3D multifractal characterization of computed tomography images of soils under different tillage management: Linking multifractal parameters to physical properties

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Soto-gomez, D., Perez-rodriguez, P., Juiz, L. V., Paradelo, M. and Lopez-Periago, J. E. 2020. 3D multifractal characterization of computed tomography images of soils under different tillage management: Linking multifractal parameters to physical properties. Geoderma. 363, p. 114129. https://doi.org/10.1016/j.geoderma.2019.114129

AuthorsSoto-gomez, D., Perez-rodriguez, P., Juiz, L. V., Paradelo, M. and Lopez-Periago, J. E.
Abstract

Multifractal analysis of pore images obtained from X-ray computed tomography (CT) was used to characterizethe scaling properties of macropores in soils with different managements and their correspondence with mac-roscopic physical properties related with the soil functions.We used CT images of twenty undisturbed soil columns to examine the multifractal properties of the poresidentified by X-ray computed tomography (CT-Porosity). Multifractal spectra successfully describe the scaling ofthe pore network in all soil columns. The dimensions and scaling parameters of these spectra correlate withmacroscopic magnitudes, namely, CT-Porosity, surface area of the pore walls, tortuosity, and bulk density. Wealso found strong correlations between the singularity spectra and the topological descriptors of the pore net-work skeleton: total slab voxels, number of branches per path, number of endpoints and sum of branch length,among others. These correlations show that the complexity of the CT-Porosity can be related quantitatively withphysical properties, the organization of the pore skeleton and solute
transport

KeywordsMultifractal analysis; Soil management; Soil structure; Pore network; Organic farming
Year of Publication2020
JournalGeoderma
Journal citation363, p. 114129
Digital Object Identifier (DOI)https://doi.org/10.1016/j.geoderma.2019.114129
Open accessPublished as non-open access
FunderBiotechnology and Biological Sciences Research Council
Output statusPublished
Publication dates
Online30 Dec 2019
Publication process dates
Accepted08 Dec 2019
ISSN0016-7061
PublisherElsevier Science Bv

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