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Article Dans Une Revue Hydrological Sciences Journal Année : 2018

Net rainfall estimation by the inversion of a geomorphology-based transfer function and discharge deconvolution

Résumé

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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Dates et versions

hal-01962155 , version 1 (20-12-2018)

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Houda Boudhraâ, Christophe Cudennec, Hervé Andrieu, Mohamed Slimani. Net rainfall estimation by the inversion of a geomorphology-based transfer function and discharge deconvolution. Hydrological Sciences Journal, 2018, 63, pp.285-301. ⟨10.1080/02626667.2018.1425801⟩. ⟨hal-01962155⟩
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