Net rainfall estimation by the inversion of a geomorphology-based transfer function and discharge deconvolution |
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| Authors: | Houda Boudhraâ Christophe Cudennec Hervé Andrieu Mohamed Slimani |
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| Institution: | 1. Département d'hydraulique, Ecole Supérieure des Ingénieurs de l’Equipement Rural de Medjez El Bab, Béja, Tunisiahoudabr@gmail.com;3. Agrocampus Ouest, INRA, UMR 1069 Sol Agro et Hydrosystème Spatialisation, Rennes, France;4. Département Géotechnique, Environnement, Risques naturels et Sciences de la Terre, Institut Fran?ais des Sciences et Technologies des Transports, de l’Aménagement et des Réseaux, Bouguenais, France;5. Génie Rural, Institut National Agronomique de Tunisie, Tunis, Tunisia |
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| Abstract: | The assessment of net rainfall, defined as the intermediate hydrological variable linked in between the hillslope and the river network, is a challenge. This paper presents a method for net rainfall estimation, using inverse modelling associated to a geomorphology-based transfer function. The analysis is carried out in semi-arid Tunisia, with a dataset from event discharges in a mesoscale dryland basin. A complete sensitivity analysis is developed, along with a discussion of validity limits for simplifying assumptions and the identification of paths for improvement. This work could be relevant for data-scarce areas, thanks to the use of simple dynamic conceptualization and being based on observable geomorphological features, adjusted to the available data and knowledge. |
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| Keywords: | geomorphology-based transfer function rainfall–runoff modelling net rainfall inverse modelling sensitivity analysis |
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