Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2251-2023
© Author(s) 2023. 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-23-2251-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Jun 2023
Research article |
| 21 Jun 2023
| 21 Jun 2023
Modeling compound flood risk and risk reduction using a globally applicable framework: a pilot in the Sofala province of Mozambique
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, Amsterdam, the Netherlands
Deltares, Delft, the Netherlands
Anaïs Couasnon
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, Amsterdam, the Netherlands
Deltares, Delft, the Netherlands
Frederiek C. Sperna Weiland
Deltares, Delft, the Netherlands
Willem Ligtvoet
Department of Water, Agriculture and Food, PBL Netherlands Environmental Assessment Agency (PBL), The Hague, the Netherlands
Arno Bouwman
Department of Water, Agriculture and Food, PBL Netherlands Environmental Assessment Agency (PBL), The Hague, the Netherlands
Hessel C. Winsemius
Deltares, Delft, the Netherlands
Philip J. Ward
Institute for Environmental Studies (IVM), Vrije Universiteit
Amsterdam, Amsterdam, the Netherlands
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Cited
21 citations as recorded by crossref.
- VineCopulas: an open-source Python package for vine copula modelling J. Claassen et al.
- Assessing the spatial correlation of potential compound flooding in the United States H. Li et al.
- Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions J. Green et al.
- Modeling surge dynamics improves coastal flood estimates in a global set of tropical cyclones T. Vogt et al.
- Integrating relative sea level rise into compound flooding hazard assessment for coastal cities Q. Liu et al.
- Towards a typology for hybrid compound flood modeling S. Radfar et al.
- Accelerating compound flood risk assessments through active learning: A case study of Charleston County (USA) L. Terlinden-Ruhl et al.
- Global mapping of potential coastal compound flood risk at 0.1∘ resolution J. Zhang & M. Convertino
- Quantifying future changes of flood hazards within the Broadland catchment in the UK R. Gudde et al.
- Compound flood impacts from Hurricane Sandy on New York City in climate-driven storylines H. Goulart et al.
- Mapping global freshwater ecosystems to guide national restoration targets and nature-based solutions M. Hashemi et al.
- Modelling and Mapping Rapid-Onset Coastal Flooding: A Systematic Literature Review A. Re et al.
- A Synthetic European Weather Dataset Based on Spatiotemporal Vine Copulas J. Claassen et al.
- Multi-Hazard Extreme Scenario Quantification Using Intensity, Duration, and Return Period Characteristics A. Sfetsos et al.
- Preface: Hydro-meteorological extremes and hazards: vulnerability, risk, impacts, and mitigation F. Marra et al.
- Flood risks, expected annual impacts and willingness to pay for a catastrophe insurance policy in the Uvira health zone, eastern DRC E. Smith et al.
- Leveraging Coupled Hydrodynamic with Data-Driven GeoAI Models for Advancing Systemic Compound Flood Risk Evaluation in Coastal Urban Areas T. Atmaja et al.
- Exploring coastal climate adaptation through storylines: Insights from cyclone Idai in Beira, Mozambique H. Goulart et al.
- Climate and impact attribution of compound flooding induced by tropical cyclone Idai in Mozambique D. Vertegaal et al.
- Formulating a warning threshold for coastal compound flooding: A copula-based approach M. Lin et al.
- Lessons learned from the modeling of nature-based solutions for urban flood mitigation in Ottawa, Canada A. Zoghi et al.
21 citations as recorded by crossref.
- VineCopulas: an open-source Python package for vine copula modelling J. Claassen et al.
- Assessing the spatial correlation of potential compound flooding in the United States H. Li et al.
- Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions J. Green et al.
- Modeling surge dynamics improves coastal flood estimates in a global set of tropical cyclones T. Vogt et al.
- Integrating relative sea level rise into compound flooding hazard assessment for coastal cities Q. Liu et al.
- Towards a typology for hybrid compound flood modeling S. Radfar et al.
- Accelerating compound flood risk assessments through active learning: A case study of Charleston County (USA) L. Terlinden-Ruhl et al.
- Global mapping of potential coastal compound flood risk at 0.1∘ resolution J. Zhang & M. Convertino
- Quantifying future changes of flood hazards within the Broadland catchment in the UK R. Gudde et al.
- Compound flood impacts from Hurricane Sandy on New York City in climate-driven storylines H. Goulart et al.
- Mapping global freshwater ecosystems to guide national restoration targets and nature-based solutions M. Hashemi et al.
- Modelling and Mapping Rapid-Onset Coastal Flooding: A Systematic Literature Review A. Re et al.
- A Synthetic European Weather Dataset Based on Spatiotemporal Vine Copulas J. Claassen et al.
- Multi-Hazard Extreme Scenario Quantification Using Intensity, Duration, and Return Period Characteristics A. Sfetsos et al.
- Preface: Hydro-meteorological extremes and hazards: vulnerability, risk, impacts, and mitigation F. Marra et al.
- Flood risks, expected annual impacts and willingness to pay for a catastrophe insurance policy in the Uvira health zone, eastern DRC E. Smith et al.
- Leveraging Coupled Hydrodynamic with Data-Driven GeoAI Models for Advancing Systemic Compound Flood Risk Evaluation in Coastal Urban Areas T. Atmaja et al.
- Exploring coastal climate adaptation through storylines: Insights from cyclone Idai in Beira, Mozambique H. Goulart et al.
- Climate and impact attribution of compound flooding induced by tropical cyclone Idai in Mozambique D. Vertegaal et al.
- Formulating a warning threshold for coastal compound flooding: A copula-based approach M. Lin et al.
- Lessons learned from the modeling of nature-based solutions for urban flood mitigation in Ottawa, Canada A. Zoghi et al.
Saved (final revised paper)
Latest update: 11 May 2026
Short summary
This study presents a framework for assessing compound flood risk using hydrodynamic, impact, and statistical modeling. A pilot in Mozambique shows the importance of accounting for compound events in risk assessments. We also show how the framework can be used to assess the effectiveness of different risk reduction measures. As the framework is based on global datasets and is largely automated, it can easily be applied in other areas for first-order assessments of compound flood risk.
This study presents a framework for assessing compound flood risk using hydrodynamic, impact,...
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