Critical issues related to a combined probabilistic numerical analysis of contaminant transport in porous media

Jeffrey D. Cawlfield, Ming-Chee Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reliability algorithms provide attractive alternatives to Monte Carlo simulation and stochastic perturbation approaches for probabilistic analysis of contaminant transport in porous media. We describe results and issues for further study based on a first-order reliability analysis in conjunction with a two-dimensional finite element model of transport in porous media. Probabilistic sensitivity measures provide valuable information on the importance of the uncertain variables - particularly the spatially discretized permeability values. An example flow region is analyzed and longitudinal dispersivity, fluid density, solid grain density, and distribution coefficient have the greatest influence on the probabilistic outcome. These are all global uncertain variables, as opposed to the discretized permeability uncertain variables. The authors' previous work with analytical transport solutions indicated dispersivity had little influence on the probabilistic outcome; rather, those models were dominated by the uncertainty in flow velocity and the reaction terms.

Original languageEnglish
Title of host publicationProbabilistic Mechanics and Structural and Geotechnical Reliability, Proceedings of the Specialty Conference
PublisherPubl by ASCE
Pages232-235
Number of pages4
ISBN (Print)0872628736
Publication statusPublished - 1992 Dec 1
EventProceedings of the 6th ASCE Specialty Conference on Probabilistic Mechanics, and Structural and Geotechnical Reliability - Denver, CO, USA
Duration: 1992 Jul 81992 Jul 10

Publication series

NameProbabilistic Mechanics and Structural and Geotechnical Reliability, Proceedings of the Specialty Conference

Other

OtherProceedings of the 6th ASCE Specialty Conference on Probabilistic Mechanics, and Structural and Geotechnical Reliability
CityDenver, CO, USA
Period92-07-0892-07-10

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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