This title appears in the Scientific Report :
2010
Please use the identifier:
http://dx.doi.org/10.5194/hess-14-545-2010 in citations.
Coupled hydrogeophysical parameter estimation using a sequential Bayesian approach
Coupled hydrogeophysical parameter estimation using a sequential Bayesian approach
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 a...
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Personal Name(s): | Rings, J. |
---|---|
Huisman, J. A. / Vereecken, H. | |
Contributing Institute: |
Agrosphäre; ICG-4 JARA - HPC; JARA-HPC JARA-ENERGY; JARA-ENERGY |
Published in: | Hydrology and earth system sciences, 14 (2010) S. 545 - 556 |
Imprint: |
Katlenburg-Lindau
EGU
2010
|
Physical Description: |
545 - 556 |
DOI: |
10.5194/hess-14-545-2010 |
Document Type: |
Journal Article |
Research Program: |
Terrestrische Umwelt |
Series Title: |
Hydrology and Earth System Sciences
14 |
Subject (ZB): | |
Publikationsportal JuSER |
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. |