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Three Dimensional Measurements of Pore Morphological and Hydraulic Properties  

Chun, Hyen-Chung (National Academy of Agricultural Science, Rural Development Administration)
Gimenez, Daniel (Department of Environmental Sciences, Rutgers, The State University of New Jersey)
Yoon, Sung-Won (National Institute for Agronomic Research)
Heck, Richard (Department of Land Resource Science, Ontario Agricultural College, University of Guelph)
Elliot, Tom (Department of Land Resource Science, Ontario Agricultural College, University of Guelph)
Ziska, Laise (Agricultural Research Services)
Geaorge, Kate (Agricultural Research Services)
Sonn, Yeon-Kyu (National Academy of Agricultural Science, Rural Development Administration)
Ha, Sang-Keun (National Academy of Agricultural Science, Rural Development Administration)
Publication Information
Korean Journal of Soil Science and Fertilizer / v.43, no.4, 2010 , pp. 415-423 More about this Journal
Abstract
Pore network models are useful tools to investigate soil pore geometry. These models provide quantitative information of pore geometry from 3D images. This study presents a pore network model to quantify pore structure and hydraulic characteristics. The objectives of this work were to apply the pore network model to characterize pore structure from large images to quantify pore structure, calculate water retention and hydraulic conductivity properties from a three dimensional soil image, and to combine measured hydraulic properties from experiments with calculated hydraulic properties from image. Soil samples were taken from a site located at the Baltimore science center, which is located inside of the city. Undisturbed columns were taken from the site and scanned with a computer tomographer at resolutions of 22 ${\mu}m$. Pore networks were extracted by medial-axis transformation and were used to measure pore geometry from one of the scanned samples. Water retention and unsaturated hydraulic conductivity values were calculated from the soil image. Properties of soil bulk density, water retention and unsaturated hydraulic conductivity were measured from three replicates of scanned soil samples. 3D image analysis provided accurate detailed pore properties such as individual pore volumes, pore length, and tortuosity of all pores. These data made possible to calculate accurate estimations of water retention and hydraulic conductivity. Combination of the calculated and measured hydraulic properties gave more accurate information on pore sizes over wider range than measured or calculated data alone. We could conclude that the hydraulic property computed from soil images and laboratory measurements can describe a full structure of intra- and inter-aggregate pores in soil.
Keywords
pore geometry; computer tomography; medial axis model; water retention; unsaturated hydraulic conductivity;
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