Click for new scientific resources and news about Corona[COVID-19]

Paper Information

Journal:   JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)   JANUARY-FEBRUARY 2017 , Volume 30 , Number 6 ; Page(s) 1905 To 1917.
 
Paper: 

TWO AND THREE-PHASES FRACTAL MODELS APPLICATION IN SOIL SATURATED HYDRAULIC CONDUCTIVITY ESTIMATION

 
 
Author(s):  REZAEI ABAJELU E., ZEINALZADEH K.*
 
* DEPARTMENT OF WATER ENGINEERING, URMIA LAKE RESEARCH INSTITUDE, URMIA UNIVERSITY, URMIA
 
Abstract: 

Introduction: Soil Hydraulic conductivity is considered as one of the most important hydraulic properties in water and solution movement in porous media. In recent years, various models as pedo-transfer functions, fractal models and scaling technique are used to estimate the soil saturated hydraulic conductivity (Ks). Fractal models with two subset of two (solid and pore) and three phases (solid, pore and soil fractal) (PSF) are used to estimate the fractal dimension of soil particles. The PSF represents a generalization of the solid and pore mass fractal models. The PSF characterizes both the solid and pore phases of the porous material. It also exhibits self-similarity to some degree, in the sense that where local structure seems to be similar to the whole structure. PSF models can estimate interface fractal dimension using soil pore size distribution data (PSD) and soil moisture retention curve (SWRC). The main objective of this study was to evaluate different fractal models to estimate the Ks parameter.
Materials and Methods: The Schaapetal data was used in this study. The complex consists of sixty soil samples. Soil texture, soil bulk density, soil saturated hydraulic conductivity and soil particle size distribution curve were measured by hydrometer method, undistributed soil sample, constant head method and wet sieve method, respectively for all soil samples. Soil water retention curve were determined by using pressure plates apparatus. The Ks parameter could be estimated by Ralws model as a function of fractal dimension by seven fractal models. Fractal models included Fuentes at al. (1996), Hunt and Gee (2002), Bird et al. (2000), Huang and Zhang (2005), Tyler and Wheatcraft (1990), Kutlu et al. (2008), Sepaskhah and Tafteh (2013). Therefore The Ks parameter can be estimated as a function of the DS (fractal dimension) by seven fractal models (Table 2). Sensitivity analysis of Rawls model was assessed by making changes (
±10%, ±20% and±30%) in input parameters (porosity, fractal dimension and the intake air suction head).Some indices like RMSE, AIC and R2 were used to evaluate different fractal models.

 
Keyword(s): FRACTAL DIMENSION, HUANG AND ZHANG FRACTAL MODEL, RAWLS MODEL
 
References: 
  • ندارد
 
  pdf-File tarjomyar Persian Abstract Yearly Visit 55
 
Latest on Blog
Enter SID Blog