Compound flood impact forecasting: integrating fluvial and flash flood impact assessments into a unified system

Láng-Ritter, Josias; Berenguer, Marc; Dottori, Francesco; Kalas, Milan; Sempere-Torres, Daniel

doi:https://doi.org/10.5194/hess-26-689-2022

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.

https://doi.org/10.5194/hess-26-689-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 3

Research article

|

10 Feb 2022

Research article |

| 10 Feb 2022

Compound flood impact forecasting: integrating fluvial and flash flood impact assessments into a unified system

Josias Láng-Ritter, Marc Berenguer, Francesco Dottori, Milan Kalas, and Daniel Sempere-Torres

Data sets

MX MeteoXarxa - Dades històriques AVAMET https://www.avamet.org/mx-meteoxarxa.php?id=2019-09-12

Confederación Hidrográfica del Segura – Sistema Automático de Información Hidrológica CHS http://saihweb.chsegura.es/apps/ivisor/inicial.php

GHS population grid, derived from EUROSTAT census data (2011) and ESM R2016, European Commission Freire, S., Halkia, M., and Pesaresi, M. http://data.europa.eu/89h/jrc-ghsl-ghs_pop_eurostat_europe_r2016a

EMSR388: Flood in the Southeast of Spain ERCC https://emergency.copernicus.eu/mapping/list-of-components/EMSR388

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.