2016•Soil Use and ManagementRequires access

Pedotransfer functions to predict Atterberg limits for South African soils using measured and morphological properties

Johan J. van Tol, Admire Rukudzo Dzvene, P. A.L. le Roux, Robert Schall

Open publisher page 7 citations

Abstract

Abstract 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.

About this research paper

What this paper is about

Abstract 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.

Why it matters

OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract 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.

Key concepts: Atterberg limits, Pedotransfer function, Soil science, Soil water, Silt, Soil test, Environmental science, Cation-exchange capacity

Related papers

Back to paper searchBrowse research topicsOriginal source
Pedotransfer functions to predict Atterberg limits for South African soils using measured and morphological properties — Research Paper | ScholarLens