Transfer functions for solid solution partitioning of cadmium, copper, nickel, lead and zinc in soils: derivation of relations for free metal ion activities and validation with independent data
Groenenberg, J.E.; Romkens, P.F.A.M.; Comans, R.N.J.; Luster, J.; Pampura, T.; Shotbolt, L.; Tipping, Edward; De Vries, W.. 2010 Transfer functions for solid solution partitioning of cadmium, copper, nickel, lead and zinc in soils: derivation of relations for free metal ion activities and validation with independent data. European Journal of Soil Science, 61 (1). 58-73. 10.1111/j.1365-2389.2009.01201.xFull text not available from this repository.
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 their mathematical model, optimization method, 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 shows that transfer functions derived to optimize the Freundlich adsorption constant (Kf), in contrast to functions derived to optimize either the solid or solution concentration, are most suitable for predicting concentrations in solution from solid phase concentrations and vice versa. The model is 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 observations. The model only overestimated free metal ion activities at pH higher than 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 Ni and Zn.
|Item Type:||Publication - Article|
|Digital Object Identifier (DOI):||10.1111/j.1365-2389.2009.01201.x|
|Programmes:||CEH Topics & Objectives 2009 - 2012 > Biogeochemistry > BGC Topic 1 - Monitoring and Interpretation of Biogeochemical and Climate Changes|
|NORA Subject Terms:||Ecology and Environment
|Date made live:||19 Apr 2010 10:54|
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