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Estimation of Soil-Water Retention From Particle-Size Distribution: Fractal Approaches

Ghanbarian-Alavijeh, Behzad1; Hunt, Allen G.1,2

doi: 10.1097/SS.0b013e3182499910
Technical Article

Soil-water retention curve (SWRC) is one of the most important properties of porous media whose estimation is still under investigation by either physically based approaches or empirically developed models. In this short communication, the authors reviewed three well-known fractal approaches, that is, Kravchenko and Zhang, the pore-solid fractal, and Hunt and Gee methods, which estimate SWRC from particle-size distribution. The authors argue that the most reliable method is to use Hunt and Gee’s approach to estimate SWRC, then modify the estimated equilibrium water content by the Hunt and Skinner algorithm for nonequilibrium conditions.

1Department of Earth and Environmental Science, Wright State University, Dayton,OH, USA.

2Department of Physics, Wright State University, Dayton, OH, USA.

Address for correspondence: Allen G. Hunt, Department of Physics, 241 Fawcett Hall, Wright State University, 3640 Colonel Glenn Highway, Dayton, OH 45435, USA. E-mail:

Financial Disclosures/Conflicts of Interest: None reported.

Received October 6, 2011.

Accepted for publication January 4, 2012.

© 2012 Lippincott Williams & Wilkins, Inc.