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@ARTICLE{Altdorff:172405,
author = {Altdorff, Daniel and Dietrich, Peter},
title = {{D}elineation of areas with different temporal behavior of
soilproperties at a landslide affected {A}lpine hillside
using time-lapseelectromagnetic data},
journal = {Environmental earth sciences},
volume = {72},
number = {5},
issn = {1866-6280},
address = {Berlin},
publisher = {Springer},
reportid = {FZJ-2014-05885},
pages = {1357-1366},
year = {2014},
abstract = {Landslide activity is largely controlled bychanges in soil
properties, particularly soil moisture and thecorresponding
changes in pore pressure within the vadosezone. While
knowledge of changes in soil conditions is ofutmost
importance for the prediction of landslides, it isdifficult
to obtain reliable information on the field scale.
Apossibility of filling that information gap is the
monitoringof changes in soil properties by time-lapse
electromagneticinduction (EMI) data. Given the relative
stability of soilproperties, changes in apparent electric
conductivity (ECa)are mainly related to changes in soil
water content and itsmineralization. Thus, we use time-lapse
ECa data over anine-month period from different
investigation depths(0.75, 1.5, 3, and 6 m) to separate
areas with differenttemporal behavior of soil properties.
However, workingwith time-lapse EMI data raised the
comparability problemsince the recoded ECa is also affected
by several dayspecificsurvey conditions (e.g., instrument
temperature,operator). Consequently, the reproducibility of
accurateECa measurements is difficult due to potential
dynamicshifts which hinders a direct comparing. We introduce
inthis study a straightforward method for comparability
ofECa values from different time steps by normalization
ofdata ranges assuming that the majority of shifts of
measureddata originate from field calibration. We identify
theintensity of spatial changes by means of the
standarddeviation (SD) as an indication for the intensity of
soilproperties variability. To obtain the temporal changes
andits progression over time, we separate the dynamic
signalfrom the background. A two-layer system could be
identified:one shallow more dynamic layer with an
east–westorientedstructure and a deeper, more stationary
layer witha north–south-oriented structure. The ECa
dynamics of theshallow layer is related to the altitude (R2
= 0.84) whilethe deeper dynamics follow a different regime.
Thedecreasing of ECa dynamics with depth was consistentwith
the decreasing of SWC dynamics observed by previousstudies.},
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:000341085400005},
doi = {10.1007/s12665-014-3240-7},
url = {https://juser.fz-juelich.de/record/172405},
}