@article{fdi:010077010,
  title = {{B}ayesian simultaneous estimation of unsaturated flow and solute transport parameters from a laboratory infiltration experiment},
  author = {{Y}ounes, {A}nis and {Z}aouali, {J}. and {K}anzari, {S}. and {L}ehmann, {F}. and {F}ahs, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{N}umerical modeling has become an irreplaceable tool for the investigation of water flow and solute transport in the unsaturated zone. {T}he use of this tool for real situations is often faced with lack of knowledge of hydraulic and soil transport parameters. {I}n this study, advanced experimental and numerical techniques are developed for an accurate estimation of the soil parameters. {A} laboratory unsaturated flow and solute transport experiment is conducted on a large undisturbed soil column of around 40 cm length. {B}romide, used as a nonreactive contaminant, is injected at the surface of the undisturbed soil, followed by a leaching phase. {T}he pressure measurements at different locations along the soil column as well as the outflow bromide concentration are collected during the experiment and used for the statistical calibration of flow and solute transport. {T}he {R}ichards equation, combined with constitutive relations for water content and permeability, is used to describe unsaturated flow. {B}oth linear and non-equilibrium mobile-immobile transport models are investigated for the solute transport. {A}ll hydraulic and mass transport parameters are inferred using a one-step {B}ayesian estimation with the {M}arkov chain {M}onte {C}arlo sampler. {T}he results prove that the pressure and concentration measurements are able to identify almost all hydraulic and mass transport parameters. {T}he mobile-immobile transport model better reproduces the infiltration experiment. {I}t produces narrower uncertainty intervals for soil parameters and predictive output concentrations.},
  keywords = {infiltration laboratory experiment ; {R}ichards equation ; advection-dispersion equation ; mobile-immobile model ; predictive ; uncertainty ; {M}arkov chain {M}onte {C}arlo ; {TUNISIE}},
  booktitle = {},
  journal = {{W}ater},
  volume = {11},
  numero = {8},
  pages = {art. 1660 [16 p.]},
  year = {2019},
  DOI = {10.3390/w11081660},
  URL = {https://www.documentation.ird.fr/hor/fdi:010077010},
}