Sequential and coupled inversion of horizontal borehole ground penetrating radar data to estimate soil hydraulic properties at the field scale

Yu, Yi; Weihermüller, Lutz; Klotzsche, Anja; Lärm, Lena; Vereecken, Harry; Huisman, Johan Alexander

doi:10.1016/j.jhydrol.2021.126010

Cited by 19 publications

(11 citation statements)

References 91 publications

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Section: Introductionmentioning

confidence: 99%

“…In the first method, collected geophysical data are inverted separately from hydrologic model simulations, converted to hydrologic state variables using petrophysical relationships, and then used as calibration targets for the hydrologic model. This procedure has been referred to as Level 1 data fusion (Yeh & Šimůnek, 2002), sequential inversion (Yu et al., 2021), or left unnamed (Doetsch et al., 2012; Farmani et al., 2008; Kemna et al., 2002; Vanderborght et al., 2005), but recently has most often been referred to as uncoupled hydrogeophysical inversion (Beaujean et al., 2014; Camporese et al., 2015; Claes et al., 2020; González‐Quirós & Comte, 2021; Hinnell et al., 2010; Irving & Singha, 2010). In the second method, predicted state variables of hydrologic models are transformed into geophysical variables with petrophysical relationships and are then used in forward geophysical simulations to predict a geophysical response.…”

Section: Introductionmentioning

confidence: 99%

“…Coupled hydrogeophysical inversion has been argued to provide better hydraulic parameter estimation than uncoupled hydrogeophysical inversion since the resultant parameters of coupled inversions are constrained by a physical model unlike those from uncoupled inversions (Camporese et al, 2015;Hinnell et al, 2010;Yu et al, 2021). However, Hinnell et al (2010) already pointed out that the improved hydraulic parameter estimates of coupled hydrogeophysical inversion are dependent on the accuracy of the hydrologic model conceptualization.…”

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confidence: 99%

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Hydrogeophysical Inversion of Time‐Lapse ERT Data to Determine Hillslope Subsurface Hydraulic Properties

Pleasants

Neves

Parsekian

et al. 2022

Water Resources Research

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As geophysical data allow for the monitoring of hydrological processes at relatively fine spatial resolutions, these data can help identify otherwise poorly constrained hydraulic parameters within hydrologic models. For example, Binley et al. ( 2002) constrained the saturated hydraulic conductivity value of one layer in a three-layer subsurface flow model by calculating the first and second spatial moments of the change in water content from petrophysically transformed resistivity and radar data. Many studies have since extended the usefulness of geophysical data to, for example, calibrate hydrologic models of salt water intrusion (e.g.,

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Hydrogeophysical Inversion of Time‐Lapse ERT Data to Determine Hillslope Subsurface Hydraulic Properties

Pleasants

Neves

Parsekian

et al. 2022

Water Resources Research

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“…Geolectrical inversion has known issues, typically due to the non-uniqueness of the solution in addition to incomplete or imperfect data due to practical limitations in collecting them. Advantages and drawbacks (structural errors in the hydrological conceptual model, dependency on known petrophysical relationships) of coupled inversions have been discussed by many authors (e.g., Hinnell et al, 2010;Camporese et al, 2015a;Slater and Binley, 2021;Yu et al, 2021). An emerging method for combining model predictions with observations is provided by the DA framework.…”

Section: Degree Of Integration Between Data and Modelmentioning

confidence: 99%

Combining Models of Root-Zone Hydrology and Geoelectrical Measurements: Recent Advances and Future Prospects

et al. 2021

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Recent advances in measuring and modeling root water uptake along with refined electrical petrophysical models may help fill the existing gap in hydrological root model parametrization. In this paper, we discuss the choices to be made to combine root-zone hydrology and geoelectrical data with the aim of characterizing the active root zone. For each model and observation type we discuss sources of uncertainty and how they are commonly addressed in a stochastic inversion framework. We point out different degrees of integration in the existing hydrogeophysical approaches to parametrize models of root-zone hydrology. This paper aims at giving emphasis to stochastic approaches, in particular to Data Assimilation (DA) schemes, that are generally identified as the best way to combine geoelectrical data with Root Water Uptake (RWU) models. In addition, the study points out a more suitable objective function taken from the optimal transport theory that better captures complex geometry of root systems. Another pathway for improvement of geoelectrical data integration into RWU models using DA relies on the use of stem based methods as a leverage to introduce more extensive root knowledge into RWU macroscopic hydrological models.

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“…Ground penetrating radar (GPR) technology is an active remote sensing(ARS) method that uses high-frequency(1MHz-3GHz) electromagnetic waves to detect the internal structure of media. After long-term development, it has been applied in many aspects, such as traffic construction and maintenance, water conservancy project detection, urban construction, disaster geological monitoring, environmental research, agricultural geological research and geological structure detection [1][2][3][4][5]. GPR uses a high-frequency electromagnetic wave as the remote sensing carrier, which brings high resolution [6][7][8], but it also has Disclaimer/Publisher's Note: The statements, opinions, and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s).…”

Section: Introductionmentioning

confidence: 99%

Analysis and Simulation on a Sequential Rotationally Excited Circularly Polarized Multi-Dipole Antennas Array for Separated GPR in Active Remote Sensing of Deep Earth

Fan¹,

Zhang²,

Tian³

et al. 2022

Preprint

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As an effective active remote sensing (ARS) technology for shallow underground targets, ground penetrating radar (GPR) is a detection method to obtain the characteristic information of underground targets by transmitting electromagnetic wave from the antenna and analyzing the propagation law of the electromagnetic wave underground. Due to the high frequency(1MHz-3GHz) of GPR, the depth of geological exploration is shallow(0.1m-30m). In order to remote sensing the deep earth, it is necessary to increase the size of the radiation source in order to reduce the radiation frequency. At the same time, for most separated GPRs, a single dipole antenna (SD) is used as the radiation source and another antenna device placed along the electromagnetic wave propagation direction in the far field as a remote sensing sensor (RSS), both of which are horizontally linearly polarized (LP) antennas. In some cases, such a design is apt to cause problems such as multipath effect (ME) and polarization mismatch (PM). When GPR in ARS of deep earth is performed, it often results in increased errors, signal attenuation during data reception and processing. In contrast, at the radiation source, with the use of large aperture multiple-dipole antennas (MD) and multi-channel sequential rotational excitation, the electromagnetic wave can radiate outward in the form of circular polarization at a low frequency. At the RSS, the trouble caused by ME and PM can be reduced even if the LP antennas are used. A novel sequential rotationally excited (SRE) circularly polarized (CP) MD array for separated GPR in ARS of deep earth is proposed in this paper, which uses a large aperture CP MD array instead of a small size LP SD. The analysis and simulation results demonstrate that under the premise of the same transmitting power, comparing circular polarization and linear polarization, by using SRE CP MD antennas array radiation source, a significant enhancement (about 7dB) of the Signal to Noise Ratio (SNR) will occur by collecting the radiant energy at the RSS. More importantly, by reducing the exploration frequency to 10KHz, the exploration depth will also be greatly increased by about 10 times.

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Sequential and coupled inversion of horizontal borehole ground penetrating radar data to estimate soil hydraulic properties at the field scale

Cited by 19 publications

References 91 publications

Hydrogeophysical Inversion of Time‐Lapse ERT Data to Determine Hillslope Subsurface Hydraulic Properties

Hydrogeophysical Inversion of Time‐Lapse ERT Data to Determine Hillslope Subsurface Hydraulic Properties

Combining Models of Root-Zone Hydrology and Geoelectrical Measurements: Recent Advances and Future Prospects

Analysis and Simulation on a Sequential Rotationally Excited Circularly Polarized Multi-Dipole Antennas Array for Separated GPR in Active Remote Sensing of Deep Earth

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