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| Titel |
Interpolation of Steady-State Concentration Data by Inverse Modeling |
| VerfasserIn |
R. L. Schwede, O. A. Cirpka |
| 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 |
250020065
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| Zusammenfassung |
| In subsurface hydrology the estimation of total mass fluxes through a cross-sectional area and
its uncertainty is an essential quantity, because it is needed to quantify the effect of
natural attenuation or active remediation techniques. The available concentration
measurements are typically point-like measurements and they are sparsely distributed within
the domain of interest. The estimation of mass fluxes based on the small number
of available measurements makes interpolation techniques necessary. Standard
interpolation techniques are not suitable because the measurements are sparse, and
the unconditional probability density function (pdf ) of concentration is strongly
non-Gaussian.
A geostatistical method for the interpolation of steady-state concentration measurements
by inverse modeling will be presented. In the first step, the use of steady-state concentration
measurements in geostatistical inversion will be introduced. With this method we are able to
calculate hydraulic conductivity fields which are conditioned on steady-state concentration
measurements. In the second step, the interpolation method of steady-state concentrations is
presented, which uses the inverse modeling appoach.
The presented method is tested to computer generated hydraulic conductivity fields in
2-dimensional and 3-dimensional space. These fields are used as “true” reference field. |
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