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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

机译:土壤中镉,铜,镍,铅锌和锌的固溶分配转移功能:使用独立数据的游离金属离子活动的关系的推导

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摘要

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.
机译:用于预测痕量金属的固溶分配的模型是风险评估中的重要工具,提供有关金属生物可用性的信息及其浸出。迄今为止的经验基于模型,或转移函数在其数学模型,优化方法,用于确定固体和溶液相中的金属浓度的方法不同,土壤性质占了。在这里,我们在衍生我们自己的转移功能之前审查这些方法论方面,所述传递函数将自由金属离子活性与固相中的反应金属含量相关联。一项功能能够预测通过各种土壤溶液提取方法估计的自由金属离子活性。评价数学制剂的评价表明,传递函数衍生以优化Freundlich吸附常数(KF),与衍生以优化固体或溶液浓度的函数,最适合于从固相浓度的溶液中预测浓度,反之亦然。该模型在大量独立数据的基础上示出了通常适用于预测的游离金属活动在一个观察的一个阶数。该模型仅在pH高于7的pH下的过度级别的无金属离子活性。使用0.43M HNO3而不是总金属含量测量的反应性金属含量导致与测量数据保持紧密相关,特别是对于Ni和Zn。

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