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Communication Dans Un Congrès Année : 2021

Investigating hydrological model versatility to simulate extreme flood events

Résumé

High-impact flood events in the Mediterranean region are often the result of a combination of local climate and topographic characteristics of the region. Therefore, the way runoff generation processes are represented in hydrological models is a key factor to simulate and forecast floods. In this study, we adapt an existing model in order to increase its versatility to simulate flood events occurring under different conditions: during or after wet periods and after long and dry summer periods. The model adaptation introduces a dependency on rainfall intensity in the production function. The impact of this adaptation is analysed considering model performance over selected flood events and also over a continuous 10-year period of flows. The event-based assessment showed that the adapted model structure performs better than or equal to the original model structure in terms of differences in the timing of peak discharges, regardless of the season of the year when the flood occurs. The most important improvement was observed in the simulation of the magnitude of the flood peaks. A visualisation of model versatility is proposed, which allows detecting the time steps when the new model structure tends to behave more similarly or differently from the original model structure in terms of runoff production. Overall, the results show the potential of the model adaptation proposed to simulate floods originated by different hydrological processes and the value of increasing hydrological model versatility to simulate extreme events.

Domaines

Hydrologie
Fichier non déposé

Dates et versions

hal-04573219 , version 1 (13-05-2024)

Identifiants

Citer

Daniela Peredo, Maria-Helena Ramos, Vazken Andréassian, Ludovic Oudin. Investigating hydrological model versatility to simulate extreme flood events. EGU General Assembly 2021, Apr 2021, Online conference, France. ⟨10.5194/egusphere-egu21-2984⟩. ⟨hal-04573219⟩
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