Stochastic analysis of flow and mass transport in soil, usually assumes that soil hydraulic properties are stationary homogeneous stochastic processes with a unite variance. Some field data suggest that soil hydraulic distributions may have a fractal character with long-range correlations, lit this study new field soil hydraulic data-sets, measured along transects of an Andosol and a Vertic-Fluvent soil, were analyzed for fractal behavior using a stochastic fractal function such as fractional Brownian motion (fBm) and power-law variogram fits to estimate the monofractal Hurst exponent H as a measure of self-similarity. Our analysis lend further support to the hypothesis that horizontal processes, that mimic fBm, will display a power-law variogram. (C) 2013 The Authors. Published by Elsevier B.V
Use of a Fractional Brownian Motion Model to Mimic Spatial Horizontal Variation of Soil Physical and Hydraulic Properties Displaying a Power-law Variogram / A., Comegna; A., Coppola; V., Comegna; Sommella, Angelo; C. D., Vitale. - In: PROCEDIA ENVIRONMENTAL SCIENCES. - ISSN 1878-0296. - 19:(2013), pp. 416-425. [10.1016/j.proenv.2013.06.048]
Use of a Fractional Brownian Motion Model to Mimic Spatial Horizontal Variation of Soil Physical and Hydraulic Properties Displaying a Power-law Variogram
SOMMELLA, ANGELO;
2013
Abstract
Stochastic analysis of flow and mass transport in soil, usually assumes that soil hydraulic properties are stationary homogeneous stochastic processes with a unite variance. Some field data suggest that soil hydraulic distributions may have a fractal character with long-range correlations, lit this study new field soil hydraulic data-sets, measured along transects of an Andosol and a Vertic-Fluvent soil, were analyzed for fractal behavior using a stochastic fractal function such as fractional Brownian motion (fBm) and power-law variogram fits to estimate the monofractal Hurst exponent H as a measure of self-similarity. Our analysis lend further support to the hypothesis that horizontal processes, that mimic fBm, will display a power-law variogram. (C) 2013 The Authors. Published by Elsevier B.VI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.