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@ARTICLE{Haruzi:910302,
author = {Haruzi, P. and Schmäck, J. and Zhou, Z. and van der Kruk,
J. and Vereecken, H. and Vanderborght, J. and Klotzsche, A.},
title = {{D}etection of {T}racer {P}lumes {U}sing
{F}ull‐{W}aveform {I}nversion of {T}ime‐{L}apse {G}round
{P}enetrating {R}adar {D}ata: {A} {N}umerical {S}tudy in a
{H}igh‐{R}esolution {A}quifer {M}odel},
journal = {Water resources research},
volume = {58},
number = {5},
issn = {0043-1397},
address = {[New York]},
publisher = {Wiley},
reportid = {FZJ-2022-03737},
pages = {23},
year = {2022},
abstract = {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.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000796966400001},
doi = {10.1029/2021WR030110},
url = {https://juser.fz-juelich.de/record/910302},
}