The dependence of macroscopic soil parameters on
sampling volume is currently the object of renewed research
focus. In this paper, x-ray computed tomography data
related to cores obtained in two different locations in a field
soil are used to simulate this dependence. Several integration
methods are adopted, to mimic different measuring devices.
Calculation results, relative to the volumetric water content,
volumetric air content, gravimetric water content and dry bulk
density, demonstrate that the size (up to
60×60×30 mm3), shape and positioning of sampling
volumes influence significantly the measured values of soil
parameters. In some cases, the instrumental dependence
disappears within a range of sampling volumes, in agreement with
a hypothesis underlying the so-called representative elementary
volume concept. However, some parameters, like the soil bulk
density, do not level off with increasing sampling volumes.
These observations open new avenues for research on measurement
processes in soils and other heterogeneous media.
Assessment of soil structure, characterized by complex morphological and functional properties, is difficult because most conventional soil physical investigations are destructive and variable in spatial resolution. The use of X-ray computed tomography, as a non-destructive technique, presents significant progress. It can be used to study soil structure at the millimetre scale, e.g. with a resolution of 0.25 mm in the horizontal direction and 1 mm in the vertical direction for the reported study. The measured Hounsfield Unit (HU) values characterize X-ray attenuation for each volume element of the soil core samples. From HU values, soil physical properties of soil cores or their subunits can be derived. They enable: (i) visual assessment of the soil structural condition through inspection of the X-ray CT images; (ii) 3D visualization of air-filled macropores; and (iii) calculation of the mean dry bulk density and standard deviation of voxel-related HU values for successive slices of soil cores. The degradation of structure of loamy and silty soils by tillage could be assessed by CT through quantification of decreased air-filled porosity, destroyed macropore connectivity, increased dry bulk density and decreased standard deviation of HU values in horizontal slices. Small-scale compactions near earthworm burrows could also be detected.
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