Estimating field-scale soil water dynamics at a heterogeneous site using multi-channel GPR

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Abstract

We explore the feasibility to quantify the field-scale soil water dynamics through time series of GPR (ground-penetrating radar) measurements, which bridge the gap between point measurements and field measurements. Working on a 40 m Ã-50 m area in a heterogeneous agricultural field, we obtain a time series of radargrams after a heavy rainfall event. The data are analysed to simultaneously yield (i) a three-dimensional representation of the subsurface architecture and (ii) the total soil water volume between the surface and a reflection boundary associated with the presence of paleo sand dunes or clay inclusions in a rather uniform sand matrix. We assess the precision and the accuracy of these quantities and conclude that the method is sensitive enough to capture the spatial structure of the changing soil water content in a three-dimensional heterogeneous soil during a short-duration infiltration event. While the sensitivity of the method needs to be improved, it already produced useful information to understand the observed patterns in crop height and it yielded insight into the dynamics of soil water content at this site including the effect of evaporation. © 2012 Author(s).

Figures

  • Fig. 1. Features of soil layering in the GPR radargram (p26 in Fig. 3).
  • Fig. 2. Schematic of a four channel GPR setup.
  • Fig. 3. A schematic of the field site with patterned crops (45 m× 36 m) and the survey design. The grey areas indicate smaller wheat than that at the other area. Lateral lines and red circles are the route measurements of GPR survey and boreholes, respectively. The small box on p13 indicates the soil profile dug.
  • Fig. 4. Weather conditions nearby the study site in May 2011, and the times for GPR survey (dashed grey lines).
  • Table 1. Observations of soil layering from borehole samplings (b1, b2, ..., b7 shown in Fig. 3).
  • Table 2. Assessment on the stability of the estimated reflector depths via statistical analysis. 1d is the average difference of the estimated reflector depths relative to the values measured on 22 May. ρ is the correlation coefficient between the reflector depths measured at the given times.
  • Fig. 6. Three dimensional reflector depth map for the dune-deposit structure using average data from a time series GPR measurements.
  • Fig. 5. Time-lapse images of depth-averaged soil water content θ , and total water volume lw between surface and the dune interface on 22, 23, 25, 27, 29 May 2011 (from top to bottom panels). Grey contour lines in all images represent the dune structure with a contour interval of 0.2 m. Blocks A are the areas with clay inclusions over the dune structure, and the other area is marked as B.

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CITATION STYLE

APA

Pan, X., Zhang, J., Huang, P., & Roth, K. (2012). Estimating field-scale soil water dynamics at a heterogeneous site using multi-channel GPR. Hydrology and Earth System Sciences, 16(11), 4361–4372. https://doi.org/10.5194/hess-16-4361-2012

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