Show simple item record

dc.contributor.authorKooten JJA van
dc.contributor.authorUffink GJM
dc.date.accessioned2012-12-12T18:34:19Z
dc.date.available2012-12-12T18:34:19Z
dc.date.issued1993-07-31
dc.identifier715206001
dc.identifier.urihttp://hdl.handle.net/10029/259440
dc.description.abstractAbstract niet beschikbaar
dc.description.abstractMathematical models are frequently used in risk analysis for underground disposal of nuclear waste. The validity of these models is examined in an international validation project INTRAVAL. RIVM participates in INTRAVAL project for the validation of the code METROPOL, a groundwater flow and solute transport program developed at RIVM. Within INTRAVAL several test-cases have been formulated. One of these test cases is an in-situ migration experiment in an argillaceous formation at 220 meters depth at Mol, Belgium. This experiment has been set up to examine whether parameters derived from laboratory experiments may be used for long term predictions on a larger scale. The present report describes the simulations of the experiment with the METROPOL code and it discusses an analytical solution of the problem. The simulation results indicate that the model concept of the METROPOL code provides an adequate description of the tracer migration in the Boom clay at the Mol site. However, to prevent discretization errors, a fine mesh is required to model the process in areas where steep concentration gradients are expected. Application of fine meshes leads to a larger number of nodal points and, consequently, to an increase of required computer memory and CPU time consumption. With respect to the parameters from the laboratory tests, it is shown these can be used for long term predictions of problems at field scale.
dc.description.sponsorshipDGM/SVS EZ
dc.format.extent40 p
dc.language.isoen
dc.relation.ispartofRIVM Rapport 715206001
dc.relation.urlhttp://www.rivm.nl/bibliotheek/rapporten/715206001.html
dc.subject13nl
dc.subjectgrondwaternl
dc.subjectstromingnl
dc.subjecttransportnl
dc.subjectradioactief afvalnl
dc.subjectzoutlaagnl
dc.subjectondergrondse opslagnl
dc.subjectwiskundig modelnl
dc.subjectrisiconl
dc.subjectsimulatienl
dc.subjectgroundwateren
dc.subjectflowen
dc.subjecttransport processesen
dc.subjectnuclear wasteen
dc.subjectsalt domesen
dc.subjectdisposalen
dc.subjectunderground storageen
dc.subjectmodellingen
dc.subjectrisksen
dc.subjectsimulationen
dc.subjectsolute transport in groundwateren
dc.titleINTRAVAL phase 2, test case Mol. Simulation of the underground migration experimenten
dc.title.alternative[INTRAVAL fase 2, test case Mol. Simulatie van het ondergrondse migratie experiment.]nl
dc.typeReport
dc.date.updated2012-12-12T18:34:20Z
html.description.abstractAbstract niet beschikbaar
html.description.abstractMathematical models are frequently used in risk analysis for underground disposal of nuclear waste. The validity of these models is examined in an international validation project INTRAVAL. RIVM participates in INTRAVAL project for the validation of the code METROPOL, a groundwater flow and solute transport program developed at RIVM. Within INTRAVAL several test-cases have been formulated. One of these test cases is an in-situ migration experiment in an argillaceous formation at 220 meters depth at Mol, Belgium. This experiment has been set up to examine whether parameters derived from laboratory experiments may be used for long term predictions on a larger scale. The present report describes the simulations of the experiment with the METROPOL code and it discusses an analytical solution of the problem. The simulation results indicate that the model concept of the METROPOL code provides an adequate description of the tracer migration in the Boom clay at the Mol site. However, to prevent discretization errors, a fine mesh is required to model the process in areas where steep concentration gradients are expected. Application of fine meshes leads to a larger number of nodal points and, consequently, to an increase of required computer memory and CPU time consumption. With respect to the parameters from the laboratory tests, it is shown these can be used for long term predictions of problems at field scale.


This item appears in the following Collection(s)

Show simple item record