Laboratoire de Chimie Analytique Bio-Inorganique et Environnement (LCABIE), Université de Pau et des Pays de l'Adour/CNRS, UMR 5254, IPREM, Hélioparc, 2 Avenue du Président Angot, 64053 Pau Cedex 9, France; Andra, Research and Development Division, Parc de la Croix Blanche, 1-7 rue Jean Monnet, 92298 Châtenay-Malabry Cedex, France.
Laboratoire de Chimie Analytique Bio-Inorganique et Environnement (LCABIE), Université de Pau et des Pays de l'Adour/CNRS, UMR 5254, IPREM, Hélioparc, 2 Avenue du Président Angot, 64053 Pau Cedex 9, France.
Sci Total Environ. 2016 Aug 15;562:280-288. doi: 10.1016/j.scitotenv.2016.03.207. Epub 2016 Apr 18.
A better understanding of selenium fate in soils at both short and long time scales is mandatory to consolidate risk assessment models relevant for managing both contamination and soil fertilization issues. The purpose of this study was thus to investigate Se retention processes and their kinetics by monitoring time-dependent distribution/speciation changes of both ambient and freshly added Se, in the form of stable enriched selenite-77, over a 2-years field experiment. This study clearly illustrates the complex reactivity of selenium in soil considering three methodologically defined fractions (i.e. soluble, exchangeable, organic). Time-dependent redistribution of Se-77 within solid-phases having different reactivity could be described as a combination of chemical and diffusion controlled processes leading to its stronger retention. Experimental data and their kinetic modeling evidenced that transfer towards less labile bearing phases are controlled by slow processes limiting the overall sorption of Se in soils. These results were used to estimate time needed for (77)Se to reach the distribution of naturally present selenium which may extend up to several decades. Ambient Se speciation accounted for 60% to 100% of unidentified species as function of soil type whereas (77)Se(IV) remained the more abundant species after 2-years field experiment. Modeling Se in the long-term without taking account these slow sorption kinetics would thus result in underestimation of Se retention. When using models based on Kd distribution coefficient, they should be at least reliant on ambient Se which is supposed to be at equilibrium.
为了巩固与管理污染和土壤施肥问题相关的风险评估模型,必须更深入地了解硒在土壤中的短期和长期命运。因此,本研究的目的是通过监测在 2 年田间实验过程中,以稳定的富硒亚硒酸盐形式添加的环境硒和新鲜硒的时间依赖性分布/形态变化,研究硒的保留过程及其动力学。
该研究清楚地说明了在考虑到三种方法上定义的分数(即可溶性、可交换性、有机)的情况下,土壤中硒的复杂反应性。具有不同反应性的固相中硒-77 的时间依赖性再分配可以描述为化学和扩散控制过程的组合,导致其更强的保留。实验数据及其动力学模型表明,向更稳定的承载相的转移受到限制硒在土壤中整体吸附的缓慢过程的控制。这些结果用于估计(77)Se 达到天然存在硒的分布所需的时间,这可能需要几十年。
土壤类型的环境硒形态占未识别物种的 60%至 100%,而 2 年田间实验后,(77)Se(IV) 仍然是更丰富的物种。如果不考虑这些缓慢的吸附动力学,在长期内模拟硒,可能会导致对硒保留的低估。当使用基于 Kd 分配系数的模型时,它们至少应该依赖于假定处于平衡状态的环境硒。