Journal Article

FZJ-2019-05774

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Monitoring Soil Water Content Using Time-Lapse Horizontal Borehole GPR Data at the Field-Plot Scale

Klotzsche, A. (Corresponding author)FZJ* ; Lärm, L.FZJ* ; Vanderborght, J.FZJ* ; Cai, G. ; Morandage, S.FZJ* ; Zörner, M. ; Vereecken, H.FZJ* ; van der Kruk, J.FZJ*

2019
GeoScienceWorld Alexandria, Va.

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Please use a persistent id in citations: http://hdl.handle.net/2128/23623  doi:10.2136/vzj2019.05.0044

Abstract: Ground penetrating radar (GPR) has shown a high potential to derive soil water content (SWC) at different scales. In this study, we combined multiple horizontal GPR measurements at different depths to investigate the spatial and temporal variability of the SWC under cropped plots. The SWC data were analyzed for four growing seasons between 2014 and 2017, two soil types (gravelly and clayey–silty), two crops (wheat [Triticum aestivum L.] and maize [Zea mays L.]), and three different water treatments. We acquired more than 150 time-lapse GPR datasets along 6-m-long horizontal crossholes at six depths. The GPR SWC distributions are distinct both horizontally and vertically for both soil types. A clear change in SWC can be observed at both sites between the surface layer (>0.3 m) and subsoil. Alternating patches of higher and lower SWC, probably caused by the soil heterogeneity, were observed along the horizontal SWC profiles. To investigate the changes in SWC with time, GPR and time-domain reflectometry (TDR) data were averaged for each depth and compared with changes in precipitation, treatment, and soil type. The high-temporal-resolution TDR and the large-sampling-volume GPR show similar trends in SWC for both sites, but because of the different sensing volumes, different responses were obtained due to the spatial heterogeneity. A difference in spatial variation of the crosshole GPR SWC data was detected between maize and wheat. The results for this 4-yr period indicate the potential of this novel experimental setup to monitor spatial and temporal SWC changes that can be used to study soil–plant–atmosphere interactions.

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) (POF3-255)

Appears in the scientific report 2019

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Agriculture, Biology and Environmental Sciences ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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