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

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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Submitted on : Thursday, December 20, 2018 - 2:13:51 PM
Last modification on : Tuesday, September 24, 2019 - 1:34:03 PM

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  • HAL Id : hal-01962155, version 1

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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, Taylor & Francis, 2018, 63, pp.285-301. ⟨hal-01962155⟩

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