 |
| Titel |
Estimation of soil hydraulic properties based on time-lapse Ground-Penetrating Radar (GPR) measurements |
| VerfasserIn |
Stefan Jaumann, Patrick Klenk, Kurt Roth |
| Konferenz |
EGU General Assembly 2015
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250111121
|
| Publikation (Nr.) |
 EGU/EGU2015-11197.pdf |
|
|
|
|
|
| Zusammenfassung |
| Recent developments brought surface-based GPR measurements to a precision that make
them useful for estimating soil hydraulic properties.
For this study, we estimate Mualem-Brooks-Corey parameters for a layered subsurface
material distribution employing the Levenberg-Marquardt inversion algorithm. The required
measurement data were recorded at our artificial test site ASSESS, where we forced the
hydraulic system with a fluctuating water table and observed the dynamic deformation of the
capillary fringe with time-lapse GPR. Subsequently, these measurements were simulated
based on a model comprising (i) the Richards equation describing the temporal evolution of
the soil hydraulic system which was solved with MUPHI, (ii) the Complex Refractive Index
Model (CRIM) serving as petrophysical relationship which links the soil hydraulic model to
(iii) the electrodynamic model consisting of Maxwell’s equations which are solved with
MEEP. For the objective function of the optimization algorithm, both measured and
simulated GPR data were evaluated with a semi-automated wavelet feature detection
algorithm allowing to directly compare the travel time and amplitude of the GPR
signal.
In this presentation, we discuss the results of the inversion based on the inversion of GPR
data and we also discuss how including Time Domain Reflectometry (TDR) measurement
data influences the estimated parameters. |
|
|
|
|
|
|