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

 

Wei Shangguan,¹ YongJiu Dai,¹ Carlos García-Gutiérrez,² and Hua Yuan¹

 

1College of Global Change and Earth System Science, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China

2Department of Applied Mathematics, School of Agricultural Engineering Technical, University Polytechnic of Madrid, 28040 Madrid, Spain

 

ABSTRACT

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 , 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.

 

PUBLISHED BY: SCIENTIFIC WORLD JOURNAL, 2014, 10.1155/2014/109310

 

SOURCE:  http://www.hindawi.com/journals/tswj/2014/109310/