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Validation of a fuel particle dissolution model with samples from the Red Forest within the Chernobyl exclusion zone.
Journal of Environmental Radioactivity ( IF 2.3 ) Pub Date : 2020-08-28 , DOI: 10.1016/j.jenvrad.2020.106387
V Kashparov 1 , B Salbu 1 , C Simonucci 2 , S Levchuk 3 , E Reinoso-Maset 4 , O C Lind 4 , I Maloshtan 3 , V Protsak 3 , C Courbet 5 , H Nguyen 6
Affiliation  

The contamination in the near exclusion zone of the Chernobyl nuclear power plant (ChNPP) with 90Sr, 238-240Pu and 241Am is associated with irradiated nuclear fuel particles. Fit for purpose models enabling long term prediction of mobility and bioavailability of particle-associated radionuclides are crucial for radiation protection of humans and the environment, as well as for planning of remediation measures and future land use. In the present work, a dynamic fuel particle dissolution model developed in 1999–2002 is described and validated using data based on sampling in 2015. The model is based on the characterization of the radionuclide source term of the waste in a shallow sub-surface radioactive waste storage, trench #22, in the Chernobyl Pilot Site (CPS) located in the Red Forest, 2.5 km west of the ChNPP, as well as the description of physical and chemical properties of the fuel particles and subsequent radionuclide leaching into the soil solution. Transformation rate constants of the fuel particle dissolution model related to topsoil, radioactive waste trench and submerged materials, and drained cooling pond sediments, should largely control the mobility and bioavailability of radionuclides (e.g., solubility in the soil, migration to groundwater and transfer to plants). The predicting power of the Chernobyl fuel particle dissolution model with respect to radionuclide leaching dynamics was validated using samples from the same experimental site, showing that predicted particle leaching and subsequent mobility and bioavailability were within 46 ± 3% of the observed data. Therefore, linking source- and release-scenario dependent characteristics of radioactive particles to their potential weathering can provide information that can be implemented in impact assessments models for existing contaminated areas as well as for future events.



中文翻译:

切尔诺贝利禁区内的红森林样本对燃料颗粒溶解模型的验证。

切尔诺贝利核电站(ChNPP)附近禁区的污染物为90 Sr,238-240 Pu和241Am与辐射的核燃料颗粒有关。适合用途的模型能够长期预测与颗粒相关的放射性核素的迁移率和生物利用度,这对保护人类和环境的辐射以及补救措施和未来土地使用的规划至关重要。在当前的工作中,描述了1999-2002年开发的动态燃料颗粒溶解模型,并使用2015年基于采样的数据进行了验证。该模型基于浅地下次放射性废物的放射性核素源项的表征位于ChNPP以西2.5公里的红森林切尔诺贝利试验场(CPS)的22号沟中的废物存储,以及燃料颗粒的物理和化学性质以及随后放射性核素浸入土壤溶液的描述。与表土,放射性废物沟和淹没材料以及冷却池排干水有关的燃料颗粒溶解模型的转化率常数应在很大程度上控制放射性核素的迁移率和生物利用度(例如,在土壤中的溶解度,向地下水的迁移以及向植物的转移) )。切尔诺贝利燃料颗粒溶解模型相对于放射性核素浸出动力学的预测能力已使用来自同一实验地点的样品进行了验证,表明预测的颗粒浸出以及随后的迁移率和生物利用度在观测数据的46±3%之内。因此,

更新日期:2020-08-28
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