Interference-free determination for long-lived radionuclides based on solid-phase extraction combined with ICP-MS/MS

Do, V. K.; Ota, Yuki; Banjarnahor, I. M.; Aita, Rena; Murakami, Erina; Homma, Shunta; Iwahashi, Hiroyuki; Furuse, Takahiro

no journal, , 

The Okuma Analysis and Research Center has been established to analyze the decommissioning wastes collected from Fukushima Daiichi Nuclear Power Plant (1F). Radioactive material analysis and research facility 1 (Laboratory-1) where analyses of the low and intermediate-level wastes are preliminarily tested has started the operation from October 2022. Among the selected radionuclides to be analyzed, long-lived radionuclides can be measured by inductively coupled plasma mass spectrometry, which offers more rapid measurement and higher sensitivity compared to radiometry. The modern configuration of tandem triple quadrupoles (called ICP-QQQ-MS or ICP-MS/MS) enables the effective control of interferences that can simplify the chemical separation process and thus reduces the total time of analysis. The presentation summarizes our recent advances in research and development of analytical methods for the selected long-lived radionuclides such as Zr, Mo, Pd, Sn, and Se by ICP-MS/MS, aiming at applications to the measurement of samples collected in the vicinity of 1F. The analytical method development and recently obtained results are discussed in detail.

Chemical researches assisting in Decommissioning Fukushima Daiichi Nuclear Power Station including material corrosion, radioactive nuclides behavior and waste solidification

Aoyama, Takahito; Takahatake, Yoko; Ito, Azusa; Ueno, Fumiyoshi; Okada, Takashi; Nagaishi, Ryuji; Koma, Yoshikazu

no journal, , 

Research and development of digital technologies to explore radiation source distributions for exposure reduction; Current research and development progress

Suzuki, Masahiro; Aoki, Yuto; Yamaguchi, Takashi; Machida, Masahiko; Miyamura, Hiroko; Okamoto, Koji

no journal, , 

In order to facilitate the full-scale implementation of fuel debris removal at the Tokyo Electric Power Fukushima Daiichi Nuclear Power Plant (hereinafter referred to as 1F), it is necessary to establish a safe access route within the highly radiation-intensive reactor building (hereinafter referred to as "R/B"). For the purpose of the establishment, it requires environmental improvements such as decontamination of highly-intensive radiation sources and shielding measures. Based on the radiation dose measurement data at the site, Japan Atomic Energy Agency (JAEA) has examined inverse estimation scheme of highly-intensive radiation sources and developed a system that incorporates not only virtual reality (VR) but also mixed reality (MR, AR) to evaluate the effectiveness of decontamination and shielding measures. This report presents an overview of the research and development achievements to date and introduces necessary efforts for enhancing functionality to ensure practical applications at 1F.

Remote control technology for monitoring inside RPV pedestal during retrieval of fuel debris; Prototype experiments

Matsuhira, Nobuto*; Komatsu, Ren*; Nakashima, Shinsuke*; Yamashita, Atsushi*; Fukui, Rui*; Takahashi, Hiroyuki*; Shimazoe, Kenji*; Woo, H.*; Tamura, Yusuke*; Takashi, Takayuki*; et al.

no journal, , 

This research aims to develop human resources in the field of remote technology for the decommissioning of the Fukushima Daiichi Nuclear Power Plant. We conduct research on a monitoring platform for fuel debris removal. Here, the developments on prototype experiments were described. We expect to develop research personnel through participation in projects, lectures, and facility tours.

Development of an image clarification method using deep learning for improving the operator's spatial awareness

Tanifuji, Yuta; Kawabata, Kuniaki

no journal, , 

This paper reports on the development of a camera image clarifying method using deep learning to assist in recognizing the status of the workspace when executing the task remotely. By the result of the experiments, it was confirmed that the quality of images of actual decommissioning workspace clarified by proposed method is better than that of conventional methods.