A Markov random field model of contamination source identification in porous media flow
- 31 March 2006
- journal article
- Published by Elsevier BV in International Journal of Heat and Mass Transfer
- Vol. 49 (5-6), 939-950
- https://doi.org/10.1016/j.ijheatmasstransfer.2005.09.016
Abstract
No abstract availableThis publication has 16 references indexed in Scilit:
- Hierarchical Bayesian models for inverse problems in heat conductionInverse Problems, 2004
- A Bayesian inference approach to the inverse heat conduction problemInternational Journal of Heat and Mass Transfer, 2004
- Stabilized methods and post-processing techniques for miscible displacementsComputer Methods in Applied Mechanics and Engineering, 2004
- Application of geostatistical inverse modeling to contaminant source identification at Dover AFB, DelawareJournal of Hydraulic Research, 2004
- A method for enforcing parameter nonnegativity in Bayesian inverse problems with an application to contaminant source identificationWater Resources Research, 2003
- A Bayesian approach to characterizing uncertainty in inverse problems using coarse and fine-scale informationIEEE Transactions on Signal Processing, 2002
- An ELLAM-MFEM Solution Technique for Compressible Fluid Flows in Porous Media with Point Sources and SinksJournal of Computational Physics, 2000
- A geostatistical approach to contaminant source identificationWater Resources Research, 1997
- Higher-order gradient post-processings for second-order elliptic problemsComputer Methods in Applied Mechanics and Engineering, 1995
- Bayesian Computation and Stochastic SystemsStatistical Science, 1995