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1000 Titel
  • Wavelet analysis of soil water state variables for identification of lateral subsurface flow: Lysimeter vs. field data
1000 Autor/in
  1. Ehrhardt, Annelie |
  2. Groh, Jannis |
  3. Gerke, Horst |
1000 Erscheinungsjahr 2021
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-05-10
1000 Erschienen in
1000 Quellenangabe
  • 20(3):e20129
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1002/vzj2.20129 |
1000 Ergänzendes Material
  • https://acsess.onlinelibrary.wiley.com/doi/10.1002/vzj2.20129#vzj220129-app-0001-title |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-0512-4814|https://orcid.org/0000-0002-1681-2850|https://orcid.org/0000-0002-6232-7688
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
1000 Fördernummer
  1. GE 990/13-1
1000 Förderprogramm
  1. VAMOS
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm VAMOS
    1000 Fördernummer GE 990/13-1
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6430264.rdf
1000 Erstellt am 2021-11-16T11:50:33.265+0100
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1000 Vgl. frl:6430264
1000 Oai Id
  1. oai:frl.publisso.de:frl:6430264 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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