Multifractal Characterization of Soil Pore Systems
Adolfo N. D. Posadasa,
Daniel Giménez*,b,
Roberto Quirozc and
Richard Protzd
a International Potato Center (CIP), P.O. Box 1558, Lima 12 Perú and Universidad Mayor de San Marcos, FCF-DAFI, P.O. Box 10584, Lima 1- Perú
b Dep. of Environmental Sciences, Rutgers Univ., 14 College Farm Road, New Brunswick, NJ 08901
c International Potato Center (CIP), P.O. Box 1558, Lima 12 Perú
d Dep. of Land Resource Science, Univ. of Guelph, Guelph, ON, Canada

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Fig. 1. Illustration of multifractal theory applied to a binary image. (a) binary image of Soil 7 (500 x 750 pixels), spatial pattern of probabilities Pi(L) calculated with Eq. [3] using (b) L = 10 and (c) L = 50 pixels, and spatial pattern of the exponent i estimated with Eq. [4] using (d) L = 10 and (e) L = 50 pixels.
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Fig. 3. Example of f(q) and (q) functions estimated in the range of q values in which the numerators of Eq. [12] and [13] were linear with log L (see Fig. 2).
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Fig. 4. Binary images of the studied soil thin sections separated in groups of similar pore properties.
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Fig. 5. Selected cumulative distributions of pore area measured on binary images.
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Fig. 6. f( )-spectra for soils in (a) Group 1, (b) Group 2, and (c) Group 3, as shown in Fig. 4.
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Copyright © 2003 by the Soil Science Society of America.