Probability density function: A tool for simultaneous monitoring of pore/solid roughness and moisture content
Por:
Oleschko K., Korvin G., Flores L., Brambila F., Gaona C., Parrot J.F., Ronquillo G., Zamora S.
Publicada:
30 nov 2010
Categoría:
Soil Science
Resumen:
We present a novel approach to multiscale fractal image analysis for monitoring the dynamics of the soil pore/solid network roughness due to moisture content changes. Roughness of the gray-level probability density function (PDF) of subsequent images of the drying soil was expressed in terms of its Hurst exponent (H(PDF)), which correlated significantly with the soil dielectric permittivity and gravimetric water content, as well as with micro-horizon depth and the temporal progress of drying. We documented an intermittent character of the water content dynamics, correlating with oscillations of the pore/solid interface roughness. Our technique of PDF roughness analysis of digital images, exemplified here for soil moisture monitoring, can be applied for monitoring the other complex systems, for instance plant growth in greenhouse. (C) 2009 Elsevier B.V. All rights reserved.
Filiaciones:
Oleschko K.:
Univ Nacl Autonoma Mexico, Ctr Geociencias, Juriquilla 76230, Qro, Mexico
Korvin G.:
King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
Flores L.:
Univ Nacl Autonoma Mexico, Inst Geol, Mexico City 04510, DF, Mexico
Brambila F.:
Univ Nacl Autonoma Mexico, Fac Ciencias, Dept Matemat, Mexico City 04510, DF, Mexico
Gaona C.:
División de Estudios de Posgrado de la Facultad de Ingeniería, Universidad Autónoma de Querétaro (UAQ), Mexico
Parrot, Jean-Francois, Instituto de Geografía, UNAM, Mexico
Parrot J.F.:
Univ Nacl Autonoma Mexico, Inst Geog, Mexico City 04510, DF, Mexico
Ronquillo G.:
Instituto Mexicano del Petróleo, Mexico
Zamora S.:
Univ Nacl Autonoma Mexico, Ctr Geociencias, Juriquilla 76230, Qro, Mexico
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