[2A16-19] Waste Management 3

[2A19] A Study of Statistical Planning Method for Analysis Consistent with the Characteristics of the Fukushima Daiichi NPS Wastes

(4)Study on analysis planning for the rubble from the reactor buildings

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

Keywords:Data Quality Objectives Process, Bayesian Inference, Fukushima Daiichi Nuclear Power Station, Radioactive Waste, Reactor Building, Rubble

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, which is widely adopted in environmental remediation, and the Bayesian inference, is effective. To evaluate the applicability of the method to the 1F waste, we tried to apply the method by setting the objective to classify rubble, which has large individual differences and diverse properties. In this study, we calculated the sample size required to determine the classification by difference of contamination by alpha nuclides for the rubble collected from the reactor buildings. We report on analysis planning for the rubble from the reactor buildings using the DQO process and the Bayesian inference.