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An improved correlation model for sediment delivery ratio assessment
Authors:Nazzareno Diodato and Sergio Grauso
Institution:(1) TEDASS – Technologies Interdepartmental Center for Environmental Diagnostic and Sustainable Development, University of Sannio, 82100 Benevento, Italy;(2) Dipartimento Ambiente, Cambiamenti Globali e Sviluppo Sostenibile, ENEA C.R. Casaccia, via Anguillarese 301, 00123 Rome, Italy
Abstract:In the present work, a new simplified model approach for sediment delivery ratio (SDR) assessment is proposed. Modelling and assessing SDR is still an open question. Difficulties rise from the lack of sufficient data availability, on one side, and, on the other, from the inherent uncertainties including spatial variability and temporal discontinuity of the land cover, climatic, hydrological and geomorphological variables involved. The proposed SDRSIM model tries to skip over the limitations observed in other models generally adopted. A comparison with two different selected models amongst the most widespread simplified models, i.e. the area-model and the slope-model, is showed in application to a wide range of catchments extensions across different landscapes of Italy. The SDRSIM estimates were also evaluated against observed SDR over a validation dataset of 11 basins sparse over different regions of the world. The results showed the effectiveness of the proposed model approach based on easily available catchment parameters.
Keywords:
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