Soil Hydraulic Parameters Characterizing Preferential Water Flow: Estimability Analysis and Identification

Abstract : Preferential flow may significantly affect the acceleration of contaminant transport, which can be described by the use of nonequilibrium models such as dual-porosity and dual-permeability models. Its modeling requires many parameters that are generally difficult to measure. The determination of the parameters in these nonequilibrium models from experimental measurements is a challenging task and is usually carried out using parameter optimization methods. In this study, prior to the identification process, an estimability analysis was carried out in order to determine the set of the most estimable parameters in the dual-porosity model from the available experimental data collected from the field lysimeter (pressure heads, water contents, cumulative percolation, and evaporation). The most estimable parameters were then identified, and the less estimable ones were fixed from previous studies, literature, or additional measures. The results obtained from the estimability analysis showed that five out of the eight parameters were estimable from the combination of daily pressure heads and water contents. The five estimable parameters were then identified using the Levenberg-Marquardt method implemented within one-dimensional finite-element model software. Saturated water contents in the mobile and immobile regions were impossible to estimate simultaneously due to their high correlation. When the water transfer coefficient was included in the identification procedure, the optimization results worsened due to its low estimability from pressure heads and water contents. Removing saturated water content in the immobile region and saturated hydraulic conductivity, which had a strong correlation with more estimable parameters, led to the improvement of the optimization results. As a result, the water transfer parameter was estimated with reliability.
Type de document :
Article dans une revue
Journal of Hydrologic Engineering, American Society of Civil Engineers, 2014, 19 (10), 〈10.1061/(ASCE)HE.1943-5584.0000953〉
Domaine :
Liste complète des métadonnées

https://hal.univ-lorraine.fr/hal-01274182
Contributeur : Lrgp Ul <>
Soumis le : lundi 15 février 2016 - 15:29:08
Dernière modification le : jeudi 11 janvier 2018 - 06:25:27

Identifiants

Collections

Citation

Viet V. Ngo, Abderrazak Latifi, Marie-Odile Simonnot. Soil Hydraulic Parameters Characterizing Preferential Water Flow: Estimability Analysis and Identification. Journal of Hydrologic Engineering, American Society of Civil Engineers, 2014, 19 (10), 〈10.1061/(ASCE)HE.1943-5584.0000953〉. 〈hal-01274182〉

Partager

Métriques

Consultations de la notice

58