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@ARTICLE{Kelter:279161,
author = {Kelter, M. and Huisman, J. A. and Zimmermann, Egon and
Kemna, A. and Vereecken, H.},
title = {{Q}uantitative imaging of spectral electrical properties of
variably saturated soil columns},
journal = {Journal of applied geophysics},
volume = {123},
issn = {0926-9851},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2015-07232},
pages = {333 - 344},
year = {2015},
abstract = {Measurements of the effective complex electrical
conductivity in the mHz to kHz frequency range using
Spectral Induced Polarization (SIP) have shown promise for
the characterization of soil physical and biogeochemical
properties and processes. In principle, the spatial
distribution of the complex electrical conductivity can be
determined using Electrical Impedance Tomography (EIT).
However, little is known about the accuracy of EIT imaging
results, which is known to be affected by the need for a
consistent treatment of variable data quality for different
frequencies in the inversion process. Therefore, we aim to
evaluate the ability of EIT to accurately determine the
distribution of spectral electrical conductivity in the mHz
to kHz frequency range. For this, we used artificially
packed lysimeter columns with known structure and spectral
electrical properties. EIT imaging of these columns was
performed during drainage in order to investigate data
quality and the accuracy of soil spectral electrical
property determination for different saturation and contact
impedances of the electrodes. Spectral imaging results were
analyzed using a Debye-decomposition approach and compared
with effective SIP measurements on independent samples of
the same material. Overall, there was a good correspondence
between imaged and independently measured complex electrical
conductivity. Furthermore, it was found that images of peak
relaxation time distribution were much less affected by
spatial smoothing than images of the normalized
chargeability. It was concluded that state-of-the-art data
processing and inversion procedures in combination with
advanced EIT equipment can be used to accurately image the
spatial distribution of spectral electrical properties.},
cin = {IBG-3 / ZEA-2},
ddc = {620},
cid = {I:(DE-Juel1)IBG-3-20101118 / I:(DE-Juel1)ZEA-2-20090406},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000366073400033},
doi = {10.1016/j.jappgeo.2015.09.001},
url = {https://juser.fz-juelich.de/record/279161},
}