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Leaching data were verified and complemented using chemical equilibrium calculations.
Measured and simulated leaching data were then compared.
It was also intended to further develop mathematical modelling of leaching data to support the development of harmonized assessment procedures.
From the leaching data the apparent diffusivity of cobalt, cesium, and strontium in the cement-bentonite matrix was measured.
Multiple linear regression models describing the variation in leaching data had R2 values ranging from 61 97%.
It has to be considered that leaching processes also depend on the actual composition of the test specimens when experimental leaching data are used to derive leaching characteristics.
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However, because of the complexity and harshness of leaching process, data can only be collected sparsely, which results in data deficiency in the modeling process.
Concentration and leaching loss data for samples taken at the stream weir have also been presented by Cooper et al. (1987), Cooper and Thomsen (1988) and Dyck et al. (1987) (Additional file 1: Table S2).
Special focus is laid on different strategies that can be applied to use leaching test data for regulation processes and on the gaps, that should be filled in the future to have a profound base of knowledge for decision-making.
Results for RDDs below the 90th percentile were similar across the different leaching rates (data not shown).
Copper loading estimates over the course of the paint life cycle were made by combining leach rate data and cleaning data.
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