydraulic Engineering, Delft University of Technology, Delft, 2600GA, the Netherlands
Mathijs van Ledden
Global Facility for Disaster Reduction and Recovery, Washington,
DC, 20433, USA
Jos S. Timmermans
Department of Multi-Actor Systems, Delft University of Technology,
Delft, 2600GA, the Netherlands
Jan H. Kwakkel
Department of Multi-Actor Systems, Delft University of Technology,
Delft, 2600GA, the Netherlands
Sebastiaan N. Jonkman
Department of Hydraulic Engineering, Delft University of Technology, Delft, 2600GA, the Netherlands
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Cited
14 citations as recorded by crossref.
- Exploring Methodological Approaches for Strengthening the Resilience of Coastal Flood Protection System M. Igigabel et al. 10.3389/feart.2021.756936
- Perceptions of risk to compound coastal water events: A case study in eastern North Carolina, USA S. Curtis et al. 10.1016/j.pdisas.2022.100266
- Performance comparison of two deep learning models for flood susceptibility map in Beira area, Mozambique S. Ramayanti et al. 10.1016/j.ejrs.2022.11.003
- Economic optimization of coastal flood defence systems including storm surge barrier closure reliability L. Mooyaart et al. 10.1111/jfr3.12904
- Human displacements from Tropical Cyclone Idai attributable to climate change B. Mester et al. 10.5194/nhess-23-3467-2023
- The distribution of Cyclone Idai’s water impacts in Beira, Mozambique C. McCordic et al. 10.1108/DPM-08-2023-0211
- Multivariate Analysis of Compound Flood Hazard Across Canada's Atlantic, Pacific and Great Lakes Coastal Areas F. Jalili Pirani & M. Najafi 10.1029/2022EF002655
- A globally applicable framework for compound flood hazard modeling D. Eilander et al. 10.5194/nhess-23-823-2023
- The compounding impacts of Cyclone Idai and their implications for urban inequality C. Williamson et al. 10.1016/j.ijdrr.2023.103526
- Trade‐offs and synergies in managing coastal flood risk: A case study for New York City R. Ceres et al. 10.1111/jfr3.12771
- Participatory risk assessment of pluvial floods in four towns of Niger M. Tiepolo et al. 10.1016/j.ijdrr.2022.103454
- The priorities and coping strategies of severely food insecure households in Beira in response to Cyclone Idai C. McCordic et al. 10.1016/j.ijdrr.2022.103423
- Modeling compound flood risk and risk reduction using a globally applicable framework: a pilot in the Sofala province of Mozambique D. Eilander et al. 10.5194/nhess-23-2251-2023
- Flood frequency analysis in the lower Burhi Dehing River in Assam, India using Gumbel Extreme Value and log Pearson Type III methods A. Handique et al. 10.1007/s44288-024-00084-4
13 citations as recorded by crossref.
- Exploring Methodological Approaches for Strengthening the Resilience of Coastal Flood Protection System M. Igigabel et al. 10.3389/feart.2021.756936
- Perceptions of risk to compound coastal water events: A case study in eastern North Carolina, USA S. Curtis et al. 10.1016/j.pdisas.2022.100266
- Performance comparison of two deep learning models for flood susceptibility map in Beira area, Mozambique S. Ramayanti et al. 10.1016/j.ejrs.2022.11.003
- Economic optimization of coastal flood defence systems including storm surge barrier closure reliability L. Mooyaart et al. 10.1111/jfr3.12904
- Human displacements from Tropical Cyclone Idai attributable to climate change B. Mester et al. 10.5194/nhess-23-3467-2023
- The distribution of Cyclone Idai’s water impacts in Beira, Mozambique C. McCordic et al. 10.1108/DPM-08-2023-0211
- Multivariate Analysis of Compound Flood Hazard Across Canada's Atlantic, Pacific and Great Lakes Coastal Areas F. Jalili Pirani & M. Najafi 10.1029/2022EF002655
- A globally applicable framework for compound flood hazard modeling D. Eilander et al. 10.5194/nhess-23-823-2023
- The compounding impacts of Cyclone Idai and their implications for urban inequality C. Williamson et al. 10.1016/j.ijdrr.2023.103526
- Trade‐offs and synergies in managing coastal flood risk: A case study for New York City R. Ceres et al. 10.1111/jfr3.12771
- Participatory risk assessment of pluvial floods in four towns of Niger M. Tiepolo et al. 10.1016/j.ijdrr.2022.103454
- The priorities and coping strategies of severely food insecure households in Beira in response to Cyclone Idai C. McCordic et al. 10.1016/j.ijdrr.2022.103423
- Modeling compound flood risk and risk reduction using a globally applicable framework: a pilot in the Sofala province of Mozambique D. Eilander et al. 10.5194/nhess-23-2251-2023
Latest update: 13 Dec 2024
Short summary
Flood risk management is especially complicated in coastal cities. The complexity of multiple flood hazards in a rapidly changing urban environment leads to a situation with many different potential measures and future scenarios. This research demonstrates a new model capable of quickly simulating flood impact and comparing many different strategies. This is applied to the city of Beira, where it was able to provide new insights into the local flood risk and potential strategies.
Flood risk management is especially complicated in coastal cities. The complexity of multiple...
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