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BAYESIAN ESTIMATION OF HYDRAULIC AND SOLUTE TRANSPORT PARAMETERS FROM LABORATORY SOIL COLUMN EXPERIMENTS

DOI: 10.1615/ICHMT.2009.CONV.690
page 20

Helcio R. B. Orlande
Department of Mechanical Engineering and Oncobiology Program, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

Martinus Th. van Genuchten
DEM/PEM - Politécnica/COPPE Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, 21941-972, Brazil

Renato M. Cotta
Laboratory of Nano- and Microfluidics and Microsystems, LabMEMS, Mechanical Engineering Department and Nanotechnology Engineering Dept., POLI & COPPE, Universidade Federal do Rio de Janeiro, Cidade Universitária, Cx. Postal 68503, Rio de Janeiro, RJ, CEP 21945-970, Brazil; Interdisciplinary Nucleus for Social Development—NIDES/CT, UFRJ, Brazil; Mechanical Engineering Department, University College London, UCL, United Kingdom

Paulo H. Moreira
DEM/PEM - Politécnica/COPPE Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, 21941-972, Brazil

Sinopsis

This work deals with the characterization of unsaturated hydraulic and solute transport properties of soils in small-scale laboratory column experiments. A Bayesian approach of parameter estimation is applied and the unknown parameters are estimated with a Markov Chain Monte Carlo (MCMC) Method, through the implementation of the Metropolis-Hastings algorithm. The sensitivity coefficients are examined in order to determine the most meaningful measurements for the identification of the unknown parameters. Results obtained with simulated measurements reveals the robustness of the proposed approach.

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