Institut de Radioprotection et de Sûreté Nucléaire, IRSN, PSE-ENV, SRTE, LRTA, Cadarache, France.
Institut de Radioprotection et de Sûreté Nucléaire, IRSN, PSE-ENV, SEREN, LEREN, Cadarache, France.
J Environ Radioact. 2022 Feb;242:106770. doi: 10.1016/j.jenvrad.2021.106770. Epub 2021 Dec 3.
This paper compares the Morris, Spearman and Sobol' methods of sensitivity analysis in radiological risk assessment. The determination of the most influential parameters on model with regards to the propagation of their uncertainties to output variables, is of greatest interest. This study aims to determine the relative importance of parameters uncertainties on the dose calculation uncertainty in the framework of a scenario of routine discharges discussed in the context of an IAEA working group. The scenario considers atmospheric and liquid discharges of three different types of radionuclides (C, tritium as HTO and Ag) from a nuclear power plant located by the side of a river. It is concluded that the most reliable and practical method according to the ability of ranking influential parameters and the easiness of its application is the Spearman method. As key result, the three first influential variables for annual total dose for all pathways and all radionuclides were the water dissolved inorganic carbon concentration, the volatilisation rate constant and the soil layer solid liquid distribution in C.
本文比较了 Morris、Spearman 和 Sobol' 方法在放射风险评估中的敏感性分析。最感兴趣的是确定模型中对输出变量不确定性传播影响最大的参数。本研究旨在确定参数不确定性对剂量计算不确定性的相对重要性,该剂量计算不确定性是在原子能机构工作组讨论的例行排放情景框架内确定的。该情景考虑了位于河边的核电站的三种不同类型的放射性核素(C、氚作为 HTO 和 Ag)的大气和液体排放。结论是,根据排名影响参数的能力和应用的简便性,最可靠和实用的方法是 Spearman 方法。作为关键结果,所有途径和所有放射性核素的年总剂量的三个最有影响的变量是水溶解无机碳浓度、挥发速率常数和 C 中的土壤层固液分布。