GRRR. The EXPECT groundwater model for transport of solutes

2.50
Hdl Handle:
http://hdl.handle.net/10029/255676
Title:
GRRR. The EXPECT groundwater model for transport of solutes
Authors:
Meijers R; Sauter FJ; Veling EJM; van Grinsven JJM; Leijnse A; Uffink GJM
Other Titles:
[GRRR. Het EXPECT grondwater model voor stofstransport.]
Abstract:
In this report the design and first test results are presented of the EXPECT groundwater module for transport of solutes GRRR (GRoundwater source Receptor Relationships). This model is one of the abiotic compartment modules of the EXPECT model. The EXPECT model is a tool for scenario development of environmental policy plans. It covers the pathway of environmental pollutants from emissions to effects on biotic and abiotic receptor systems. The GRRR model computes the transport of solutes in the groundwater compartment by means of source-receptor relationships. These relationships are derived with the National Groundwater Model (LGM) developed at LBG, RIVM. This approach results in a fast calculating model which produces results in an aggregated format. Example results illustrate the way the model works. Based on three fictious scenarios, nitrogen contents have been computed in shallow and deep groundwater layers. The conclusion was made that the model is suited to perform scenario analyses, but for extreme scenarios or for detailled calculations a research model like LGM is better suited.<br>
Affiliation:
MTV; CWM; LBG
Publisher:
Rijksinstituut voor Volksgezondheid en Milieu RIVM
Issue Date:
31-Jul-1994
Additional Links:
http://www.rivm.nl/bibliotheek/rapporten/259102011.html
Type:
Onderzoeksrapport
Language:
en
Sponsors:
RIVM; DGM/SP
Appears in Collections:
RIVM official reports

Full metadata record

DC FieldValue Language
dc.contributor.authorMeijers R-
dc.contributor.authorSauter FJ-
dc.contributor.authorVeling EJM-
dc.contributor.authorvan Grinsven JJM-
dc.contributor.authorLeijnse A-
dc.contributor.authorUffink GJM-
dc.date.accessioned2013-06-13T22:47:31-
dc.date.issued1994-07-31-
dc.identifier259102011-
dc.description.abstractIn this report the design and first test results are presented of the EXPECT groundwater module for transport of solutes GRRR (GRoundwater source Receptor Relationships). This model is one of the abiotic compartment modules of the EXPECT model. The EXPECT model is a tool for scenario development of environmental policy plans. It covers the pathway of environmental pollutants from emissions to effects on biotic and abiotic receptor systems. The GRRR model computes the transport of solutes in the groundwater compartment by means of source-receptor relationships. These relationships are derived with the National Groundwater Model (LGM) developed at LBG, RIVM. This approach results in a fast calculating model which produces results in an aggregated format. Example results illustrate the way the model works. Based on three fictious scenarios, nitrogen contents have been computed in shallow and deep groundwater layers. The conclusion was made that the model is suited to perform scenario analyses, but for extreme scenarios or for detailled calculations a research model like LGM is better suited.<br>en
dc.description.sponsorshipRIVM-
dc.description.sponsorshipDGM/SP-
dc.format.extent40 p-
dc.language.isoen-
dc.publisherRijksinstituut voor Volksgezondheid en Milieu RIVM-
dc.relation.ispartofRIVM Rapport 259102011-
dc.relation.urlhttp://www.rivm.nl/bibliotheek/rapporten/259102011.html-
dc.subject05nl
dc.subjectwiskundig modelnl
dc.subjectgrondwaternl
dc.subjectverontreinigingnl
dc.subjecttransportnl
dc.subjectemissienl
dc.subjectbronnennl
dc.subjectmodellingen
dc.subjectgroundwateren
dc.subjectpollutionen
dc.subjecttransport processesen
dc.subjectemissionen
dc.subjectsourcesen
dc.subjectsolutesen
dc.subjectsource-receptor-modelen
dc.subjectmodel-simplificationen
dc.subjectstoftransporten
dc.titleGRRR. The EXPECT groundwater model for transport of solutesen
dc.title.alternative[GRRR. Het EXPECT grondwater model voor stofstransport.]nl
dc.typeOnderzoeksrapport-
dc.contributor.departmentMTV-
dc.contributor.departmentCWM-
dc.contributor.departmentLBG-
dc.date.updated2013-06-13T20:47:32Z-
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