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| Titel |
Application of Sequential Gaussian and transition probability-based geostatistical simulations for the interpretation of a tracer test at the Lauswiesen site, Germany |
| VerfasserIn |
M. Riva, L. Guadagnini, D. Fernandez-Garcia, X. Sanchez-Vila, A. Guadagnini |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250031308
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| Zusammenfassung |
| We analyze the results of a tracer test that has been performed at the "Lauswiesen" site
(Germany). Sodium Bromide is injected into a well located 52 m from a pumping well.
Multilevel breakthrough curves (BTCs) are measured in the latter. We explore the relative
importance of selecting (a) different conceptual models of the (geostatistical) structure of
aquifer heterogeneities and (b) different mechanisms governing transport on our ability to
describe the tracer experiment. Flow and transport are tackled within a stochastic Monte
Carlo framework to describe key features of the depth-averaged experimental breakthrough
curves observed at the pumping well. Two geostatistical simulation methods, sequential
Gaussian simulation and transition probability indicator simulation were applied
to create conditional realizations of geomaterials distributions within the alluvial
Lauswiesen aquifer. The simulated hydraulic conductivity fields were then used in a
numerical model to simulate the depth averaged measured breakthrough curve. Our
modeling effort shows that accounting for both the spatial variation of hydraulic
conductivity and porosity is important to be able to generate alternative equally
likely realizations of the system that are consistent with the main characteristics of
the observed BTC. Results obtained by the two tested geostatistical simulation
methods are not visibly different (in an ensemble sense) for the scenario analyzed. |
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