This title appears in the Scientific Report :
2009
Please use the identifier:
http://dx.doi.org/10.2136/vzj2008.0058 in citations.
Remote Estimation of the Hydraulic Properties of a Sand Using Full-Waveform Integrated Hydrogeophysical Inversion of Time-Lapse, Off-Ground GPR Data
Remote Estimation of the Hydraulic Properties of a Sand Using Full-Waveform Integrated Hydrogeophysical Inversion of Time-Lapse, Off-Ground GPR Data
We used integrated hydrogeophysical inversion of time-lapse, proximal ground penetrating radar (GPR) data to remotely the unsaturated soil hydraulic properties of a laboratory sand during an infiltration event. The inversion procedure involved full-waveform modeling of the radar signal and one-dimen...
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Personal Name(s): | Lambot, S. |
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Slob, E. C. / Rhebergen, J. / Lopera, O. / Jadoon, K. Z. / Vereecken, H. | |
Contributing Institute: |
Agrosphäre; ICG-4 JARA - HPC; JARA-HPC |
Published in: | Vadose zone journal, 8 (2009) S. 743 - 754 |
Imprint: |
Madison, Wis.
SSSA
2009
|
Physical Description: |
743 - 754 |
DOI: |
10.2136/vzj2008.0058 |
Document Type: |
Journal Article |
Research Program: |
Terrestrische Umwelt |
Series Title: |
Vadose Zone Journal
8 |
Subject (ZB): | |
Publikationsportal JuSER |
We used integrated hydrogeophysical inversion of time-lapse, proximal ground penetrating radar (GPR) data to remotely the unsaturated soil hydraulic properties of a laboratory sand during an infiltration event. The inversion procedure involved full-waveform modeling of the radar signal and one-dimensional, vertical flow modeling. We combined radar model with HYDRUS-1D. The radar system was set up using standard, handheld vector network analyzer Significant effects of water dynamics were observed on the time-lapse radar data. The estimated hydraulic were relatively consistent with direct characterization of undisturbed sand samples. Significant differences particularly observed for the saturated hydraulic conductivity, which was underestimated by two orders of magnitude. Nevertheless, the use of soil hydraulic parameters derived from reference measurements failed to correctly water dynamics, whereas GPR-based predictions captured some of the major features of time domain reflectometry measurements and better agreed with visual observations. These results suggest that the proposed method promising for noninvasive, effective hydraulic characterization of the shallow subsurface and hence, monitoring of dynamics at the field scale. |