首页> 外文期刊>Journal of Environmental Radioactivity >Assessment of state-of-the-art models for predicting the remobilisation of radionuclides following the flooding of heavily contaminated areas: the case of Pripyat River floodplain
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Assessment of state-of-the-art models for predicting the remobilisation of radionuclides following the flooding of heavily contaminated areas: the case of Pripyat River floodplain

机译:评估预测重度污染地区洪水后放射性核素迁移的最新模型:普里皮亚季河漫滩

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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.
机译:评估模型的性能,以预测放射性核素从受污染的洪灾区的冲刷。在正确处理核事故后果后,应考虑到这一过程。洪泛区被切尔诺贝利起源的〜(90)Sr和〜(137)Cs严重污染后,普里皮亚季河水的污染被用作建模的基础。现有的实验证据表明,放射性锶的迁移是一个重要的过程,意味着流经受污染的洪泛区的水会有大量的二次放射性负荷。相反,没有经验证据表明放射性铯具有类似的行为。通常,最新模型可以正确预测锶的迁移,而它们却大大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进行的必要模型改进包括对控制复员过程的模型参数值的重新评估。

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