Validation of Transfer Functions Predicting Cd and Pb Free Metal Ion Activity in Soil Solution as a Function of Soil Characteristics and Reactive Metal Content

Pampura, Tatiana; Groenenberg, J.E.; Lofts, Stephen; Priputina, Irina

doi:10.1007/s11270-007-9410-4

Cited by 21 publications

(11 citation statements)

References 28 publications

(25 reference statements)

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“…Root Mean Square Residuals (RMSR) were 0.13 log unit for Cd 2+ , 0.23 log unit for Cu 2+ , 0.20 log unit for Ni 2+ , and 0.08 log unit for Zn 2+ . These results are in good agreement with the quality of model predictions for these metals obtained by using Model VI and the NICA model in other studies (Pampura et al, 2006(Pampura et al, , 2007Weng et al, 2002). Furthermore, our model predictions of the free metal concentrations again support the importance of humic DOM in controlling the solubility of metals in soil solution extracts.…”

Section: Trace Metal Speciation Predictionssupporting

confidence: 91%

Effects of soil oven-drying on concentrations and speciation of trace metals and dissolved organic matter in soil solution extracts of sandy soils

Koopmans

Groenenberg

2011

Geoderma

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Section: Trace Metal Speciation Predictionssupporting

confidence: 91%

Effects of soil oven-drying on concentrations and speciation of trace metals and dissolved organic matter in soil solution extracts of sandy soils

Koopmans

Groenenberg

2011

Geoderma

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“…We used data from Weng et al . (2001b) for 32 of the 49 samples of dataset NL1, Pampura et al . (2006, 2007), including O and B horizons of forest soils, Koopmans et al .…”

Section: Resultsmentioning

confidence: 99%

“…Apparently there was no great effect on the quality of the prediction resulting from the different methods applied, i.e. copper ion‐ selective electrodes (Sauvé et al ., 1997b; Vulkan et al ., 2000; Murányi et al ., 2003) and DMT (Weng et al ., 2001b; Pampura et al ., 2006, 2007). Some points (9 out of 302 of measured Cu FMI activity) showed a larger deviation (≫ 1).…”

Section: Resultsmentioning

confidence: 99%

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

Groenenberg

Römkens

Comans

et al. 2010

European J Soil Science

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111

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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 HNO 3 rather than the total metal content resulted in a close correlation with measured data, particularly for nickel and zinc.

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“…Soil solution speciation was estimated with WHAM‐VI software (Tipping, 1998). According to previous studies (Tipping et al , 2003; Pampura et al , 2007; Buekers et al , 2008), dissolved organic matter was assumed to contain 50% carbon comprising 65% of active fulvic acids (FA). Equilibrium with atmospheric CO 2 was assumed.…”

Section: Methodsmentioning

confidence: 99%

Modelling trace metal extractability and solubility in French forest soils by using soil properties

Gandois

Probst

Dumat

2010

European J Soil Science

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Soil/solution partitioning of trace metals (TM: Cd, Co, Cr, Cu, Ni, Sb, Pb and Zn) has been investigated in six French forest sites that have been subjected to TM atmospheric inputs. Soil profiles have been sampled and analysed for major soil properties, and CaCl2‐extractable and total metal content. Metal concentrations (expressed on a molar basis) in soil (total), in CaCl2 extracts and soil solution collected monthly from fresh soil by centrifugation, were in the order: Cr > Zn > Ni > Cu > Pb > Co > Sb > Cd , Zn > Cu > Pb = Ni > Co > Cd > Cr and Zn > Ni > Cu > Pb > Co > Cr > Cd > Sb , respectively. Metal extractability and solubility were predicted by using soil properties. Soil pH was the most significant property in predicting metal partitioning, but TM behaviour differed between acid and non‐acid soils. TM extractability was predicted significantly by soil pH for pH < 6, and by soil pH and Fe content for all soil conditions. Total metal concentration in soil solution was predicted well by soil pH and organic carbon content for Cd, Co, Cr, Ni and Zn, by Fe content for Cu, Cr, Ni, Pb and Sb and total soil metal content for Cu, Cr, Ni, Pb and Sb, with a better prediction for acidic conditions (pH < 6). At more alkaline pH conditions, solute concentrations of Cu, Cr, Sb and Pb were larger than predicted by the pH relationship, as a consequence of association with Fe colloids and complexing with dissolved organic carbon. Metal speciation in soil solutions determined by WHAM‐VI indicated that free metal ion (FMI) concentration was significantly related to soil pH for all pH conditions. The FMI concentrations of Cu and Zn were well predicted by pH alone, Pb by pH and Fe content and Cd, Co and Ni by soil pH and organic carbon content. Differences between soluble total metal and FMI concentrations were particularly large for pH < 6. This should be taken into account for risk and critical load assessment in the case of terrestrial ecosystems.

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Validation of Transfer Functions Predicting Cd and Pb Free Metal Ion Activity in Soil Solution as a Function of Soil Characteristics and Reactive Metal Content

Cited by 21 publications

References 28 publications

Effects of soil oven-drying on concentrations and speciation of trace metals and dissolved organic matter in soil solution extracts of sandy soils

Effects of soil oven-drying on concentrations and speciation of trace metals and dissolved organic matter in soil solution extracts of sandy soils

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

Modelling trace metal extractability and solubility in French forest soils by using soil properties

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