Distribution coefficients, also known as Kd values, are lumped parameters that contain information about the radionuclude-soil/rock interaction processes. These values are of paramount importance in performance assessment studies of nuclear waste repositories as they are used to predict the fate and migration of radionuclides in the near and far field. In this post, we present a novel numerical tool that provides a sound basis for the calculation of “intelligent” radionuclides Kd values.
In performance assessment (PA) studies of nuclear waste repositories, numerical simulations are used to study the potential impact of the release and transport of radionuclides in the near and far field. These simulations are typically carried out using a lumped approach: the different and highly non-linear underlying radionuclide retention processes are represented by a single parameter, the distribution coefficient (Kd), which relates the radionuclide mass retained in the solid phase to its aqueous concentration.
Kd-based simulations, which are particularly appealing due to their numerical efficiency, are mathematically robust but usually rely on an important assumption: the Kd value of each radionuclide is constant in time. This assumption could be critical when geochemical conditions are changing dramatically (e.g. in the transition from temperate to glacial conditions), as distribution coefficients depend on the pH, redox conditions and major chemistry of the system.
We have recently developed and tested a framework (interface to Marfa - iFM) that constitutes a significant improvement over the traditional constant Kd-based models. The basic premise of this approach is that the “background” geochemistry (excluding radionuclides) is first be pre-calculated using a reactive transport code in order to generate a dataset of Kd values in space and time that are representative of the actual geochemical conditions in the considered spatial and temporal domain. This information is then used by the computer code Migration Analysis of Radionuclides in the Far Field (MARFA) [1,2] to calculate radionuclide transport based on these “intelligent” Kd values.
Sketch showing a typical radionuclide transport problem. Radionuclides, which are released at repository depth, move along a number of transport pathways and are discharged into the biosphere.
The figure below shows a workflow of iFM v2.0.
Functionality overview of iFM v2.0.
The numerical tool consists of two sets of numerical calculations:
To test the robustness of the tool, we have solved a “typical" radionuclide waste performance assessment (PA) problem: the simulation of the migration of radionuclides from a deep geological repository to the surface.
A snapshot of a groundwater velocity field has been taken from an existing regional-scale three-dimensional hydrogeological model. Using particle tracking simulations, a number of transport pathways have been delineated.
Radionuclides have been released during a small time interval compared to the time frame of the problem. Initially, glacial conditions are assumed to prevail in the whole domain. After around 20,000 years, a different and less diluted water, representative of new temperate conditions, enters the model domain from the release boundary and propagates undisturbed along the streamlines.
The numerical exercises have been solved using (1) iFM+MARFA (see Figure below) and (2) FASTREACT.
Sketch that shows the approach and the different processes included in the iFM+MARFA simulations.
The strontium breakthrough curves computed using iFM+MARFA and FASTREACT are shown in the Figure below. When strontium is overtaken by the geochemical perturbation, it is mobilized and moves nearly unretarded. Both simulations capture this effect and their results closely match each other. Thus, the verification exercise can be considered successful.
Calculated breakthrough curve for strontium (iFM+MARFA: blue solid line; FASTREACT: orange dashed line).
Paolo Trinchero holds a PhD in Geosciences from the Technical University of Catalonia (Spain). Paolo’s areas of expertise include stochastic hydrology, geostatistics and numerical modelling. Paolo has several publications in peer reviewed journal and congress proceedings. He is currently senior consultant at Amphos21 where he deals with different projects related to subsurface flow and transport modelling.
 Painter, S., V. Cvetkovic, J.-O. Selroos, and O. Pensado. (2007). Time domain particle tracking methods for simulating transport with retention and first-order transformation. Water Resources Research 43(9), W01406.
 Painter, S., and Mancillas, J. (2013). MARFA User’s manual: migration analysis of radionuclides in the far field, Working Report 2013-01, Posiva Oy.
 Trinchero, P., Molinero, J., Román-Ross, G. (2013) A streamline-based approach for the solution of multicomponent reactive transport problems, SKB report R-10-45.
This work is a collaborative project between SKB and POSIVA, the organizations in charge of managing nuclear fuel and radioactive waste in Sweden and Finland, respectively. Amphos 21 and Scott Painter want to thank Lasse Koskinen (POSIVA) and Jan-Olof Selroos (SKB) for their support and very helpful comments.
Paolo Trinchero also wants to thank the coauthors of this work: Luis Manuel de Vries, Jorge Molinero and Scott Painter.