Quantifying a soil pore distribution from 3D images: Multifractal spectrum through wavelet approach RID B-1239-2010

ABACUS/Manakin Repository

Show simple item record

dc.contributor.author Piñuela Izquierdo, Juan Antonio spa
dc.contributor.author Álvarez, A. spa
dc.contributor.author Andina, D. spa
dc.contributor.author Heck, R. J. spa
dc.contributor.author Tarquis, A. M. spa
dc.date.accessioned 2013-11-27T17:26:20Z
dc.date.available 2013-11-27T17:26:20Z
dc.date.issued 2010 spa
dc.identifier.citation Pinuela, J., Álvarez, A., Andina, D., Heck, R. J., & Tarquis, A. M. (2010). Quantifying a soil pore distribution from 3D images: multifractal spectrum through wavelet approach RID B-1239-2010. Geoderma, 155(3-4), 203-210. spa
dc.identifier.issn 00167061 spa
dc.identifier.uri http://hdl.handle.net/11268/643
dc.description.abstract Knowledge on soil pore geometry is important for understanding soil processes as it controls the movement and storage of fluids on various scales. With the advent of modern non-destructive tomography techniques there have been many attempts made to analyze pore space features mainly concentrating on the visualization Of Soil Structure. Multifractal formalism or the wavelet transform has been revealed as a useful tool in these cases where highly complex and heterogeneous media are studied. The field of 3D pore space analysis opens a challenging opportunity to develop techniques for quantifying and describing pore space properties. One of these quantifications can be the maximum depth pore network (MD), analogous as the quantification of the preferential flow paths. In this paper, a variation of the wavelet transform modulo maxima (WTMM) method used to compute multifractal behavior is presented. As a wavelet transform analysis (WTA), it allows us to focus on every scale which can be useful to select the range of scales where multifractal analysis (MFA) can be applied, revealing the MD global scaling patterns. In addition, the proposed method does not make any global estimate, so it can also be used to focus on local distribution of singularities. So, in the context of multiscaling structure analysis, the proposed wavelet-based method can complement box-counting analysis in order to statistically describe preferential flow path geometry and flow processes. The methodology is applied to determine the multifiractal behaviour of 3D images of soil samples with 45.1 mu m resolution (256 x 256 x 256 voxels) with closer porosities (ranging from 12% to 14%) and different spatial arrangements. (C) 2009 Elsevier B.V. All rights reserved. spa
dc.language.iso eng spa
dc.subject.other Multifractal Analysis spa
dc.subject.other Lipschitz Exponents spa
dc.subject.other Scaling spa
dc.subject.other C. Tomography spa
dc.subject.other Ray Computed-Tomography spa
dc.subject.other Fractal Dimension spa
dc.subject.other Singularity Detection spa
dc.subject.other Bulk-Density spa
dc.subject.other Macroporosity spa
dc.subject.other Quantification spa
dc.subject.other Agriculture spa
dc.title Quantifying a soil pore distribution from 3D images: Multifractal spectrum through wavelet approach RID B-1239-2010 spa
dc.type article spa
dc.description.impact 2.178 JCR (2010) Q1, 5/32 Soil science spa
dc.identifier.doi 10.1016/j.geoderma.2009.07.007 spa
dc.rights.accessRights closedAccess en
dc.subject.unesco Suelo spa
dc.subject.unesco Ingeniería de la construcción spa
dc.subject.unesco Reconocimiento de formas spa
dc.description.filiation UEM spa
dc.peerreviewed Si spa

Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record