Resolving precipitation induced water content profiles by inversion of dispersive GPR data: A numerical study

Mangel, Adam R.; Moysey, S. M.; Kruk, Jan van der

doi:10.1016/j.jhydrol.2015.04.011

Cited by 15 publications

(24 citation statements)

References 31 publications

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“…In this study, the depth was limited to 0.2 m given the limitation that we expected dispersion to occur only when the wetting front was shallower than the 0.10-m depth. Mangel et al (2015b) illustrated through a sensitivity analysis that the dispersion of the GPR waves was not sensitive to changes in water content below this depth, i.e., 2 ´ wavelength. The inversion uses an adapted cost function:…”

Section: Ground-penetrating Radar Data Processing and Inversion Methodsmentioning

confidence: 97%

“…1f). The shape and number of dispersion curves, i.e., dispersive modes, that occur are dependent on the permittivity and thickness of the waveguide layer as well as the distribution of water within these layers (Bakker et al, 2011;Mangel et al, 2015b;van der Kruk et al, 2010). Van der Kruk et al (2010) showed that the information captured by GPR dispersion curves can be used to estimate the water content within a layered model of the subsurface, i.e., where the waveguide represents a uniform zone of infiltrating water overlying an initially dry soil.…”

Section: P 2 Of 11mentioning

confidence: 99%

“…A layered model is not necessarily the best representation of a wetting front, however, because the water content at the wetting front will vary with depth due to capillary effects. In a numerical study, Mangel et al (2015b) showed that inversion of dispersive GPR data assuming a layered structure (i.e., a wetting front layer overlying a dry layer) results in estimates of water content that represent an average of the variability within each layer. That study also showed that dispersive GPR data contain sufficient information to constrain a piecewise-linear model for velocity variations with depth that better reproduces the variability in water content associated with the wetting front than a two-layer model.…”

Section: P 2 Of 11mentioning

confidence: 99%

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Resolving Infiltration‐Induced Water Content Profiles by Inversion of Dispersive Ground‐Penetrating Radar Data

Mangel

Moysey

Kruk

2017

Vadose Zone Journal

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Ground-penetrating radar (GPR) data were collected before, during, and after a 24-min-long forced infiltration event in a large sand tank. High spatial and temporal resolution were achieved by automation of the radar system, thereby allowing these data to be collected during the course of the experiment while continuously changing the distance between the antennas through offsets ranging between 0.17 and 2.17 m. These multi-offset data showed evidence of a phenomenon known as waveguide dispersion during early infiltration times (5-10 min), indicating that a shallow layer of high water content was present. The GPR data exhibiting this dispersive behavior were used to fit water content profiles for the wetting front, i.e., the waveguide, with time using either a blocky-layer model or a piecewise linear function. Results from the separate inversions showed good agreement with in situ soil moisture measurements and a calibrated unsaturated flow model. The piecewise linear model, however, was able to honor the gradational nature of the hydrologically induced waveguide and was in better agreement with the observed soil moisture data. Furthermore, the piecewise linear model returned a water content profile that showed a consistent progression of the wetting front with time, whereas a less consistent progression of the wetting front was observed for the blocky-layer model. Citation: Mangel, A.R., S.M.J. Moysey, and J. van der Kruk. Resolving infiltration-induced water content profiles by inversion of dispersive ground-penetrating radar data. Vadose Zone J. 16(10).

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Section: Ground-penetrating Radar Data Processing and Inversion Methodsmentioning

confidence: 97%

Section: P 2 Of 11mentioning

confidence: 99%

Section: P 2 Of 11mentioning

confidence: 99%

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Resolving Infiltration‐Induced Water Content Profiles by Inversion of Dispersive Ground‐Penetrating Radar Data

Mangel

Moysey

Kruk

2017

Vadose Zone Journal

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“…Estimation of specific soil parameters (e.g., moisture and clay content) have also been addressed in [65]. Moreover, in [12], [66], [67] inversion approaches have been employed for determining ground water contents in hydrological applications.…”

Section: Soil Properties Estimationmentioning

confidence: 99%

Advanced Inversion Techniques for Ground Penetrating Radar

Fedeli¹,

Pastorino²,

Randazzo³

2017

JTIT

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Abstract-Ground Penetrating Radar (GPR) systems are nowadays standard inspection tools in several application areas, such as subsurface prospecting, civil engineering and cultural heritage monitoring. Usually, the raw output of GPR is provided as a B-scan, which has to be further processed in order to extract the needed information about the inspected scene. In this framework, inverse-scattering-based approaches are gaining an ever-increasing interest, thanks to their capabilities of directly providing images of the physical and dielectric properties of the investigated areas. In this paper, some advances in the development of such inversion techniques in the GPR field are revised and discussed.

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“…The process of infiltration in soils and the instability of wetting fronts has been studied primarily in two-dimensional tanks where it is possible to image the generation of a two-dimensional fingered flow (e.g., Bauters et al, 2000a;DiCarlo, 2004;Glass et al, 1989a, c, d, Selker et al, 1992aJ. S. Selker et al, 1992), and more recently using geo-electrical imaging (Ganz et al, 2014;Liu and Moysey, 2012) and ground-penetrating radar (Mangel et al, 2012(Mangel et al, , 2015. Laboratory experiments designed to examine the infiltration process in homogeneous porous media have confirmed the ubiquitous formation of fingered flow (Bauters et al, 2000b;Glass et al, 1989d;Selker et al, 1992a;Wang et al, 2003bWang et al, , 2004.…”

Section: Introductionmentioning

confidence: 99%

Preferential flow systems amended with biogeochemical components: imaging of a two-dimensional study

Pales

Clifford

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. The vadose zone is a highly interactive heterogeneous system through which water enters the subsurface system by infiltration. This paper details the effects of simulated plant exudate and soil component solutions upon unstable flow patterns in a porous medium (ASTM silica sand; US Silica, Ottawa, IL, USA) through the use of two-dimensional tank light transmission method (LTM). The contact angle (θ ) and surface tension (γ ) of two simulated plant exudate solutions (i.e., oxalate and citrate) and two soil component solutions (i.e., tannic acid and Suwannee River natural organic matter, SRNOM) were analyzed to determine the liquidgas and liquid-solid interface characteristics of each. To determine if the unstable flow formations were dependent on the type and concentration of the simulated plant exudates and soil components, the analysis of the effects of the simulated plant exudate and soil component solutions were compared to a control solution (Hoagland nutrient solution with 0.01 M NaCl). Fingering flow patterns, vertical and horizontal water saturation profiles, water saturation at the fingertips, finger dimensions and velocity, and number of fingers were obtained using the light transmission method. Significant differences in the interface properties indicated a decrease between the control and the plant exudate and soil component solutions tested; specifically, the control (θ = 64.5 • and γ = 75.75 mN m −1 ) samples exhibited a higher contact angle and surface tension than the low concentration of citrate (θ = 52.6 • and γ = 70.8 mN m −1 ). Wetting front instability and fingering flow phenomena were reported in all infiltration experiments. The results showed that the plant exudates and soil components influenced the soil infiltration as differences in finger geometries, velocities, and water saturation profiles were detected when compared to the control. Among the tested solutions and concentrations of soil components, the largest finger width (10.19 cm) was generated by the lowest tannic acid solution concentration (0.1 mg L −1 ), and the lowest finger width (6.00 cm) was induced by the highest SRNOM concentration (10 mg L −1 ). Similarly, for the plant exudate solutions, the largest finger width (8.36 cm) was generated by the lowest oxalate solution concentration (0.1 mg L −1 ), and the lowest finger width (6.63 cm) was induced by the lowest citrate concentration (0.1 mg L −1 ). The control solution produced fingers with average width of 8.30 cm. Additionally, the wettability of the medium for the citrate, oxalate, and SRNOM solutions increased with an increase in concentration. Our research demonstrates that the plant exudates and soil components which are biochemical compounds produced and released in soil are capable of influencing the process of infiltration in soils. The results of this research also indicate that soil wettability, expressed as (cos θ )

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Resolving precipitation induced water content profiles by inversion of dispersive GPR data: A numerical study

Cited by 15 publications

References 31 publications

Resolving Infiltration‐Induced Water Content Profiles by Inversion of Dispersive Ground‐Penetrating Radar Data

Resolving Infiltration‐Induced Water Content Profiles by Inversion of Dispersive Ground‐Penetrating Radar Data

Advanced Inversion Techniques for Ground Penetrating Radar

Preferential flow systems amended with biogeochemical components: imaging of a two-dimensional study

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