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
Viewed
Total article views: 4,171 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Aug 2021)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,963 | 1,134 | 74 | 4,171 | 53 | 57 |
- HTML: 2,963
- PDF: 1,134
- XML: 74
- Total: 4,171
- BibTeX: 53
- EndNote: 57
Total article views: 3,150 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Feb 2022)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,348 | 750 | 52 | 3,150 | 49 | 50 |
- HTML: 2,348
- PDF: 750
- XML: 52
- Total: 3,150
- BibTeX: 49
- EndNote: 50
Total article views: 1,021 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Aug 2021)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
615 | 384 | 22 | 1,021 | 4 | 7 |
- HTML: 615
- PDF: 384
- XML: 22
- Total: 1,021
- BibTeX: 4
- EndNote: 7
Viewed (geographical distribution)
Total article views: 4,171 (including HTML, PDF, and XML)
Thereof 4,003 with geography defined
and 168 with unknown origin.
Total article views: 3,150 (including HTML, PDF, and XML)
Thereof 3,040 with geography defined
and 110 with unknown origin.
Total article views: 1,021 (including HTML, PDF, and XML)
Thereof 963 with geography defined
and 58 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
16 citations as recorded by crossref.
- Global gridded population datasets systematically underrepresent rural population J. Láng-Ritter et al. 10.1038/s41467-025-56906-7
- 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. 10.1016/j.jhydrol.2024.131175
- Inundación compuesta en el estuario de Santoña: umbrales bivariados y su aplicación en alertas tempranas D. Gómez-Rave et al. 10.4995/ia.2025.23025
- 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. 10.1016/j.ijdrr.2024.105024
- Performance benchmarking on several regression models applied in urban flash flood risk assessment H. Hu et al. 10.1007/s11069-023-06341-y
- Analytical probabilistic model to estimate exceedance probabilities of event runoff depth in urban catchments A. Mohammed et al. 10.1016/j.jhydrol.2024.132407
- Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions J. Green et al. 10.5194/nhess-25-747-2025
- Opportunities and challenges for people-centered multi-hazard early warning systems: Perspectives from the Global South B. Mirianna et al. 10.1016/j.isci.2025.112353
- Following up on flood adaptation in Québec households four years later: A prospective exploratory study P. Valois et al. 10.1016/j.ijdrr.2023.103782
- Identification and mapping of multi-type flood hotspots using an ensemble technique in the transboundary of Kabul River Basin Z. Rahman et al. 10.1016/j.ejrh.2025.102468
- A composite index framework for compound flood risk assessment J. Del-Rosal-Salido et al. 10.1038/s43247-025-02331-z
- A High-Resolution DEM-Based Method for Tracking Urban Pluvial–Fluvial Floods Y. Liang et al. 10.3390/rs17071225
- Utilization of GIS Technology for Mapping Flood-Prone Areas in Ambon Island, Indonesia H. Rakuasa & V. Khromykh 10.18502/kss.v10i10.18679
- Study on Risk Assessment of Flash Floods in Hubei Province Y. Tu et al. 10.3390/w15040617
- Real-time assessment of flash flood impacts at pan-European scale: The ReAFFINE method J. Ritter et al. 10.1016/j.jhydrol.2021.127022
- Integrating LiDAR-derived DEM, rainfall radar data, and SAR imagery for 2D HEC-RAS modelling to assess the severity of pluvial flash floods induced by Storm Boris in SE Romania A. Mihu-Pintilie et al. 10.1080/19475705.2025.2488190
14 citations as recorded by crossref.
- Global gridded population datasets systematically underrepresent rural population J. Láng-Ritter et al. 10.1038/s41467-025-56906-7
- 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. 10.1016/j.jhydrol.2024.131175
- Inundación compuesta en el estuario de Santoña: umbrales bivariados y su aplicación en alertas tempranas D. Gómez-Rave et al. 10.4995/ia.2025.23025
- 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. 10.1016/j.ijdrr.2024.105024
- Performance benchmarking on several regression models applied in urban flash flood risk assessment H. Hu et al. 10.1007/s11069-023-06341-y
- Analytical probabilistic model to estimate exceedance probabilities of event runoff depth in urban catchments A. Mohammed et al. 10.1016/j.jhydrol.2024.132407
- Review article: A comprehensive review of compound flooding literature with a focus on coastal and estuarine regions J. Green et al. 10.5194/nhess-25-747-2025
- Opportunities and challenges for people-centered multi-hazard early warning systems: Perspectives from the Global South B. Mirianna et al. 10.1016/j.isci.2025.112353
- Following up on flood adaptation in Québec households four years later: A prospective exploratory study P. Valois et al. 10.1016/j.ijdrr.2023.103782
- Identification and mapping of multi-type flood hotspots using an ensemble technique in the transboundary of Kabul River Basin Z. Rahman et al. 10.1016/j.ejrh.2025.102468
- A composite index framework for compound flood risk assessment J. Del-Rosal-Salido et al. 10.1038/s43247-025-02331-z
- A High-Resolution DEM-Based Method for Tracking Urban Pluvial–Fluvial Floods Y. Liang et al. 10.3390/rs17071225
- Utilization of GIS Technology for Mapping Flood-Prone Areas in Ambon Island, Indonesia H. Rakuasa & V. Khromykh 10.18502/kss.v10i10.18679
- Study on Risk Assessment of Flash Floods in Hubei Province Y. Tu et al. 10.3390/w15040617
2 citations as recorded by crossref.
- Real-time assessment of flash flood impacts at pan-European scale: The ReAFFINE method J. Ritter et al. 10.1016/j.jhydrol.2021.127022
- Integrating LiDAR-derived DEM, rainfall radar data, and SAR imagery for 2D HEC-RAS modelling to assess the severity of pluvial flash floods induced by Storm Boris in SE Romania A. Mihu-Pintilie et al. 10.1080/19475705.2025.2488190
Latest update: 05 Jun 2025
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...