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This article in SSSAJ

  1. Vol. 75 No. 4, p. 1226-1235
     
    Received: Sept 8, 2010
    Published: July, 2011


    * Corresponding author(s): mmcintos@umd.edu
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doi:10.2136/sssaj2010.0339

Ground-Penetrating Radar Detection and Three-Dimensional Mapping of Lateral Macropores: I. Calibration

  1. Kevin H. Gormallyab,
  2. Marla S. McIntosh *c and
  3. Anthony N. Mucciardid
  1. a Marine, Estuarine, and Environ. Sci. Univ. of Maryland, College Park, MD
    b currently at The Johns Hopkins University Applied, Physics Lab., Laurel, MD
    c Plant Science and Landscape, Architecture, Univ. of Maryland, College Park, MD
    d TreeRadar, Inc., Silver Spring, MD

Abstract

Preferential flow of water through soil macropores is known to contribute to groundwater and surface water contamination as well as stream bank instability. However, research on the mechanisms and extent of soil macroporosity is limited due to the lack of a practical technique to study macropores in situ without disrupting the site's ecological function. In this paper, we present a ground-penetrating radar (GPR)-based methodology for detecting soil macropores smaller than 10 cm in diameter within 1 m of the soil surface and then creating a computerized tomogram of the macropore network. Manual and automated algorithms for macropore detection were tested for scan data collected using a 900-MHz radar antenna in a field experiment with a silt-loam soil. Buried polyvinyl chloride (PVC) pipes were used to simulate soil macropores of different diameters and fill contents intersected by GPR scan lines at four different angles. Pipes ≥ 3.00 cm in diameter were clearly detectable regardless of the scan line orientation relative to the target, and pipes with diameters as small as 1.85 cm were detected at perpendicular angles of intersection. In a second field experiment, PVC pipes of varying dimensions were buried at different depths to simulate a macropore network of preferential flow pathways. A branch-node algorithm was developed that referenced GPR scan line detections to create an accurate computer-generated three-dimensional map of the pipe network.

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Copyright © 2011. Copyright © by the Soil Science Society of America, Inc.