Effectiveness of fused LASSO for prediction of distribution of radioactive materials in reactor buildings

Yamada, Susumu; Yoshida, Toru*; Hasegawa, Yukihiro*; Machida, Masahiko

Proceedings of Waste Management Symposia 2024 (WM2024) (Internet), 15 Pages, 2024/03

In order to safely carry out the decommission of reactor buildings, it is extremely important to identify the radiation source distribution. It has been reported that when the structural model of the building is constructed by uniform cells, the source distribution can be estimated from the measured air dose rates by minimizing an evaluation function using the Least Absolute Shrinkage and Selection Operator (LASSO). Moreover, if cells are non-uniform, we can estimate the distribution using the fused LASSO which minimizes the evaluation function that takes account of the connectivity between the adjacent cells. However, when a group of some cells is considered disconnected from the surrounding ones due to the precision of the measured structural data, the concentration of the group can be singularly high. Therefore, in order to avoid the problem, we propose a new evaluation function that can prevent the singularity. We estimated the distribution for the test model using the proposed evaluation function and confirmed the validity of the function. Moreover, we succeeded in estimating the source distribution in the pool canal circulation system room in JMTR in the Japan Atomic Energy Agency by the fused LASSO for the new function more accurately than previous analysis.

Introduction of a laser rust removal device for radioactive waste containers at the NSRI

Suda, Shoya; Kosuge, Atsushi; Kisohara, Naoyuki; Fujii, Mitsuki; Masai, Seita; Iseda, Hirokatsu; Minehara, Eisuke*

no journal, , 

Status of development and demonstration of radiation measurement techniques

Sato, Yuki

no journal, , 

At the Waste Management Conference 2024, the development of radiation measurement technology conducted by the CLADS Advanced Radiation Measurement and Analysis Research Group will be presented, with a focus on those that have been demonstrated at the Fukushima Daiichi Nuclear Power Station.