Impact of model simplifications on soil erosion predictions: application of the GLUE methodology to a distributed event‐based model at the hillslope scale

Hydrological Processes - Tập 30 Số 7 - Trang 1096-1113 - 2016
Luís Cea1, Cédric Legoût2, Thomas Grangeon3,4, Guillaume Nord2
1Environmental and Water Engineering Group, Departamento de Métodos Matemáticos y de Representación Universidade da Coruña A Coruña Spain
2Université Grenoble Alpes/CNRS/G‐INP/IRD LTHE UMR 5564 Grenoble F‐38041 France
3Bureau de Recherches Géologiques et Minières 3 Avenue Claude Guillemin 45060 Orléans France
4EA6293 GéoHydrosystèmes Continentaux, Faculté des Sciences et Techniques Université François Rabelais de Tours Parc de Grandmont 37200 Tours France

Tóm tắt

AbstractIn this paper, we analyse how the performance and calibration of a distributed event‐based soil erosion model at the hillslope scale is affected by different simplifications on the parameterizations used to compute the production of suspended sediment by rainfall and runoff. Six modelling scenarios of different complexity are used to evaluate the temporal variability of the sedimentograph at the outlet of a 60 m long cultivated hillslope. The six scenarios are calibrated within the generalized likelihood uncertainty estimation framework in order to account for parameter uncertainty, and their performance is evaluated against experimental data registered during five storm events. The Nash–Sutcliffe efficiency, percent bias and coverage performance ratios show that the sedimentary response of the hillslope in terms of mass flux of eroded soil can be efficiently captured by a model structure including only two soil erodibility parameters, which control the rainfall and runoff production of suspended sediment. Increasing the number of parameters makes the calibration process more complex without increasing in a noticeable manner the predictive capability of the model. Copyright © 2015 John Wiley & Sons, Ltd.

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Hydrological Processes

Tập 30 Số 7

1096-1113

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