This paper describes the methodology we have developed to define a sampling strategy adapted to operational constraints in order to characterize the dihydrogen flow rate of 2714 nuclear waste drums produced by radiolysis reaction of organic mixed with \α-emitters. The objective was to perform few but relevant measurements. Thus, a sample of only 38 drums has been selected to be measured. Statistical analysis of drum measurement data of dihydrogen rate provided an estimation of the mean and the upper bound of the physical quantity of interest which gave a good convergence with global measurements from the ventilation system of the facility. Thereafter, performing a factorial data analysis has demonstrated the representativeness of the measurement data set and the sampling strategy assumption validity. Moreover, it provided information that has been used for a regression analysis to develop a linear prediction model of dihydrogen flow rate production for the waste drum characterization.

中文翻译：

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放射性废物表征的采样策略和统计分析

本文描述了我们开发的方法，用于定义适应操作约束的采样策略，以表征由与α-发射体混合的有机物的辐射分解反应产生的 2714 个核废料桶的双氢流速。目标是执行很少但相关的测量。因此，仅选择了 38 个鼓的样品进行测量。对双氢速率的鼓测量数据的统计分析提供了对感兴趣的物理量的平均值和上限的估计，这与来自设施通风系统的全局测量结果具有良好的收敛性。此后，进行因子数据分析证明了测量数据集的代表性和抽样策略假设的有效性。而且，