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Communication Dans Un Congrès Année : 2016

Spatial variability of the parameters of a semi-distributed hydrological model

Alban de Lavenne
Guillaume Thirel
Vazken Andréassian
Charles Perrin
Maria-Helena Ramos

Résumé

Ideally, semi-distributed hydrologic models should provide better streamflow simulations than lumped models, along with spatially-relevant water resources management solutions. However, the spatial distribution of model parameters raises issues related to the calibration strategy and to the identifiability of the parameters. To analyse these issues, we propose to base the evaluation of a semi-distributed model not only on its performance at streamflow gauging stations, but also on the spatial and temporal pattern of the optimised value of its parameters. We implemented calibration over 21 rolling periods and 64 catchments, and we analysed how well each parameter is identified in time and space. Performance and parameter identifiability are analysed comparatively to the calibration of the lumped version of the same model. We show that the semi-distributed model faces more difficulties to identify stable optimal parameter sets. The main difficulty lies in the identification of the parameters responsible for the closure of the water balance (i.e. for the particular model investigated, the intercatchment groundwater flow parameter).
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Dates et versions

hal-01342122 , version 1 (05-07-2016)

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Alban de Lavenne, Guillaume Thirel, Vazken Andréassian, Charles Perrin, Maria-Helena Ramos. Spatial variability of the parameters of a semi-distributed hydrological model. 7th International Water Resources Management Conference of ICWRS, May 2016, Bochum, Germany. pp.87-94, ⟨10.5194/piahs-373-87-2016⟩. ⟨hal-01342122⟩

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