Journal of Nuclear Fuel Cycle and Environment
Online ISSN : 2186-7135
Print ISSN : 1884-7579
ISSN-L : 1343-4446
Volume 24, Issue 2
Displaying 1-1 of 1 articles from this issue
Research Article
  • Yukio TACHI, Tadahiro SUYAMA, Sanae SHIBUTANI
    2017 Volume 24 Issue 2 Pages 109-134
    Published: December 01, 2017
    Released on J-STAGE: January 12, 2018
    JOURNAL FREE ACCESS

      Sorption of radionuclides on host rocks is a key process in the safe geological disposal of radioactive waste. For performance assessment (PA) calculations, the magnitude of sorption, expressed normally by a distribution coefficient (Kd), needs to be determined taking into account the rock types and geochemical conditions and associated uncertainty. The Kd setting approach is needed to apply for various rock types and geochemical conditions, and to evolve from site-generic to site-specific stages by considering site-specific information obtained in forthcoming site investigation stage. Such comprehensive Kd setting approach applicable for various conditions and situations was developed based on international state of the art knowledge by integrating three different methods; i) direct use of measured Kd data extracted from the sorption database, ii) transferring procedures by scaling differences between experimental and PA conditions, and iii) thermodynamic sorption models. This integrated approach was tested for crystalline host rock (granitic rock) by comparing example derivation of Kd values and their uncertainties of Cs and Am by the three different methods. The results indicated that the integrated Kd setting approach is effective, and that Kd can be quantitatively evaluated by all approaches when adequate data and models are available. The Kd dataset for key safety-relevant 25 elements in PA calculation for generic granitic rocks was developed based on the direct use of measured data, and compared with the recent Kd dataset in European PA projects. This Kd setting approach allows to estimate the Kd values and their uncertainties for various rock types and geochemical conditions in accordance with the amount of site-specific information in a stepwise manner.

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