Home > Publications database > Detection of Tracer Plumes Using Full‐Waveform Inversion of Time‐Lapse Ground Penetrating Radar Data: A Numerical Study in a High‐Resolution Aquifer Model > print

001     910302
005     20230227201806.0
024 7 _ |a 10.1029/2021WR030110
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024 7 _ |a 0043-1397
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024 7 _ |a 1944-7973
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037 _ _ |a FZJ-2022-03737
082 _ _ |a 550
100 1 _ |a Haruzi, P.
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245 _ _ |a Detection of Tracer Plumes Using Full‐Waveform Inversion of Time‐Lapse Ground Penetrating Radar Data: A Numerical Study in a High‐Resolution Aquifer Model
260 _ _ |a [New York]
|c 2022
|b Wiley
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520 _ _ |a Imaging subsurface small-scale features and monitoring transport of tracer plumes at a fine resolution is of interest to characterize transport processes in aquifers. Full-waveform inversion (FWI) of crosshole ground penetrating radar (GPR) measurements enables aquifer characterization at decimeter-scale resolution. The method produces images of both relative dielectric permittivity (εr) and bulk electrical conductivity (σb) that can be related to hydraulic aquifer properties and tracer distributions. To test the potential of time-lapse GPR FWI for imaging tracer plumes, we conducted a numerical tracer experiment by injecting saline water, desalinated water, and ethanol in a heterogeneous aquifer. The saline and desalinated tracers only changed σb, whereas ethanol changed both εr and σb. Tracer concentrations were retrieved from the inverted εr and σb models using information about petrophysical parameters. GPR FWI εr and σb tracer images could recover preferential paths of ∼0.2 m width, while the derived σb structures are smoother. FWI of 50 time-lapse data sets demonstrated the potential of the FWI to derive spatially resolved breakthrough curves of the saline and ethanol tracer in the image plane between the boreholes. Thus, high-resolution imaging with GPR FWI of tracers that produce a high permittivity contrast against the background has a great potential for characterization of heterogeneous transport in aquifers.
536 _ _ |a 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)
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700 1 _ |a Schmäck, J.
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700 1 _ |a Zhou, Z.
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700 1 _ |a van der Kruk, J.
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700 1 _ |a Vereecken, H.
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700 1 _ |a Vanderborght, J.
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700 1 _ |a Klotzsche, A.
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773 _ _ |a 10.1029/2021WR030110
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|t Water resources research
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|x 0043-1397
856 4 _ |u https://juser.fz-juelich.de/record/910302/files/Water%20Resources%20Research%20-%202022%20-%20Haruzi%20-%20Detection%20of%20Tracer%20Plumes%20Using%20Full%E2%80%90Waveform%20Inversion%20of%20Time%E2%80%90Lapse%20Ground.pdf
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