Nuclear Science and Technology Development Center, National Tsing Hua University, Hsinchu 300, Taiwan.
J Hazard Mater. 2011 Sep 15;192(3):1079-87. doi: 10.1016/j.jhazmat.2011.06.012. Epub 2011 Jun 25.
A reliable performance assessment of radioactive waste repository depends on better knowledge of interactions between nuclides and geological substances. Numerical fitting of acquired experimental results by the surface complexation model enables us to interpret sorption behavior at molecular scale and thus to build a solid basis for simulation study. A lack of consensus on a standard set of assessment criteria (such as determination of sorption site concentration, reaction formula) during numerical fitting, on the other hand, makes lower case comparison between various studies difficult. In this study we explored the sorption of cesium to argillite by conducting experiments under different pH and solid/liquid ratio (s/l) with two specific initial Cs concentrations (100mg/L, 7.5 × 10(-4)mol/L and 0.01 mg/L, 7.5 × 10(-8)mol/L). After this, numerical fitting was performed, focusing on assessment criteria and their consequences. It was found that both ion exchange and electrostatic interactions governed Cs sorption on argillite. At higher initial Cs concentration the Cs sorption showed an increasing dependence on pH as the solid/liquid ratio was lowered. In contrast at trace Cs levels, the Cs sorption was neither s/l dependent nor pH sensitive. It is therefore proposed that ion exchange mechanism dominates Cs sorption when the concentration of surface sorption site exceeds that of Cs, whereas surface complexation is attributed to Cs uptake under alkaline environments. Numerical fitting was conducted using two different strategies to determine concentration of surface sorption sites: the clay model (based on the cation exchange capacity plus surface titration results) and the iron oxide model (where the concentration of sorption sites is proportional to the surface area of argillite). It was found that the clay model led to better fitting than the iron oxide model, which is attributed to more amenable sorption sites (two specific sorption sites along with larger site density) when using clay model. Moreover, increasing s/l ratio would produce more sorption sites, which helps to suppress the impact of heterogeneous surface on Cs sorption behavior under high pH environments.
放射性废物处置库的可靠性能评估取决于对核素与地质物质相互作用的更好了解。通过表面络合模型对获得的实验结果进行数值拟合,使我们能够在分子尺度上解释吸附行为,从而为模拟研究奠定坚实的基础。然而,在数值拟合过程中,对于评估标准(如吸附位浓度的确定、反应公式)缺乏共识,使得对不同研究之间进行小写比较变得困难。在这项研究中,我们通过在不同 pH 值和固液比 (s/l) 下进行实验,用两种特定的初始 Cs 浓度(100mg/L,7.5×10(-4)mol/L 和 0.01mg/L,7.5×10(-8)mol/L)来研究 Cs 在泥灰岩上的吸附。然后,我们进行了数值拟合,重点关注评估标准及其后果。结果表明,离子交换和静电相互作用共同控制着 Cs 在泥灰岩上的吸附。在较高的初始 Cs 浓度下,随着固液比的降低,Cs 吸附对 pH 的依赖性增加。相比之下,在痕量 Cs 水平下,Cs 吸附既不受 s/l 影响,也不受 pH 影响。因此,当表面吸附位的浓度超过 Cs 浓度时,离子交换机制主导 Cs 吸附,而在碱性环境下,表面络合被归因于 Cs 的摄取。数值拟合使用两种不同的策略来确定表面吸附位的浓度:粘土模型(基于阳离子交换容量和表面滴定结果)和氧化铁模型(其中吸附位的浓度与泥灰岩的表面积成正比)。结果表明,粘土模型的拟合效果优于氧化铁模型,这归因于在使用粘土模型时,具有更多的可吸附位(两个特定的吸附位和更大的位密度)。此外,增加 s/l 比会产生更多的吸附位,有助于在高 pH 环境下抑制异质表面对 Cs 吸附行为的影响。