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@ARTICLE{Altdorff:827237,
author = {Altdorff, Daniel and von Hebel, Christian and Borchard,
Nils and van der Kruk, Jan and Bogena, Heye and Vereecken,
Harry and Huisman, Johan Alexander},
title = {{P}otential of catchment-wide soil water content prediction
using electromagnetic induction in a forest ecosystem},
journal = {Environmental earth sciences},
volume = {76},
number = {3},
issn = {1866-6299},
address = {Berlin},
publisher = {Springer},
reportid = {FZJ-2017-01431},
pages = {111},
year = {2017},
abstract = {Mapping of soil water content (SWC) by electromagnetic
induction (EMI) is an established method to obtain
field-scale SWC information. However, the relationship
between SWC and the apparent electrical conductivity (ECa)
measured with EMI is complex and affected by several
confounding factors at the catchment scale such as variable
porosity (ϕ) and pore water electrical conductivity (σw).
In this study, we investigated these confounding factors
using a time-lapse EMI data set obtained in a forest
ecosystem with soils of low ECa and catchment-wide SWC data
provided by a wireless soil moisture sensor network. To
assess the impact of variable ϕ on the accuracy of SWC
estimates, we compared three different models to relate SWC
and ECa: (i) a linear regression model and two nonlinear
models based on Archie’s equation with (ii) constant ϕ
and (iii) variable ϕ. The linear model reached a prediction
accuracy of RMSE = 5.83 $vol\%,$ while the Archie models
increased the accuracy to RMSE = 4.55 $vol\%$ (constant ϕ)
and RMSE = 4.20 $vol\%$ (variable ϕ). Although we found
strong spatial similarities between SWC and ECa maps, the
temporal trends in SWC and ECa were inconsistent. This was
attributed to temporal variations in σw due to seasonal
changes in ion concentrations of the soil pore water. To
support this hypothesis, σw was calculated from the
measured ECa and the known soil saturation from SoilNet. The
resulting σw maps showed highly structured and consistent
patterns. We thus conclude that in addition to variation in
SWC and ϕ, spatiotemporal variations of σw affected the
ECa measured with EMI. These potentially confounding factors
in the interpretation of EMI measurements in terms of SWC
have not been sufficiently recognized in the literature so
far, and the results presented in this study indicate a
range of limitations for the use of EMI to monitor
spatiotemporal changes in SWC at test sites with low ECa.},
cin = {IBG-3},
ddc = {550},
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:000393021800013},
doi = {10.1007/s12665-016-6361-3},
url = {https://juser.fz-juelich.de/record/827237},
}