2017
DOI: 10.1016/j.chemosphere.2017.08.115
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Smart Kd-values, their uncertainties and sensitivities - Applying a new approach for realistic distribution coefficients in geochemical modeling of complex systems

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Cited by 27 publications
(18 citation statements)
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“…77,78 The combination of such statistical 29,39 and (the presented) spectroscopy strategies will strengthen predictive modelling of the long-term behaviour of elements of interest, including moving toward "smart" K D values. 79,80 Such predictive modelling can assist with extrapolating results from elevated concentrations (required for EXAFS analyses) to more environmentally relevant/trace concentrations. We suggest that the presented information on the Sr and Cs speciation within a composite clayey soil (including the complete results from the adsorption experiments at trace and elevated concentrations on these solids, Fig.…”
Section: Discussionmentioning
confidence: 99%
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“…77,78 The combination of such statistical 29,39 and (the presented) spectroscopy strategies will strengthen predictive modelling of the long-term behaviour of elements of interest, including moving toward "smart" K D values. 79,80 Such predictive modelling can assist with extrapolating results from elevated concentrations (required for EXAFS analyses) to more environmentally relevant/trace concentrations. We suggest that the presented information on the Sr and Cs speciation within a composite clayey soil (including the complete results from the adsorption experiments at trace and elevated concentrations on these solids, Fig.…”
Section: Discussionmentioning
confidence: 99%
“…Such (evidence-based) modelling efforts will enable Please do not adjust margins Please do not adjust margins predicting the long-term behaviour of Sr and Cs at a wide range of concentrations, and enable predicting the impacts of any environmental engineering strategies at contaminated legacy sites. 80,81 Such predictive modelling is essential in the design of evidence-based engineering strategies for the remediation and long-term management of contaminated (legacy) sites. 19…”
Section: Discussionmentioning
confidence: 99%
“…Currently, UNiSeCs II is being applied for calculating look-up tables of distribution coefficients similar to the "smart K d " concept [66], containing values for possible combinations of the relevant soil parameters. Within the ongoing joint project Trans-LARA, these tables are intended to be used for hydrological simulations of radionuclide migration from groundwater to the upper soil horizon and also for biosphere simulations with Ecolego [1] to estimate the radiation burden of the human population after the contamination of agricultural soils.…”
Section: Discussionmentioning
confidence: 99%
“…The varying mineralogy of the Opalinus Clay is implemented in the simulations with a bottom-up approach [27,28]. The amount of sorption of contaminants in heterogeneous formations can be determined by the additive sorption on individual minerals.…”
Section: Integrating Sorption Processesmentioning
confidence: 99%
“…The distribution coefficient K d (m 3 /kg) is defined by the ratio between the amount of a species adsorbed on the solid phase and the amount present in the liquid phase. The K d is calculated in PHREEQC for each facies depending on the geochemical and mineralogical conditions following Stockmann et al [28]. In the literature, sorption of uranium on Opalinus Clay is commonly modeled using only the clay minerals illite and montmorillonite [32][33][34][35].…”
Section: Integrating Sorption Processesmentioning
confidence: 99%