2017
DOI: 10.1016/j.apgeochem.2017.02.004
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Modeling metal ion-humic substances complexation in highly saline conditions

Abstract: International audienceBecause highly saline groundwaters are found at potential repository sites for nuclear waste, geochemical models should predict the speciation of relevant radionuclides in brines, including their complexation with substances such as humic acids (HA). In this study, available experimental radionuclide-HA complexation data in high 1:1 background electrolyte solutions (0.01 < mNaCl/NO3/ClO4mNaCl/NO3/ClO4 < 4 molal, m) are reviewed. Discrepancies in the amplitude of ionic strength effects on … Show more

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Cited by 21 publications
(12 citation statements)
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“…In agreement with the preliminary work of Carbonaro and Di Toro (2007), in which only three REE were studied, linear equations involving an intercept provided the best prediction of REEmonodentate ligands binding, confirming that both inner-and outer-sphere complexation contribute to REE-monodentate ligand complexation (Choppin, 1997;Carbonaro and Di Toro, 2007). Derived shown to model accurately the effect of high ionic strengths (Marsac et al, 2017), REE patterns could also be predicted in highly saline waters. Finally, Model VII can also predict REE-HA binding patterns in the presence of ligands such as carbonates, although further work is required in order to account for the formation of (i) ternary carbonate-REE-HA complexes for the whole REE group and…”
Section: Discussionsupporting
confidence: 83%
See 2 more Smart Citations
“…In agreement with the preliminary work of Carbonaro and Di Toro (2007), in which only three REE were studied, linear equations involving an intercept provided the best prediction of REEmonodentate ligands binding, confirming that both inner-and outer-sphere complexation contribute to REE-monodentate ligand complexation (Choppin, 1997;Carbonaro and Di Toro, 2007). Derived shown to model accurately the effect of high ionic strengths (Marsac et al, 2017), REE patterns could also be predicted in highly saline waters. Finally, Model VII can also predict REE-HA binding patterns in the presence of ligands such as carbonates, although further work is required in order to account for the formation of (i) ternary carbonate-REE-HA complexes for the whole REE group and…”
Section: Discussionsupporting
confidence: 83%
“…A thorough description of Model VII can be found in Tipping et al (2011), and its implementation in PHREEQC is described in Marsac et al (2017…”
Section: Model VIImentioning
confidence: 99%
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“…(2) the model predictions agree well with the results of ultrafiltration experiments; and (3) sensitivity analysis indicates that the model correctly predicts the impact of changing ionic strength and competing cations (i.e., Fe 3+ , Al 3+ ) on REE complexation with natural organic ligands (Tang and Johannesson, 2003;Pourret et al, 2007;Marsac et al, 2017).…”
Section: Solution Complexation Modelsupporting
confidence: 57%
“…Indeed, illite is the most important adsorbent for radionuclides in OPA and COx [43]. PHREEQC can perform aqueous speciation calculations under dilute to highly saline conditions with SIT, and has previously been applied in surface complexation modeling studies at various ionic strengths [44][45][46]. The 2-site protolysis non-electrostatic surface complexation and cation exchange model (2SPNE SC/CE model [47]) was used to simulate Np sorption to illite.…”
Section: Surface Complexation Modelingmentioning
confidence: 99%