Articles | Volume 26, issue 3
https://doi.org/10.5194/hess-26-689-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-689-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Compound flood impact forecasting: integrating fluvial and flash flood impact assessments into a unified system
Josias Láng-Ritter
CORRESPONDING AUTHOR
Center of Applied Research in Hydrometeorology, Universitat Politècnica de Catalunya, BarcelonaTech, Jordi Girona 1-3 (C4-S1), 08034 Barcelona, Spain
Water and Development Research Group, Aalto University, Tietotie 1E, 02150 Espoo, Finland
Marc Berenguer
Center of Applied Research in Hydrometeorology, Universitat Politècnica de Catalunya, BarcelonaTech, Jordi Girona 1-3 (C4-S1), 08034 Barcelona, Spain
Francesco Dottori
European Commission, Joint Research Centre, Space, Security and Migration Directorate, Via E. Fermi 2749, 21027 Ispra, Italy
Milan Kalas
Freelance consultant, Sladkovicova 228/8, 01401 Bytca, Slovakia
Daniel Sempere-Torres
Center of Applied Research in Hydrometeorology, Universitat Politècnica de Catalunya, BarcelonaTech, Jordi Girona 1-3 (C4-S1), 08034 Barcelona, Spain
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Cited
22 citations as recorded by crossref.
- Satellite-based monitoring and hazard assessment of multiple flooding types in the Haihe river Basin induced by the July 2023 extreme rainstorm Z. Xu et al.
- Global gridded population datasets systematically underrepresent rural population J. Láng-Ritter et al.
- Characterizing future changes in compound flood risk by capturing the dependence between rainfall and river flow: An application to the Yangtze River Basin, China J. Yu et al.
- Inundación compuesta en el estuario de Santoña: umbrales bivariados y su aplicación en alertas tempranas D. Gómez-Rave et al.
- A review on the prevention and control of flash flood hazards on a global scale: Early warning systems, vulnerability assessment, environmental, and public health burden G. Al-Rawas et al.
- Development of an Early Warning System for Compound Coastal and Fluvial Flooding: Implementation at the Alfeios River Mouth, Greece A. Metallinos et al.
- Performance benchmarking on several regression models applied in urban flash flood risk assessment H. Hu et al.
- Analytical probabilistic model to estimate exceedance probabilities of event runoff depth in urban catchments A. Mohammed et al.
- Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions J. Green et al.
- Opportunities and challenges for people-centered multi-hazard early warning systems: Perspectives from the Global South M. Budimir et al.
- Following up on flood adaptation in Québec households four years later: A prospective exploratory study P. Valois et al.
- How are public compensation efforts implemented in multi-hazard events? Insights from the 2020 Gloria storm in Catalonia N. Pantaleoni Reluy et al.
- Methods and technologies for impact-based early warning of weather and geo-hazards: Overview and perspectives for multi-risk integration A. Zollo et al.
- Identification and mapping of multi-type flood hotspots using an ensemble technique in the transboundary of Kabul River Basin Z. Rahman 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.
- Evaluación del riesgo de inundación: estado actual y perspectivas futuras en España P. Molina-López et al.
- A composite index framework for compound flood risk assessment J. Del-Rosal-Salido et al.
- Towards more accurate very short-range flood forecasts with physics-enhanced machine learning models R. Bezerra et al.
- A High-Resolution DEM-Based Method for Tracking Urban Pluvial–Fluvial Floods Y. Liang et al.
- Utilization of GIS Technology for Mapping Flood-Prone Areas in Ambon Island, Indonesia H. Rakuasa & V. Khromykh
- Quantifying the added value of impact-based warnings for flash flood monitoring using innovative multi-source impact data J. Godet et al.
- Study on Risk Assessment of Flash Floods in Hubei Province Y. Tu et al.
22 citations as recorded by crossref.
- Satellite-based monitoring and hazard assessment of multiple flooding types in the Haihe river Basin induced by the July 2023 extreme rainstorm Z. Xu et al.
- Global gridded population datasets systematically underrepresent rural population J. Láng-Ritter et al.
- Characterizing future changes in compound flood risk by capturing the dependence between rainfall and river flow: An application to the Yangtze River Basin, China J. Yu et al.
- Inundación compuesta en el estuario de Santoña: umbrales bivariados y su aplicación en alertas tempranas D. Gómez-Rave et al.
- A review on the prevention and control of flash flood hazards on a global scale: Early warning systems, vulnerability assessment, environmental, and public health burden G. Al-Rawas et al.
- Development of an Early Warning System for Compound Coastal and Fluvial Flooding: Implementation at the Alfeios River Mouth, Greece A. Metallinos et al.
- Performance benchmarking on several regression models applied in urban flash flood risk assessment H. Hu et al.
- Analytical probabilistic model to estimate exceedance probabilities of event runoff depth in urban catchments A. Mohammed et al.
- Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions J. Green et al.
- Opportunities and challenges for people-centered multi-hazard early warning systems: Perspectives from the Global South M. Budimir et al.
- Following up on flood adaptation in Québec households four years later: A prospective exploratory study P. Valois et al.
- How are public compensation efforts implemented in multi-hazard events? Insights from the 2020 Gloria storm in Catalonia N. Pantaleoni Reluy et al.
- Methods and technologies for impact-based early warning of weather and geo-hazards: Overview and perspectives for multi-risk integration A. Zollo et al.
- Identification and mapping of multi-type flood hotspots using an ensemble technique in the transboundary of Kabul River Basin Z. Rahman 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.
- Evaluación del riesgo de inundación: estado actual y perspectivas futuras en España P. Molina-López et al.
- A composite index framework for compound flood risk assessment J. Del-Rosal-Salido et al.
- Towards more accurate very short-range flood forecasts with physics-enhanced machine learning models R. Bezerra et al.
- A High-Resolution DEM-Based Method for Tracking Urban Pluvial–Fluvial Floods Y. Liang et al.
- Utilization of GIS Technology for Mapping Flood-Prone Areas in Ambon Island, Indonesia H. Rakuasa & V. Khromykh
- Quantifying the added value of impact-based warnings for flash flood monitoring using innovative multi-source impact data J. Godet et al.
- Study on Risk Assessment of Flash Floods in Hubei Province Y. Tu et al.
Saved (final revised paper)
Latest update: 18 May 2026
Short summary
During flood events, emergency managers such as civil protection authorities rely on flood forecasts to make informed decisions. In the current practice, they monitor several separate forecasts, each one of them covering a different type of flooding. This can be time-consuming and confusing, ultimately compromising the effectiveness of the emergency response. This work illustrates how the automatic combination of flood type-specific impact forecasts can improve decision support systems.
During flood events, emergency managers such as civil protection authorities rely on flood...