Articles | Volume 20, issue 10
Research article
06 Oct 2016
Research article |  | 06 Oct 2016

Prediction of biopore- and matrix-dominated flow from X-ray CT-derived macropore network characteristics

Muhammad Naveed, Per Moldrup, Marcel G. Schaap, Markus Tuller, Ramaprasad Kulkarni, Hans-Jörg Vogel, and Lis Wollesen de Jonge

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Cited articles

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Buckingham, E.: Contributions to our knowledge of the aerations of soils. Bur. Soil Bull. 25. US Gov. Print. Office, Washington, DC, 1904.
Chamindu Deepagoda, T. K. K., Moldrup, P., de Jonge, L. W., Kawamoto, K., and Komatsu, T.: Density-corrected models for gas diffusivity and air permeability in unsaturated soil, Vadose Zone J., 10, 226–238, 2011.
Chen, C. W., Luo, J., and Parker, K. J.: Image segmentation via adaptive K-mean clustering and knowledge-based morphological operations with biomedical applications. IEEE T. Image Process., 7, 1673–1683, 1998.
Short summary
Quantification of rapid flow of water and associated transport of contaminants through large soil pores generated by earthworms or decaying plant roots is of crucial importance for sustaining both soil and water quality. Advanced visualization and analysis techniques based on state-of-the-art X-ray computed tomography have been applied to 65 soil cores extracted from an agricultural field in Silstrup, Denmark, to improve models for the prediction of fast, preferential flow processes in soils.