Particle-Size Distribution Models for the Conversion of Chinese Data to FAOUSDA System
Joint Authors
Shangguan, Wei
Dai, YongJiu
García-Gutiérrez, Carlos
Yuan, Hua
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Shangguan, Wei& Dai, YongJiu& García-Gutiérrez, Carlos& Yuan, Hua. 2014. Particle-Size Distribution Models for the Conversion of Chinese Data to FAOUSDA System. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1048343
Modern Language Association (MLA)
Shangguan, Wei…[et al.]. Particle-Size Distribution Models for the Conversion of Chinese Data to FAOUSDA System. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1048343
American Medical Association (AMA)
Shangguan, Wei& Dai, YongJiu& García-Gutiérrez, Carlos& Yuan, Hua. Particle-Size Distribution Models for the Conversion of Chinese Data to FAOUSDA System. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1048343
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048343