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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},
}