Particle-Size Distribution Models for the Conversion of Chinese Data to FAO/USDA System

We investigated eleven particle-size distribution (PSD) models to determine the appropriate models for describing the PSDs of 16349 Chinese soil samples. These data are based on three soil texture classification schemes, including one ISSS (International Society of Soil Science) scheme with four dat...

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Bibliographic Details
Published in:TheScientificWorld 2014-01, Vol.2014 (2014), p.1-11
Main Authors: Yuan, Hua, García-Gutiérrez, Carlos, Dai, YongJiu, Shangguan, Wei
Format: Article
Language:English
Subjects:
China
Classification
Dynamics of a particle
Fractals
Growth models
Hydraulics
Loam soils
Models, Theoretical
Particle Size
Physical properties
Properties
Soil - chemistry
Soil - classification
Soil sciences
Soil texture
Soils
Studies
United Nations
United States
United States Department of Agriculture
Weibull distribution
Weights and Measures - standards
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Summary:We investigated eleven particle-size distribution (PSD) models to determine the appropriate models for describing the PSDs of 16349 Chinese soil samples. These data are based on three soil texture classification schemes, including one ISSS (International Society of Soil Science) scheme with four data points and two Katschinski’s schemes with five and six data points, respectively. The adjusted coefficient of determination r 2 , Akaike’s information criterion (AIC), and geometric mean error ratio (GMER) were used to evaluate the model performance. The soil data were converted to the USDA (United States Department of Agriculture) standard using PSD models and the fractal concept. The performance of PSD models was affected by soil texture and classification of fraction schemes. The performance of PSD models also varied with clay content of soils. The Anderson, Fredlund, modified logistic growth, Skaggs, and Weilbull models were the best.
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2014/109310