Hydraulic and transport parameter assessment using column infiltration experiments

Abstract : In the present work, we study the quality of the statistical calibration of hydraulic and transport soil properties using an infiltration experiment in which, over a given period, tracer-contaminated water is injected into a laboratory column filled with a homogeneous soil. The numerical model is based on the Richards' equation for solving water flow and the advection-dispersion equation for solving solute transport. Several state variables (e.g., water content, solute concentration, pressure head) are measured during the experiment. Statistical calibration of the computer model is then carried out for different data sets and injection scenarios with the DREAM(ZS) Markov Chain Monte Carlo sampler. The results show that the injection period has a significant effect on the quality of the estimation, in particular, the posterior uncertainty range. The hydraulic and transport parameters of the investigated soil can be estimated from the infiltration experiment using the concentration and cumulative outflow, which are measured non-intrusively. A significant improvement of the identifiability of the parameters is observed when the pressure data from measurements taken inside the column are also considered in the inversion.
Type de document :
Article dans une revue
Hydrology and Earth System Sciences Discussions, European Geosciences Union, 2016, pp.1 - 36. 〈10.5194/hess-2016-295-RC2〉
Liste complète des métadonnées

http://hal.univ-reunion.fr/hal-01475684
Contributeur : Réunion Univ <>
Soumis le : vendredi 24 février 2017 - 07:01:54
Dernière modification le : mardi 29 mai 2018 - 12:50:51

Fichier

hess-2016-295.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Collections

Citation

Ajmia Younes Orfi, Thierry A. Mara, M. Fahs, O. Grunenberger, Philippe Ackerer. Hydraulic and transport parameter assessment using column infiltration experiments. Hydrology and Earth System Sciences Discussions, European Geosciences Union, 2016, pp.1 - 36. 〈10.5194/hess-2016-295-RC2〉. 〈hal-01475684〉

Partager

Métriques

Consultations de la notice

276

Téléchargements de fichiers

158