Retention of iodide by the Callovo-Oxfordian formation: An experimental study

Montavon, Gilles; Sabatié-Gogová, Andrea; Ribet, Solange; Bailly, Céline; Bessaguet, Nicolas; Durce, Delphine; Giffaut, Éric; Landesman, Catherine; Grambow, Bernd

doi:10.1016/j.clay.2013.10.023

Cited by 15 publications

(14 citation statements)

References 18 publications

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“…In such rocks, the migration of cations is mainly driven by their adsorption on clay minerals (Melkior et al, 2007;Savoye et al, 2012;. On the contrary, inorganic anions display a poor affinity for clay surfaces and they are repelled from the pore surface leading to the well-established "anion exclusion" phenomena (Bazer-Bachi et al, 2007;Descostes et al, 2008;Frasca et al, 2012;Montavon et al, 2014). The behaviour of small organic anions was found to be intermediate between those of cations and inorganic anions (Dagnelie et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Diffusion of organic anions in clay-rich media: Retardation and effect of anion exclusion

et al. 2018

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The transport of emerging organic contaminants through the geosphere is often an environmental issue. The sorption of organic compounds slows their transport in soils and porous rocks and retardation is often assessed by extrapolation of batch experiments. However, transport experiments are preferable to strengthen migration data and modelling. In this context, we evaluated the adsorption of various organic acids by means of through-diffusion experiments in a sedimentary clay-rich rock (Callovo-Oxfordian, East of Paris Basin, France). A low diffusivity of organic anions was quantified with effective diffusion coefficients, D, ranged between 0.5 and 7 10 m s. These values indicated an organic anion exclusion. As for chloride, the porosity accessible to organic anions was lower than that of water: ε(organic anions) < ε(water). The partial exclusion of organic anions from rock porosity was linked to both charge and size effects. A significant retardation was observed for organic anions such as oxalate, citrate or α-isosaccharinate. Yet, retardation measured by diffusion experiments was significantly lower than expected from batch experiments on crushed samples. An empirical correction factor is proposed to account for a possible decrease of retardation with accessible porosity of diffusing solute. This feature has significant implications for the estimation of migration parameters of organic compounds in the environment.

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Section: Introductionmentioning

confidence: 99%

Diffusion of organic anions in clay-rich media: Retardation and effect of anion exclusion

et al. 2018

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“…Corresponding curves for iodine given in Montavon et al (2014) allowed deriving the corresponding migration parameters in Table 3. Here also a retention factor (K d ) needed to be considered, depending on sample between 0.14 and 0.01 L kg À1 .…”

Section: Resultsmentioning

confidence: 99%

“…Sorption of Iodine strongly increases the breakthrough times. Even the lowest experimentally measured K d of 0.01 mL g À1 (Table 3, (Montavon et al, 2014)) increases them to at least 500,000 years. After this very long time, maximum iodine concentrations in the human accessible environment are calculated to be thousands times lower than radiological thresholds.…”

Section: Discussionmentioning

confidence: 95%

Nuclear waste disposal: I. Laboratory simulation of repository properties

Grambow

Landesman

Ribet

2014

Applied Geochemistry

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“…It is usually assumed that early extracts closely resemble the in situ composition of the pore water. In addition, injection of tracers and the record of their breakthrough, or the elution of elements present initially in the sample, make it possible to derive a range of parameters for transport, adsorption/desorption, and dissolution/precipitation reactions using a reactive transport approach (Grambow et al 2014;Montavon et al 2014;Mäder and Waber 2017;Mäder 2018). Reactive transport modeling of advective displacement experiments have been carried out in a handful of studies with the consideration of the presence of a diffuse layer and the dual continuum model described in a previous section (Grambow et al 2014;Alt-Epping et al 2015, 2018.…”

Section: Beyond Diffusion Couplings With Advective Flow Advective DImentioning

confidence: 99%