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| Titel |
Coupled hydrogeophysical parameter estimation using a sequential Bayesian approach |
| VerfasserIn |
J. Rings, J. A. Huisman, H. Vereecken |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 14, no. 3 ; Nr. 14, no. 3 (2010-03-18), S.545-556 |
| Datensatznummer |
250012228
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| Publikation (Nr.) |
 copernicus.org/hess-14-545-2010.pdf |
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| Zusammenfassung |
| Coupled hydrogeophysical methods infer hydrological and petrophysical
parameters directly from geophysical measurements. Widespread methods do not
explicitly recognize uncertainty in parameter estimates. Therefore, we apply
a sequential Bayesian framework that provides updates of state, parameters and
their uncertainty whenever measurements become available. We have coupled
a hydrological and an electrical resistivity tomography (ERT) forward code in
a particle filtering framework. First, we analyze a synthetic data set of
lysimeter infiltration monitored with ERT. In a second step, we apply the
approach to field data measured during an infiltration event on a full-scale
dike model. For the synthetic data, the water content distribution and the
hydraulic conductivity are accurately estimated after a few time steps. For
the field data, hydraulic parameters are successfully estimated from water
content measurements made with spatial time domain reflectometry and ERT, and
the development of their posterior distributions is shown. |
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