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Web URL(s): | https://acsess.onlinelibrary.wiley.com/doi/10.2136/sssaj2002.1143 Last checked: 02/28/2024 Access conditions: Item is within a limited-access website https://acsess.onlinelibrary.wiley.com/doi/epdf/10.2136/sssaj2002.1143 Last checked: 02/28/2024 Requires: PDF Reader Access conditions: Item is within a limited-access website |
Publication Type:
| Refereed |
Author(s): | Hwang, Sang II;
Lee, Kwang Pyo;
Lee, Dong Soo;
Powers, Susan E. |
Author Affiliation: | Hwang and Powers: Department of Civil and Environmental Engineering, Clarkson University, Potsdam, NY; K. P. Lee and D. S. Lee: Graduate School of Environmental Studies, Seoul National University, Seoul, South Korea |
Title: | Models for estimating soil particle-size distributions |
Section: | Division S-1 - Soil physics Other records with the "Division S-1 - Soil physics" Section
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Source: | Soil Science Society of America Journal. Vol. 66, No. 4, July/August 2002, p. 1143-1150. |
Publishing Information: | Madison, WI: Soil Science Society of America |
# of Pages: | 8 |
Keywords: | TIC Keywords: Particle size; Physical properties of soil; Models; Hydraulic properties; Soil texture
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Abstract/Contents: | "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." |
Language: | English |
References: | 39 |
Note: | Figures Tables Graphs |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Hwang, S. II, K. P. Lee, D. S. Lee, and S. E. Powers. 2002. Models for estimating soil particle-size distributions. Soil Sci. Soc. Am. J. 66(4):p. 1143-1150. |
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| Web URL(s): https://acsess.onlinelibrary.wiley.com/doi/10.2136/sssaj2002.1143 Last checked: 02/28/2024 Access conditions: Item is within a limited-access website https://acsess.onlinelibrary.wiley.com/doi/epdf/10.2136/sssaj2002.1143 Last checked: 02/28/2024 Requires: PDF Reader Access conditions: Item is within a limited-access website |
| MSU catalog number: S 590 .S65 |
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