[2A16-19] Waste Management 3

[2A18] A Study of Statistical Planning Method for Analysis Consistent with the Characteristics of the Fukushima Daiichi NPS Wastes

(3)Study on analysis planning for the sludge generated from the decontamination device

*Anna Nagai^1,2, Takuma Horita^1,2, Maya Akimoto^1,2, Keiichi Ohki^1,2, Caroline Pyke³, Peter Hiller³, Yoshikazu Koma^1,2 (1. JAEA, 2. IRID, 3. National Nuclear Laboratory Limited)

Keywords:Data Quality Objectives Process, Bayesian Inference, Fukushima Daiichi Nuclear Power Station, Radioactive Waste, Decontamination Device, Sludge

We investigated the planning method for analysis consistent with the characteristics of the Fukushima Daiichi NPS Wastes (1F wastes), and suggested that the method combining the Data Quality Objectives (DQO) process and the Bayesian inference, is effective. To investigate the usefulness of the method, it was applied to the study of the analysis plan for 1F wastes. In this study, we assume the case of disposal of the sludge generated from the decontamination device, and discussed for the method with the objective of understanding the properties necessary for disposal. The sludge was assumed that after dewatering temporarily stored and then stabilization and sample size calculated considering the change in population due to the dewatering. We report on the study on analysis planning for the sludge generated from the decontamination device using the DQO process and the Bayesian inference.