1. Accounting for sparsely observed rainfall space-time variability in a rainfall-runoff model of a semiarid Tunisian basin
- Author
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Christophe Cudennec, Slimani, M., Le Goulven, P., Sol Agro et hydrosystème Spatialisation (SAS), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), US Dynamiques, Impacts et Valorisation des Hydro-Aménagements, El Menzah, Tunis, Tunisie, Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie]), Génie Rurale, Institut National de la Recherche Agronomique de Tunisie (INRAT), US Dynamiques, Impacts et Valorisation des Hydro-Aménagements, and AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA)
- Subjects
tunisie ,Tunisia ,[SDV]Life Sciences [q-bio] ,HYDROLOGIE ,BASSIN SEMI-ARIDE ,SEMIARID BASIN ,semiarid basin ,afrique ,area function ,geomorphology based unit hydrograph ,VARIABILITE SPATIO-TEMPORELLE ,tunisia ,pays méditerranéen ,AREA FUNCTION ,PLUIE ,RAINFALL SPACE-TIME VARABILITY ,GEOMORPHOLOGY-BASED UNIT HYDROGRAPH ,rainfall space time variability ,HYDROGRAMME UNITAIRE A BASE GEOMORPHOLOGIQUE ,FONCTION AIRE - Abstract
The management of water excesses and deficits is a major task in semiarid Mediterranean regions, where the variability of rainfall inputs is high at different time and space scales. Thus intense hydrometeorological events, which generate both potential resource and hazards, are of major interest. A simple method is proposed, with the example of the Skhira basin (192 km(2)) in central Tunisia, to account for the event space-time variability of rainfall in a rainfall-runoff model, in order to check its influence on the shape, magnitude and timing of resulting hydrographs. The transfer function used is a geomorphology-based unit hydrograph with an explicit territorial significance. Simulations made for highly variable events show the relevance of this method, seen as the first step of a downward approach, and its robustness with respect to the quality and the density of rainfall data.
- Published
- 2005