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This article in SSSAJ

  1. Vol. 66 No. 4, p. 1143-1150
     
    Received: July 9, 2001
    Published: July, 2002


    * Corresponding author(s): sep@clarkson.edu
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doi:10.2136/sssaj2002.1143

Models for Estimating Soil Particle-Size Distributions

  1. Sang Il Hwanga,
  2. Kwang Pyo Leeb,
  3. Dong Soo Leeb and
  4. Susan E. Powers *a
  1. a Dep. of Civil and Environmental Engineering, Clarkson Univ., 8 Clarkson Ave., Potsdam, NY 13699-5710
    b D.S. Lee, Graduate School of Environ. Stud., Seoul National Univ., Seoul, 151-742, South Korea

Abstract

An accurate mathematical representation of particle-size distributions (PSDs) is required to estimate soil hydraulic properties or to compare texture measurements from different classification systems. The objective of this study was to evaluate the ability of seven models (i.e., five lognormal models, the Gompertz model, and the Fredlund model) to fit PSD data sets from a wide range of soil textures. Special attention was given to the effect of texture on model performance. Several criteria were used to determine the optimum model with the least number of fitting parameters when other conditions are equal. The Fredlund model with four parameters showed the best performance with the majority of soils studied, even when three criteria that impose a penalty for additional fitting parameters were used. Especially, the relative performance of the Fredlund model in regard to other models increased with increase of clay content. Among all soil classes, the lognormal models with two or three parameters showed better fits for silty clay, silty clay loam, and silt loam soils, and worse fit for sandy clay loam soil.

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Copyright © 2002. Soil Science SocietyPublished in Soil Sci. Soc. Am. J.66:1143–1150.

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