Monte Luigi, Periañez Raul, Kivva Sergey, Laptev Gennady, Angeli Giacomo, Barros Haydn, Zheleznyak Mark
ENEA CR Casaccia, via P. Anguillarese, 301 cp 2400, 00100 Rome, Italy.
J Environ Radioact. 2006;88(3):267-88. doi: 10.1016/j.jenvrad.2006.02.006. Epub 2006 Apr 27.
The performances of models are assessed to predict the wash-off of radionuclides from contaminated flooded areas. This process should be accounted for in the proper management of the aftermath of a nuclear accident. The contamination of the Pripyat River water following the inundation of a floodplain heavily contaminated by (90)Sr and (137)Cs of Chernobyl origin is used as the basis for modelling. The available experimental evidence demonstrated that remobilisation of radiostrontium is an important process implying a significant secondary radioactive load of water flowing over the contaminated floodplain. On the contrary, there is no empirical evidence of a similar behaviour for radiocaesium. In general, state-of-the-art models properly predicted the remobilisation of strontium, whereas they significantly overestimated radiocaesium concentrations in water. The necessary model improvements for a more accurate prediction of radiocaesium contamination levels include a reassessment of the values of the model parameters controlling the remobilisation process.
对模型的性能进行评估，以预测放射性核素从受污染的洪水泛滥地区的冲刷情况。在核事故后果的妥善管理中应考虑这一过程。以切尔诺贝利事故中受（90）Sr和（137）Cs严重污染的泛滥平原被淹没后普里皮亚季河水的污染情况为基础进行建模。现有实验证据表明，放射性锶的再迁移是一个重要过程，这意味着流经受污染泛滥平原的水会产生大量的二次放射性负荷。相反，没有经验证据表明放射性铯有类似行为。总体而言，现有模型正确地预测了锶的再迁移，而它们显著高估了水中放射性铯的浓度。为更准确地预测放射性铯污染水平而对模型进行必要改进，包括重新评估控制再迁移过程的模型参数值。
