Nuclear Safety Institute of the Russian Academy of Sciences, 52, Bolshaya Tulskaya, 115191 Moscow, Russia.
Nuclear Safety Institute of the Russian Academy of Sciences, 52, Bolshaya Tulskaya, 115191 Moscow, Russia.
J Contam Hydrol. 2023 May;256:104172. doi: 10.1016/j.jconhyd.2023.104172. Epub 2023 Mar 21.
This article focuses on modeling Sr migration in strong nitrate solutions in aquifers used for radioactive waste disposal. This type of radioactive waste disposal is typical only for the Russian Federation and is a unique object of study. The calculations are based on the laboratory study of strontium sorption in nitrate solutions on sandy, loamy and clayey rocks under biotic (with natural microbial communities obtained from Seversky repository) and abiotic conditions. To obtain a strontium sorption model, first, an ion exchange model in PHREEQC software is fitted to the experimental data both manually and automatically (using MOUSE software). Since real nitrate-ion concentrations at radioactive waste injection sites can reach values of hundreds of grams per liter, strontium K values are predicted for high ionic strength (for which no experimental study of strontium sorption efficiency has been carried out) with PHREEQC-model. The strontium transport models accounting for sorption and the nitrate reduction processes have been developed using two numerical software packages: the GeRa 3D hydrogeological simulation code and the PHREEQC reactive transport code. Reactive transport modeling under different conditions shows a high sensitivity to dispersion. A significant effect of sorption of nitrate ion on Sr sorption is shown and a relatively small contribution of microbial processes to strontium transport is noted for liquid radioactive waste injection sites.
本文重点研究了用于放射性废物处置的含水层中强硝酸盐溶液中锶迁移的建模问题。这种放射性废物处置方法仅在俄罗斯联邦典型使用,是一个独特的研究对象。该计算基于在生物条件(从 Seversky 储存库获得的天然微生物群落)和非生物条件下,在沙质、粉质和粘质岩石上研究硝酸盐溶液中锶吸附的实验室研究。为了获得锶吸附模型,首先,在 PHREEQC 软件中手动和自动(使用 MOUSE 软件)拟合离子交换模型到实验数据。由于放射性废物注入点的真实硝酸盐离子浓度可达每升数百克,因此使用 PHREEQC 模型预测高离子强度下的锶 K 值(对此尚未进行锶吸附效率的实验研究)。使用两种数值软件包:GeRa 3D 水文地质模拟代码和 PHREEQC 反应性传输代码,开发了考虑吸附和硝酸盐还原过程的锶传输模型。在不同条件下的反应性传输建模对弥散度表现出高度敏感性。结果表明,硝酸盐离子对锶吸附的吸附具有显著影响,而微生物过程对液体放射性废物注入点的锶迁移的贡献相对较小。