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Article Dans Une Revue Soil Science Année : 2013

Reduction of feasible parameter space of the inverted soil hydraulic parameter sets for Kosugi model.

Résumé

Effective soil hydraulic parameters of soil vegetation atmo- sphere transfer (SVAT) models can be derived in a cost-efficient way by inverse modeling. Nevertheless, a serious drawback of SVAT models based on Richards' equation is that they require as many as five unex- ploited correlated hydraulic parameters. To reduce the feasible parame- ter space, we propose a method to prevent nonphysical combinations of soil hydraulic parameter sets obtained by optimization. We adopt the soil hydraulic analytical model by Kosugi because it enables the feasible parameter space to be reduced by predicting parameter σ from Rm, which are the variance and mean of the log-transformed soil pore ra- dius, respectively. To further decrease the parameter space, we derive two models to predict saturated hydraulic conductivity, Ks, from three or four Kosugi soil water retention parameters, respectively. These two models are based on the combination of the Hagen-Poiseuille and Darcy equations that use three semiempirical parameters (τ1, τ2, and τ3) cali- brated on large UNSODA and HYPRES databases. Our derived models are compared with a version of the Mishra and Parker (1990. Ground Water. 28:775-777) Ks model being modified to account for the pa- rameters of Kosugi's relationships. The results show that the uncertain- ties of the developed Ks model are comparable to the uncertainties of Ks measurements. Moreover, the developed Ks model outperforms the Mishra and Parker model. Therefore, the developed method will enable one to substantially reduce the feasible range of the inverted Kosugi's hydraulic parameters.
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Dates et versions

halsde-00925111 , version 1 (07-01-2014)

Identifiants

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Joseph Alexander Paul Pollacco, Paolo Nasta, José M. Soria-Ugalde, Rafaël Angulo-Jaramillo, Laurent Lassabatère, et al.. Reduction of feasible parameter space of the inverted soil hydraulic parameter sets for Kosugi model.. Soil Science, 2013, 178 (6), pp.267-280. ⟨10.1097/SS.0b013e3182a2da21⟩. ⟨halsde-00925111⟩
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