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-treated column study of Hanford 300 area sediment using a simple ion exchange and immobile domain modelSaito, Tatsuo; Sato, Kazuhiko; Yamazawa, Hiromi*
Journal of Environmental Radioactivity, 237, p.106708_1 - 106708_9, 2021/10
Times Cited Count：2 Percentile：8.37(Environmental Sciences)We succeeded at numerical reproduction of dissolved U concentrations from column experiments with PO-treated Hanford 300 Area sediment. The time-series curves of dissolved U concentrations under various Darcy flow rate conditions were reproduced by the numerical model in the present study through optimization of the following parameters:(i) the mass of U in mobile domain (on surface soil connected to the stream) and the rest of the total U left as precipitation in immobile domain (isolated in deep soil);(ii) the mixing ratio between immobile and mobile domains, to fit the final recovering curve of concentration; and (iii) the cation exchange capacity (CEC
) and equilibrium constant (k) of the exchange reaction of UO
and H
on simulated soil surface (
), to fit the transient equilibrium concentration, forming the bed of the bathtub curve.
I released from HanfordThiessen, K. M.*; Napier, B. A.*; Filistovic, V.*; Homma, Toshimitsu; Kany
r, B*; Krajewski, P.*; Kryshev, A. I.*; Nedveckaite, T.*; N
nyei, A.*; Sazykina, T. G.*; et al.
Journal of Environmental Radioactivity, 84(2), p.211 - 224, 2005/00
Times Cited Count：9 Percentile：21.02(Environmental Sciences)The Hanford test scenario described an accidental release of I to the environment from the Hanford Purex Chemical Separations Plant in September 1963. Based on monitoring data collected after the release, this scenario was used by the Dose Reconstruction Working Group of BIOMASS. Predicted doses to actual children with high milk consumption ranged from 0.006 to 2 mSv. The predicted deposition at any given location varied among participants by a factor of 5 to 80. Predicted ingestion doses for children, normalized for predicted deposition, varied by about a factor of 10. The exercise provided an opportunity for comparison of assessment methods and conceptual approaches, testing model predictions against measurements, and identifying the most important contributors to uncertainty in the assessment result. Key factors affecting predictions included the approach to handling incomplete data, interpretation of input information, selection of parameter values, adjustment of models for sitespecific conditions, and treatment of uncertainties.
Thiessen, K. M.*; Napier, B. A.*; Filistovic, V.*; Homma, Toshimitsu; Kanyr, B*; Krajewski, P.*; Kryshev, A. I.*; Nedveckaite, T.*; Nnyei, A.*; Sazykina, T. G.*; et al.
Proceedings from the International Conference on Radioactivity in the Environment, p.313 - 316, 2002/09
no abstracts in English
