Soil hydraulic material properties and layered architecture from time-lapse GPR

Jaumann, Stefan; Roth, Kurt

doi:10.5194/hess-22-2551-2018

Cited by 18 publications

(10 citation statements)

References 45 publications

(75 reference statements)

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“…Furthermore, the temporal variability of the soil water content can be characterized from time-lapse measurements. For instance, GPR data can be collected during artificial experiments (e.g., infiltration, runoff, drainage, imbibition) that can provide interesting information on the flow characteristics (e.g., Saintenoy et al, 2008;Moysey, 2010;Scholer et al, 2011;Busch et al, 2013;Jonard et al, 2015;Jaumann and Roth, 2018;Léger et al, 2014;2020). Note however that the hydraulic properties estimated from GPR data are subject to an inherent compromise between a deep investigation and a fine spatial resolution.…”

Section: Introductionmentioning

confidence: 99%

On the interest of ground penetrating radar data for the estimation of unsaturated soil parameters

Moua

Lesparre²,

Girard³

et al. 2022

Preprint

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Abstract. In this study, the interest of ground penetrating radar (GPR) time-lapse measurements for the estimation of hydrodynamic unsaturated soil parameters is investigated using synthetic infiltration experiments. Water movement and electromagnetic wave propagation in the unsaturated zone are modeled using a one-dimensional hydrogeophysical model. The GPR travel time data are analyzed for different reflectors: a moving reflector (the infiltration wetting front) and three fixed reflectors located at different depths in the soil. Global sensitivity analysis (GSA) is employed to assess the influence of the saturated hydraulic conductivity, the saturated and residual water contents, and the Mualem–van Genuchten shape parameters α and n of the soil on the GPR travel time data of the reflectors. Statistical calibration of the soil parameters is then performed using the Markov chain Monte Carlo (MCMC) method. The impact of the type of reflector (moving or fixed) is then evaluated by analyzing the calibrated model parameters and their confidence intervals for different scenarios. GSA results show that the sensitivities of the moving and fixed reflectors data to the hydrodynamic soil parameters are different whereas the fixed reflectors have similar sensitivities. Results of parameter estimation show that the use of only data from the moving or fixed reflectors does not allow a good identification of all soil parameters. When both data are combined, all soil parameters can be well estimated with narrow confidence intervals.

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Section: Introductionmentioning

confidence: 99%

On the interest of ground penetrating radar data for the estimation of unsaturated soil parameters

Moua

Lesparre²,

Girard³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…One approach is the coupled inverse modeling of hydrological processes and GPR measurements. The model for the simulation of the propagation of the electromagnetic wave in the soils is computationally expensive but necessary for full waveform inversion (e.g., Lambot et al, 2009;Busch et al, 2012;Jadoon et al, 2012) or other evaluation approaches (e.g., Buchner et al, 2012;Jaumann and Roth, 2018). The other approach directly uses the evaluated soil water content and depth from GPR measurements in the inverse hydrological modeling, similar to the above-mentioned 1-D inversion using point observations, e.g., time-domain reflectometer (TDR) measurements.…”

Section: Introductionmentioning

confidence: 99%

Efficient estimation of effective hydraulic properties of stratal undulating surface layer using time-lapse multi-channel GPR

Xiong

Jaumann

Zhang

et al. 2019

Hydrol. Earth Syst. Sci.

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Abstract. Multi-scale soil architectures in shallow subsurface are widespread in natural and anthropogenic depositional environments, and acquisition of the surface stratal structure and hydrological properties are essential in quantifying water cycling. Geophysical methods like ground-penetrating radar (GPR) can provide quantitative information like soil architecture and spatiotemporal soil water content distribution for the shallow layer. Concerning the informative multi-dimensional water flow in the surface layer with an undulating bottom at the plot scale, this study assesses the feasibility of efficiently estimating soil hydraulic properties using a few time-lapse multi-channel GPR observations, namely soil water storage and layer thickness of the surface layer, at reclamation land near an old river channel. We show that effective hydraulic properties of the surface layer can be obtained with a small number of time-lapse GPR measurements during a rainfall event. Additionally, we analyze the effect of some key factors controlling the informative lateral water redistribution on the results of the proposed approach using synthetic simulations.

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“…One approach is the coupled inverse modeling of hydrological processes and GPR measurements. The model for the simulation of the propagation of the electromagnetic wave in the soils is computationally expensive but necessary for full waveform inversion (e.g., Lambot et al, 2009;Busch et al, 2012;Jadoon et al, 2012) or other evaluation approaches (e.g., Buchner et al, 2012;Jaumann & Roth, 2018). The other approach is directly using the evaluated soil water content and depth from GPR measurements in the inverse hydrological modeling, similar to the above mentioned 1D inversion using point observations, e.g., TDR measurements.…”

Section: Introductionmentioning

confidence: 99%

Efficient estimation of effective hydraulic properties of stratal undulating surface layer using time-lapse multi-channel GPR

Pan¹,

Jaumann²,

Zhang³

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract. Multi-scale soil architectures in shallow subsurface are widespread in natural and anthropogenic depositional environments, acquisition of the surface stratal structure and hydrological properties are essential to quantify water cycling. Geophysical methods like Ground-Penetrating Radar (GPR) can provide quantitative information like soil architecture and spatiotemporal soil water content distribution for the shallow layer. Concerning the informative multi-dimensional water flow in the surface layer with an undulating bottom at plot scale, this study assesses the feasibility of efficiently estimating soil hydraulic properties using a few time-lapse multi-channel GPR observations, namely soil water storage and layer thickness of the surface layer at a reclamation land near an old river channel. We show that effective hydraulic properties of the surface layer can be obtained with a small number of time-lapse GPR measurements during a rainfall event. Additionally, we analyze the effect of some key factors controlling the informative lateral water redistribution on the results of the proposed approach using synthetic simulations.

show abstract

Soil hydraulic material properties and layered architecture from time-lapse GPR

Cited by 18 publications

References 45 publications

On the interest of ground penetrating radar data for the estimation of unsaturated soil parameters

On the interest of ground penetrating radar data for the estimation of unsaturated soil parameters

Efficient estimation of effective hydraulic properties of stratal undulating surface layer using time-lapse multi-channel GPR

Efficient estimation of effective hydraulic properties of stratal undulating surface layer using time-lapse multi-channel GPR

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