Integrated hydrogeophysical inversion of time-lapse ground penetrating radar data to estimate soil hydraulic properties
(2010)
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- Authors
- Supervisors
- Lambot, Sébastien
- Abstract
- (en) Measurement of the soil hydraulic properties at the field scale remains a challenge in different research and engineering areas. The main goal of this thesis was to estimate the soil hydraulic properties from integrated hydrogeophysical, full-waveform inversion of time-lapse ground penetrating radar (GPR) data. The uniqueness and stability of the inverse solution were analyzed using numerical experiments for different textured soils, which demonstrated the theoretical feasibility of the proposed approach. In order to validate the integrated model in field conditions, a 200-2000 MHz horn antenna was modelled. We showed in particular that the antenna calibration procedure permits to inherently account for the phase centre position and its frequency dependence, thereby avoiding its physical determination. The radar system was mounted on a truck and measurements were collected along a field transect for the estimation of the surface water content. Good agreements were obtained compared to time domain reflectomerty (TDR). Observed differences were mainly attributed to the different characterization scales and local heterogeneities. Finally, a time-lapse experiment was conducted using both TDR and GPR for monitoring shallow water dynamics in a field for a 30-day period. The data were inverted using two different 1-D hydrological simulators, namely, TOUGH2 and HYDRUS, accounting for a single and dual porosity model, respectively. Good agreements were obtained with the reference hydraulic properties of undisturbed soil samples collected at the same location, especially using the dual-porosity model. These results constitute a step towards a promising way for non-invasive characterization of the shallow soil properties with a high spatial resolution at the field scale.
- Affiliations
Citations
Jadoon, K. Z. (2010). Integrated hydrogeophysical inversion of time-lapse ground penetrating radar data to estimate soil hydraulic properties. https://hdl.handle.net/2078.5/70982