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Pedotransfer functions to predict Atterberg limits for South African soils using measured and morphological properties
Author(s) -
Tol J. J.,
Dzvene A. R.,
Le Roux P. A. L.,
Schall R.
Publication year - 2016
Publication title -
soil use and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.709
H-Index - 81
eISSN - 1475-2743
pISSN - 0266-0032
DOI - 10.1111/sum.12303
Subject(s) - atterberg limits , pedotransfer function , soil science , soil water , silt , soil test , environmental science , cation exchange capacity , soil classification , soil carbon , total organic carbon , mathematics , environmental chemistry , chemistry , geology , geomorphology , hydraulic conductivity
Atterberg limits and indices, for example liquid limit ( LL ), plastic limit ( PL ), linear shrinkage ( LS ) and plasticity index ( PI ), are important soil properties in engineering and land evaluation for predicting soil mechanical behaviour. This study was conducted to develop and evaluate pedotransfer functions ( PTF s) to predict Atterberg limits using measured and morphological soil properties from a large data set in South Africa covering a vast range of soils, geologies and climates. Five PTF s were developed; the first four using measured properties from 2330 soil horizons including extractable Fe, Al, Mn, Na, K, Mg and Ca; organic carbon ( OC ); pH (H 2 O); cation exchange capacity ( CEC ); and sand, silt and clay fractions to predict LL , PL , LS and PI . Morphological descriptors such as colour, structure (grade, size and type), consistency, occurrence of slickensides and cutans and abundance of roots were included in the second PTF using data from 717 horizons to predict PI . For all PTF s, two‐thirds of the data were randomly selected and used for model development and the remainder for validation. Prediction accuracies of R 2 between 0.49 and 0.77 comparable to other studies on large data sets but underperformed when compared to localized data sets. For engineering purposes, site‐specific PTF s for prediction of Atterberg limits should be developed.