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@ARTICLE{Gueting:203161,
author = {Gueting, Nils and Klotzsche, Anja and van der Kruk, Jan and
Vanderborght, Jan and Vereecken, Harry and Englert, Andreas},
title = {{I}maging and characterization of facies heterogeneity in
an alluvial aquifer using {GPR} full-waveform inversion and
cone penetration tests},
journal = {Journal of hydrology},
volume = {524},
issn = {0022-1694},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2015-05166},
pages = {680 - 695},
year = {2015},
abstract = {Spatially highly resolved mapping of aquifer
heterogeneities is critical for the accurate prediction of
groundwater flow and contaminant transport. Here, we
demonstrate the value of using full-waveform inversion of
crosshole ground penetrating radar (GPR) data for aquifer
characterization. We analyze field data from the Krauthausen
test site, where crosshole GPR data were acquired along a
transect of 20 m length and 10 m depth. Densely spaced cone
penetration tests (CPT), located close to the GPR transect,
were used to validate and interpret the tomographic images
obtained from GPR. A strong correlation was observed between
CPT porosity logs and porosity estimates derived from GPR
using the Complex Refractive Index Model (CRIM). A less
pronounced correlation was observed between electrical
conductivity data derived from GPR and CPT. Cluster analysis
of the GPR data defined three different subsurface facies,
which were found to correspond to sediments with different
grain size and porosity. In conclusion, our study suggests
that full-waveform inversion of crosshole GPR data followed
by cluster analysis is an applicable approach to identify
hydrogeological facies in alluvial aquifers and to map their
architecture and connectivity. Such facies maps provide
valuable information about the subsurface heterogeneity and
can be used to construct geologically realistic subsurface
models for numerical flow and transport prediction.},
cin = {IBG-3},
ddc = {690},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000354503300052},
doi = {10.1016/j.jhydrol.2015.03.030},
url = {https://juser.fz-juelich.de/record/203161},
}