Publications des scientifiques de l'IRD

Tramblay Yves, Bouvier Christophe, Martin C., Didon-Lescot J. F., Todorovik D., Domergue J. M. (2010). Assessment of initial soil moisture conditions for event-based rainfall-runoff modelling. Journal of Hydrology, 387 (3-4), p. 176-187. ISSN 0022-1694.

Titre du document
Assessment of initial soil moisture conditions for event-based rainfall-runoff modelling
Année de publication
2010
Type de document
Article référencé dans le Web of Science WOS:000279277100003
Auteurs
Tramblay Yves, Bouvier Christophe, Martin C., Didon-Lescot J. F., Todorovik D., Domergue J. M.
Source
Journal of Hydrology, 2010, 387 (3-4), p. 176-187 ISSN 0022-1694
Flash floods are the most destructive natural hazards that occur in the Mediterranean region. Rainfall-runoff models can be very useful for flash flood forecasting and prediction. Event-based models are very popular for operational purposes, but there is a need to reduce the uncertainties related to the initial moisture conditions estimation prior to a flood event. This paper aims to compare several soil moisture indicators: local Time Domain Reflectometry (TDR) measurements of soil moisture, modelled soil moisture through the Interaction-Sol-Biosphere-Atmosphere (ISBA) component of the SIM model (Meteo-France), antecedent precipitation and base flow. A modelling approach based on the Soil Conservation Service-Curve Number method (SCS-CN) is used to simulate the flood events in a small headwater catchment in the Cevennes region (France). The model involves two parameters: one for the runoff production, S. and one for the routing component, K. The S parameter can be interpreted as the maximal water retention capacity, and acts as the initial condition of the model, depending on the antecedent moisture conditions. The model was calibrated from a 20-flood sample, and led to a median Nash value of 0.9. The local TDR measurements in the deepest layers of soil (80-140 cm) were found to be the best predictors for the S parameter. TDR measurements averaged over the whole soil profile, outputs of the SIM model, and the logarithm of base flow also proved to be good predictors, whereas antecedent precipitations were found to be less efficient. The good correlations observed between the TDR predictors and the S calibrated values indicate that monitoring soil moisture could help setting the initial conditions for simplified event-based models in small basins.
Plan de classement
Hydrologie [062]
Localisation
Fonds IRD [F B010049610]
Identifiant IRD
fdi:010049610
Contact