Journal
GEODERMA
Volume 156, Issue 3-4, Pages 133-142Publisher
ELSEVIER
DOI: 10.1016/j.geoderma.2010.02.010
Keywords
Computed tomography; Hydraulic conductivity; Random walk
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This study investigates the use of 3D soil pore characteristics (volume, surface area, and tortuosity) for prediction of saturated hydraulic conductivity (K-s). The pore characteristics were determined by cluster labeling of X-ray CT images and random-walk simulations of 3D pore space. The flow characteristics of the four soil cores were measured in the laboratory pre- and post-CF imaging. The predicted values of K, were arrived at through the use of Darcy's equation and a modified Poiseuille equation. For comparison the 2D pore characteristics were determined from individual slice of X-ray CT imagery, and fed into three established methods of predicting K-s. The predicted K-s by the proposed method exhibited a positive correlation to both pre- and post-imaging measured K-s, and attained a greater correlation than the 2D K-s prediction. (C) 2010 Elsevier B.V. All rights reserved.
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