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@ARTICLE{Ehrhardt:892502,
author = {Ehrhardt, Annelie and Groh, Jannis and Gerke, Horst H.},
title = {{W}avelet analysis of soil water state variables for
identification of lateral subsurface flow: {L}ysimeter vs.
field data},
journal = {Vadose zone journal},
volume = {20},
number = {3},
issn = {1539-1663},
address = {Hoboken, NJ},
publisher = {Wiley},
reportid = {FZJ-2021-02111},
pages = {e20129},
year = {2021},
abstract = {Preferential and lateral subsurface flow (LSF) may be
responsible for the accelerated transport of water and
solutes in sloping agricultural landscapes; however, the
process is difficult to observe. One idea is to compare time
series of soil moisture observations in the field with those
in lysimeters, where flow is vertically oriented. This study
aims at identifying periods of deviations in soil water
contents and pressure heads measured in the field and in a
weighing lysimeter with the same soil profile. Wavelet
coherency analysis (WCA) was applied to time series of
hourly soil water content and pressure head data (15-, 32-,
60-, 80-, and 140-cm depths) from Colluvic Regosol soil
profiles. The phase shifts and periodicities indicated by
the WCA plots reflected the response times to rain events in
the same depth of lysimeter and field soil. For many rain
events and depths, pressure and moisture sensors installed
in the field soil responded earlier than those in the
lysimeter. This could be explained by either vertical
preferential flow or LSF from upper hillslope positions.
Vice versa, a faster response in the lysimeter soil could be
indicative for vertical preferential flow effects. Dry
weather conditions and data gaps limited the number of
periods with elevated soil moisture in 2016–2018, in which
LSF was likely to occur. The WCA plots comprise all temporal
patterns of time shifts and correlations between larger data
time series in a condensed form to identify potentially
relevant periods for more detailed analyses of subsurface
flow dynamics.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {217 - Für eine nachhaltige Bio-Ökonomie – von
Ressourcen zu Produkten (POF4-217) / 2173 -
Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-217 / G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000648518200001},
doi = {10.1002/vzj2.20129},
url = {https://juser.fz-juelich.de/record/892502},
}