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@ARTICLE{Klotzsche:155660,
author = {Klotzsche, Anja and van der Kruk, Jan and Bradford, John
and Vereecken, Harry},
title = {{D}etection of spatially limited high-porosity layers using
crosshole {GPR} signal analysis and full-waveform inversion},
journal = {Water resources research},
volume = {50},
number = {8},
issn = {0043-1397},
address = {Washington, DC},
publisher = {AGU},
reportid = {FZJ-2014-04713},
pages = {6966–6985},
year = {2014},
abstract = {High-permittivity layers, related to high-porosity layers
or impermeable clay lenses, can act as low-velocity
electromagnetic waveguides. Electromagnetic wave phenomena
associated with these features are complicated, not well
known and not easy to interpret in borehole GPR data.
Recently, a novel amplitude analysis approach was developed
that is able to detect continuous low-velocity waveguides
and their boundaries between boreholes by using maximum and
minimum positions of the trace energy profiles in measured
GPR data. By analyzing waveguide models of different
thickness, dip, extent, permittivity, and conductivity
parameters, we extend the amplitude analysis to detect
spatially limited or terminated waveguides. Waveguides that
show high-amplitude elongated wave trains are most probably
caused by a change in porosity rather than a change in clay
content. In a crosshole GPR data set from the Boise
Hydrogeophysical Research Site, two terminated wave-guiding
structures were detected using the extended amplitude
analysis. Information gained from the amplitude analysis
improved the starting model for full-waveform inversion
which imaged the lateral extent and thickness of terminated
waveguides with high resolution. Synthetic data calculated
using the inverted permittivity and conductivity models show
similar amplitudes and phases, as observed in the measured
data, which indicates the reliability of the obtained
models. Neutron-Neutron logging data from three boreholes
confirm the changes in porosity and indicate that these
layers were high-porosity sand units within low-porosity,
poorly sorted sand, and gravel units.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {246 - Modelling and Monitoring Terrestrial Systems: Methods
and Technologies (POF2-246) / 255 - Terrestrial Systems:
From Observation to Prediction (POF3-255)},
pid = {G:(DE-HGF)POF2-246 / G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000342632300041},
doi = {10.1002/2013WR015177},
url = {https://juser.fz-juelich.de/record/155660},
}