100229 Representative Elementary Volume for Pore System Geometry Parameters Determined from 3D X-Ray Images.

Poster Number 471-117

See more from this Division: SSSA Division: Soil Physics and Hydrology
See more from this Session: Soil Physics and Hydrology Poster II

Wednesday, November 9, 2016
Phoenix Convention Center North, Exhibit Hall CDE

Livia Previatello da Silva, Center for Nuclear Energy in Agriculture - Soil Physics, University of Sao Paulo, Piracicaba - SP, BRAZIL, Quirijn de Jong van Lier, Center for Nuclear Energy in Agriculture, University of Sao Paulo, Piracicaba (SP), BRAZIL, Hans-Joerg Vogel, Department of Soil Physics, Helmholtz Centre for Environmental Research - UFZ, Halle, GERMANY and John Maximilian Kohne, Soil Physics, Helmholtz-Centre for Environmental Research GmbH – UFZ, Halle, Germany
Poster Presentation
  • Poster REV_CSA meeting 2016.pdf (300.2 kB)
  • Abstract:
    Microtomography is a non-destructive technique resulting in a high-resolution description of pore space geometry and fluid distribution including pore size distribution, shape, connectivity, tortuosity and orientation. 3D microtomography images request an acquisition time for obtaining the image, processing and analysis. In order to optimize file size and reduce computational requirements, the determination of the Representative Elementary Volume (REV) of 3D microtomography images is important. We determined the REV related to four parameters (which parameters) in four tropical soils from Brazil using 3D X-ray microtomography images with spatial resolution of 40 μm. Large undisturbed soil samples (height 7.5 cm Diameter 7.5 cm) were collected in PVC rings. The 3D X-ray microtomography images were obtained with a Nikon XT H 225 CT system and software CT Pro 3D (Nikon) was used to reconstruct the image. Image processing was performed using the FIJI/Image J software in subsamples of different sizes (from 7,912.70 mm³ to 14.83 mm³). For each size, the standard deviation of the obtained values was obtained. The REV was determined as the smallest size corresponding to a low standard deviation.

    See more from this Division: SSSA Division: Soil Physics and Hydrology
    See more from this Session: Soil Physics and Hydrology Poster II