Skip to Main content Skip to Navigation
Journal articles

Rainfall-runoff modeling of flash floods in the absence of rainfall forecasts: the case of “Cévenol flash floods”

Abstract : “Cévenol flash floods” are famous in the field of hydrology, because they are archetypical of flash floods that occur in populated areas, thereby causing heavy damages and casualties. As a consequence, their prediction has become a stimulating challenge to designers of mathematical models, whether physics based or machine learning based. Because current, state-of-the-art hydrological models have difficulty performing forecasts in the absence of rainfall previsions, new approaches are necessary. In the present paper, we show that an appropriate model selection methodology, applied to neural network models, provides reliable two-hour ahead flood forecasts.
Document type :
Journal articles
Complete list of metadatas

https://hal.mines-ales.fr/hal-02915460
Contributor : Administrateur Imt - Mines Alès <>
Submitted on : Friday, August 14, 2020 - 3:37:02 PM
Last modification on : Saturday, September 5, 2020 - 3:04:03 AM

Links full text

Identifiers

Citation

Mohamed Toukourou, Anne Johannet, Gérard Dreyfus, Pierre-Alain Ayral. Rainfall-runoff modeling of flash floods in the absence of rainfall forecasts: the case of “Cévenol flash floods”. Applied Intelligence, Springer Verlag (Germany), 2011, 35 (2), pp.178-189. ⟨10.1007/s10489-010-0210-y⟩. ⟨hal-02915460⟩

Share

Metrics

Record views

21