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Galeriu, D.*; Melintescu, A.*; Strack, S.*; Atarashi-Andoh, Mariko; Kim, S. B.*
Journal of Environmental Radioactivity, 118, p.40 - 56, 2013/04
Times Cited Count：38 Percentile：70.63(Environmental Sciences)Tritium transfer from atmosphere to plants and the subsequent conversion into organically bound tritium (OBT) strongly depends on the plant characteristics, seasons, and meteorological conditions, which have a large variability. This review presents an overview of relevant experimental data for many plants including wheat, rice, and soybean during short-term exposure. Tritiated water (HTO) uptake by plants during the daytime or nighttime has an important role in further OBT synthesis. OBT formation in crops depends on the development stage, length, and condition of exposure. OBT translocation to the edible plant parts differs between the crops analysed. The present study is a preliminary step for the development of a robust model of crop contamination after an HTO accidental release.
Koarashi, Jun; Davis, P. A.*; Galeriu, D.*; Melintescu, A.*; Saito, Masahiro*; Siclet, F.*; Uchida, Shigeo*
Journal of Environmental Radioactivity, 99(10), p.1671 - 1679, 2008/10
Times Cited Count：12 Percentile：27.67(Environmental Sciences)Carbon-14 (
C) is one of the most important radionuclides from the perspective of dose estimation due to the nuclear fuel cycle. Ten years of monitoring data on C in airborne emissions, in atmospheric CO
and in rice grain collected around the Tokai reprocessing plant (TRP) showed an insignificant radiological effect of the TRP-derived C on the public, but suggested a minor contribution of the TRP-derived C to atmospheric C concentrations, and an influence on C concentrations in rice grain at harvest. This paper also summarizes a modelling exercise (the so-called rice scenario of the IAEA's EMRAS program) in which C concentrations in air and rice predicted with various models were compared with observed concentrations. The modelling results showed that Gaussian plume models with different assumptions predict monthly-averaged C concentrations in air well and also that specific activity and dynamic models were equally good for the prediction of inter-annual changes in C concentrations in rice grain.
