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| Titel |
Fractal Metrology for biogeosystems analysis |
| VerfasserIn |
V. Torres-Argüelles, K. Oleschko, A. M. Tarquis, G. Korvin, C. Gaona, J.-F. Parrot, E. Ventura-Ramos |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 7, no. 11 ; Nr. 7, no. 11 (2010-11-24), S.3799-3815 |
| Datensatznummer |
250005071
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| Publikation (Nr.) |
 copernicus.org/bg-7-3799-2010.pdf |
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| Zusammenfassung |
| The solid-pore distribution pattern plays an important role in soil
functioning being related with the main physical, chemical and biological
multiscale and multitemporal processes of this complex system. In the
present research, we studied the aggregation process as self-organizing and
operating near a critical point. The structural pattern is extracted from
the digital images of three soils (Chernozem, Solonetz and
"Chocolate" Clay) and compared in terms of roughness
of the gray-intensity distribution quantified by several measurement
techniques. Special attention was paid to the uncertainty of each of them
measured in terms of standard deviation. Some of the applied methods are
known as classical in the fractal context (box-counting, rescaling-range and
wavelets analyses, etc.) while the others have been recently developed by
our Group. The combination of these techniques, coming from Fractal
Geometry, Metrology, Informatics, Probability Theory and Statistics is
termed in this paper Fractal Metrology (FM). We show the usefulness of FM for complex systems
analysis through a case study of the soil's physical and chemical
degradation applying the selected toolbox to describe and compare the
structural attributes of three porous media with contrasting structure but
similar clay mineralogy dominated by montmorillonites. |
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