Bayesian estimation of the hydraulic and solute transport properties of a small-scale unsaturated soil column

Title:

Bayesian estimation of the hydraulic and solute transport properties of a small-scale unsaturated soil column

Creator:

Moreira, Paulo H. S., van Genuchte, Martinus Th., Orlande, Helcio R. B., and Cotta, Renato M.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:cd97bf95-9d13-4456-99f3-614c87e245cc
uuid:cd97bf95-9d13-4456-99f3-614c87e245cc
doi:10.1515/johh-2016-0002

Subject:

Markov Chain Monte Carlo method, Metropolis-Hastings algorithm, hydraulic parameters, transport parameters, and soil column experiment

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

In this study the hydraulic and solute transport properties of an unsaturated soil were estimated simultaneously from a relatively simple small-scale laboratory column infiltration/outflow experiment. As governing equations we used the Richards equation for variably saturated flow and a physical non-equilibrium dual-porosity type formulation for solute transport. A Bayesian parameter estimation approach was used in which the unknown parameters were estimated with the Markov Chain Monte Carlo (MCMC) method through implementation of the Metropolis-Hastings algorithm. Sensitivity coefficients were examined in order to determine the most meaningful measurements for identifying the unknown hydraulic and transport parameters. Results obtained using the measured pressure head and solute concentration data collected during the unsaturated soil column experiment revealed the robustness of the proposed approach.

Language:

Slovak

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

30-44

Source:

Journal of hydrology and hydromechanics | 2016 Volume:64 | Number:1

Harvested from:

CDK

Metadata only:

false