Classification and regression trees (CARTs) for modelling the sorption and retention of heavy metals by soil

The sorption and retention of mixtures of heavy metals by soil is a complex process that depends on both soil properties and competition between metals for sorption sites. In this study, the sorption and retention of mixtures of Cd, Cr, Pb, Cu, Zn and Ni by a representative sample of soils from Gali...

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Bibliographic Details
Published in:Journal of hazardous materials 2009-08, Vol.167 (1), p.615-624
Main Authors: Vega, F.A., Matías, J.M., Andrade, M.L., Reigosa, M.J., Covelo, E.F.
Format: Article
Language:English
Subjects:
Adsorption
Algorithms
Applied sciences
Binding Sites
CART
Exact sciences and technology
Heavy metal
Linear Models
Metals, Heavy
Models, Theoretical
Pollution
Regression trees
Retention
Soil
Soil characteristics
Sorption
Spain
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Summary:The sorption and retention of mixtures of heavy metals by soil is a complex process that depends on both soil properties and competition between metals for sorption sites. In this study, the sorption and retention of mixtures of Cd, Cr, Pb, Cu, Zn and Ni by a representative sample of soils from Galicia (N.W. Spain) was reproduced considerably more precisely by binary decision-tree regression models constructed using the CART algorithm than by linear regression models. Of the six metals competing for sorption sites in these experiments, Pb, Cu and Cr were sorbed and retained to a greater extent than Cd, Ni and Zn. Non-linear tree regression models constructed with CART fitted the data better than linear models, especially for Cd, Ni and Zn; and with both kinds of model the data for Pb, Cu and Cr were fitted better than those for Cd, Ni and Zn (the difference being much more marked for linear models), suggesting that the influence of soil properties on the sorption and retention of the latter three metals was limited by the preferential binding of the former three.
ISSN:0304-3894
1873-3336
DOI:10.1016/j.jhazmat.2009.01.016