Saturday, 15 July 2006
121-4

Discrimination of Induration Features in Some Iranian Soils Using High- resolution CT Scanner Imagery.

Fereydoon Sarmadian, Soil Science Dept, Faculty of Soil and Water, Univ of Tehran, Daneshkadeh St, Karaj, Iran and Richard Heck, Univ of Guelph, Dept of Land Resource Science, Univ of Guelph, Guelph, ON N1L 1M4, Canada.

Thin-sections have been the conventional means of studying of soil micromorphology for more than 50 years. Though recent advancements in computerized analysis systems permit the quantification and spatial analysis of soil features in two-dimensional (2D) digital imagery, the approach still presents significant limitations. The extrapolation of features, such as aggregates of primary particles and the resulting void systems, from 2D imagery to three-dimensional (3D) models still requires the implicit assumption of isotropy. Furthermore, the need to cast the soil samples in resin precludes certain physical or chemical characterization, complicating the determination of relationships between soil micromorphology and other properties. The adaptation of high-resolution computerized x-ray tomography (CT scanning) to the study of intact soil enables the non-destructive collection of 3D imagery. Current instrumentation can yield 25 mm voxel sizes for soil cores of 64 mm diameter. The present research uses CT scanning to examine the internal configuration of major constituents in soils selected from various regions of Iran. Of particular interest is the distribution of cementing agents including silica, secondary carbonates, gypsum, and chloride salts, and their relationship to the soil's pore system. Interpretation of the CT imagery is aided by observations of conventional thin sections and spatial mineralogical analysis. 6) Keywords: soil, micromorphology, CT scanner, image analysis, Iran de salts, and their relationship to the soil's pore system. Interpretation of the CT imagery is aided by observations of conventional thin sections and spatial mineralogical analysis. Keywords: soil, micromorphology, CT scanner, image analysis, Iran

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