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@PHDTHESIS{vonHebel:828895,
author = {von Hebel, Christian},
title = {{C}alibration and large-scale inversion of
multi-configuration electromagnetic induction data for
vadose zone characterization},
volume = {361},
school = {RWTH Aachen},
type = {Dissertation},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
reportid = {FZJ-2017-02746},
isbn = {978-3-95806-210-8},
series = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
Umwelt / Energy $\&$ Environment},
pages = {ix, 123 S.},
year = {2017},
note = {RWTH Aachen, Diss., 2016},
abstract = {Frequency-domain electromagnetic induction (EMI) devices
measure a secondary magnetic field superimposed by the
transmitted primary magnetic field in current conducting
media. Commercially available systems convert this magnetic
field ratio into an apparent electrical conductivity (ECa),
not concretely stated but probably with a linear
approximation assuming low induction numbers (LIN). In the
LIN-based conversion, errors were observed between the true
ground electrical conductivity ($\sigma(z_{i}$)) and ECa
such that the present thesis introduces an improved
non-linear exact ECa conversion (EEC) approach that can be
used beyond the LIN approximation. Until recently, the EMI
method was used for qualitative data interpretations because
quantitative ECa values were often not obtained. For
example, the operator or the field setup generated
additional magnetic fields being measured by the EMI device
that shift the recorded ECa. To eliminate the shifts, a
post-calibration is required. Here, a cross-correlation
between measured and predicted EMI-ECa values resulted in
calibration parameters that were applied to the EMI data
such that quantitative ECa values were obtained. To predict
the EMI device specific ECa values, a Maxwell-based
electromagnetic forward model (EM-FM) used $\sigma(z_{i}$)
obtained from inverted electrical resistivity tomography
(ERT) or inverted vertical electrical sounding (VES) data.
Analyzing several post-calibrations based on ERT,
coefficients of determination of R$^{2}$ > 0.75 were
obtained when the data range along a calibration line
exceeded 3 mS/m and when the ground electrical conductivity
was larger than 5 mS/m. Using derived calibrations of
different test sites, universal calibration parameters were
obtained that allowed postcalibrations without an ERT
reference line. Combining the introduced EEC with the
modeling using the EM-FM that assumes horizontal layers in a
multi-layer inversion of the post-calibrated EMI data, no
errors were introduced anymore such that these methods can
be applied also for high electrical conductive, e.g., saline
areas, where the LIN approximation is no longer valid.
Large-scale EMI measurements often reflect relevant
subsurface patterns, but only few researchers have attempted
to resolve the vertical changes in electrical conductivity
[...]},
cin = {IBG-3},
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)3 / PUB:(DE-HGF)11},
url = {https://juser.fz-juelich.de/record/828895},
}