The triple-layer model of the oxide/water interface can be used to calculate the partitioning of metals among solid and aqueous phases. The defensible use of the triple-layer model in groundwater/sediment systems requires an adequate and consistent set of intrinsic adsorption constants. In the present study, published values of p*Kint for cation adsorption on iron and manganese oxides have been used to calculate values for surface complexation constants (log KSC) via
log KM(OH)nSC = pKa2int − p*KM(OH)nint − log β1n
where pKa2int is the intrinsic acidity constant and β1n is the nth cation hydrolysis constant. This transformation reduced the variation between log log KSC values determined by different investigators. Uncertainties in acidity constants and variations in site loading with adsorbing metal are the major sources of variation in the values of p*Kint. In addition, ionic strength can affect the values of p*Kint for strongly adsorbed cations. Predictive equations based on ion size and hydrolysis behavior have been derived and missing values of p*Kint for important pollutant metals predicted. Although these equations do not explicitly account for variations in ionic strength and surface loading, they are useful for predicting values of p*Kint with uncertainties of 0.5–0.8 (α-FeOOH) and 0.4–1.5 log units (δ-MnO2. Recently published KSC values validate the predictive equation developed for the first and second hydrolysis products of thorium. A data base of p*Kint values is presented in which the variability in pKa2int values are removed and missing values estimated.
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