Transfer functions for solid-solution partitioning of cadmium, copper, nickel, lead and zinc in soils: derivation of relationships for free metal ion activities and validation with independent data |
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Authors: | J. E. Groenenberg,,P. F. A. M. Rö mkens,,R. N. J. Comans,,J. Luster,,T. Pampura,,L. Shotbolt,,E. Tipping, & W. de Vries, |
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Affiliation: | Soil Science Centre, Wageningen University and Research Centre, P.O. Box 47, 6700 AA Wageningen, the Netherlands; , Energy Research Centre of the Netherlands, P.O. Box 1, 1755 ZG Petten, the Netherlands; , Research Unit Soil Sciences, Swiss Federal Institute for Forest, Snow and Landscape Research, Zürcherstrasse 111 CH-8903 Birmensdorf, Switzerland; , Laboratory of Physical Chemistry of Soils, Institute of Physicochemical and Biological Problems in Soil Science RAS, Pushchino, Moscow Region, 142290, Russia; , Department of Geography, Queen Mary, University of London, Mile End Road, London E1 4NS, UK; , and Centre for Ecology &Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK |
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Abstract: | Models to predict the solid-solution partitioning of trace metals are important tools in risk assessment, providing information on the biological availability of metals and their leaching. Empirically based models, or transfer functions, published to date differ with respect to the mathematical model used, the optimization method, the methods used to determine metal concentrations in the solid and solution phases and the soil properties accounted for. Here we review these methodological aspects before deriving our own transfer functions that relate free metal ion activities to reactive metal contents in the solid phase. One single function was able to predict free-metal ion activities estimated by a variety of soil solution extraction methods. Evaluation of the mathematical formulation showed that transfer functions derived to optimize the Freundlich adsorption constant ( K f ), in contrast to functions derived to optimize either the solid or solution concentration, were most suitable for predicting concentrations in solution from solid phase concentrations and vice versa . The model was shown to be generally applicable on the basis of a large number of independent data, for which predicted free metal activities were within one order of magnitude of the observations. The model only over-estimated free-metal ion activities at alkaline pH (>7). The use of the reactive metal content measured by 0.43 m HNO3 rather than the total metal content resulted in a close correlation with measured data, particularly for nickel and zinc. |
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