Effects of monitoring post characteristics on radiation dose measurements in nuclear emergencies

Sato, Shun; Hokama, Tomonori*; Mikami, Satoshi; Takahashi, Fumiaki

Nihon Genshiryoku Gakkai Wabun Rombunshi (Internet), 25(3), p.93 - 105, 2026/08

https://doi.org/10.3327/taesj.J25.009

Radiation dose rates measured by continuous monitoring posts (MPs) are essential for understanding spatial dose rate distributions and determining appropriate radiation protection measures during a nuclear emergency. However, MPs have different characteristics, such as height, measurement units, and monitor types. This study examined 1,692 MPs that are installed across Japan to investigate these characteristics. To quantitatively assess the effects of MP characteristics on radiation dose measurements, numerical simulations were conducted under assumed radionuclide distribution conditions following a light water reactor accident. The simulation model was validated through comparisons with observed monitoring data following the Fukushima accident. The simulation results showed that the variability in measured values due to differences in installation height and measurement units generally ranged from 0.7 to 1.1 times when the ambient dose equivalent rate at 1 m height was used as a reference. These findings provide important insights for the appropriate use of MP data and the improvement of emergency radiation monitoring systems in future nuclear accidents.

Development of a fiber laser-based method to generate Cs-bearing microparticles from glass fiber filters

Hagiwara, Hiroki; Kosuge, Atsushi; Saito, Junichi; Namie, Masanari; Kisohara, Naoyuki; Minehara, Eisuke*; Tsuboi, Akihiko; Ishimori, Yuu

Next Research (Internet), 8, p.101581_1 - 101581_9, 2026/06

https://doi.org/10.1016/j.nexres.2026.101581

An Estimation method for the total amount of Cs contamination on the bottom of top shield plug in the Fukushima Daiichi Nuclear Power Plant Unit 2

Kanno, Ikuo; Matsumura, Taichi; Okumura, Keisuke

Journal of Nuclear Science and Technology, 7 Pages, 2026/00

https://doi.org/10.1080/00223131.2026.2725018

Negligible tritium accumulation in Japanese flounder from treated water released from Fukushima Daiichi Nuclear Power Plant; A Numerical simulation study

Ikenoue, Tsubasa; Tani, Takashi*; Kawamura, Hideyuki; Sato, Yuhi*

Environmental Science & Technology, 59(38), p.20588 - 20594, 2025/09

https://doi.org/10.1021/acs.est.5c04474

Since 2023, ALPS-treated water containing tritium from the Fukushima Daiichi Nuclear Power Plant (1F) accident has been released into the ocean. Monitoring of seafood collected near the Fukushima coast has shown negligible increases in the tritium concentration. However, this monitoring has limitations, including delayed data release and a limited sample size. Therefore, a predictive estimation is necessary to assess the potential for high tritium accumulation in seafood. This study estimated tritium concentrations in Japanese flounder near the Fukushima coast using numerical simulations. The estimation combined an oceanic dispersion model for tritiated water (HTO) with a tritium transfer model for the marine food web. Tritium accumulation was evaluated as organically bound tritium (OBT), the long-retaining chemical form of tritium in organisms. First, the dispersion model's ability to reproduce HTO concentrations in seawater was validated using actual measurement data from the Fukushima coast, showing good agreement. Subsequently, the OBT concentrations in flounder were estimated under the hypothetical maximum release scenario of the treated water. The estimation suggested that even within 100 km of 1F, the maximum concentration of the OBT was comparable with natural levels of tritium in environmental waters. Additionally, the maximum concentration in the flounder remained at a negligible level for internal radiation exposure through consumption.

Development of HCl-free solid-phase extraction combined with ICP-MS/MS for rapid assessment of difficult-to-measure radionuclides, 3; Measurement of Se concentration in concrete rubble

Banjarnahor, I. M.; Do, V.-K.; Furuse, Takahiro; Ota, Yuki; Tanaka, Kosuke

Journal of Radioanalytical and Nuclear Chemistry, 334(7), p.4997 - 5006, 2025/05

https://doi.org/10.1007/s10967-025-10143-w

Multiple knowledge exploration functions for advanced reactor design and safety in knowledge management system implemented in the ARKADIA

Seki, Akiyuki; Kondo, Yuki; Hashidate, Ryuta; Yoshikawa, Masanori; Yokoyama, Kenji; Takaya, Shigeru; Enuma, Yasuhiro; Hazama, Taira; Wakai, Takashi; Asayama, Tai

Proceedings of 31st International Conference on Nuclear Engineering (ICONE31) (Internet), 7 Pages, 2024/11

https://doi.org/10.1115/ICONE31-131784

Development of a surrogate system of a plant dynamics simulation model and an abnormal situation identification system for nuclear power plants using deep neural networks

Seki, Akiyuki; Yoshikawa, Masanori; Nishinomiya, Ryota*; Okita, Shoichiro; Takaya, Shigeru; Yan, X.

Nuclear Technology, 210(6), p.1003 - 1014, 2024/06

https://doi.org/10.1080/00295450.2023.2273566

Two types of deep neural network (DNN) systems have been constructed with the intent to assist safety operation of a nuclear power plant. One is a surrogate system (SS) that can estimate physical quantities of a nuclear power plant in a computational time of several orders less than a physical simulation model. The other is an abnormal situation identification system (ASIS) that can estimate the state of the disturbance causing an anomaly from physical quantities of a nuclear power plant. Both systems are trained and tested using data obtained from the analytical code for incore and plant dynamics (ACCORD), which reproduces the steady and dynamic behavior of the actual high Temperature engineering test reactor (HTTR) under various scenarios. The DNN models are built by adjusting, the main hyperparameters. Through these procedures, these systems are shown able to perform with a high degree of accuracy.

Resilient design in nuclear energy; Critical lessons from a cross-disciplinary analysis of the Fukushima Dai-ichi Nuclear accident

Ayoub, A.*; Wainwright, Haruko*; Sansavini, G.*; Gauntt, R.*; Saito, Kimiaki

iScience (Internet), 27(4), p.109485_1 - 109485_15, 2024/04

https://doi.org/10.1016/j.isci.2024.109485

Soil dust and bioaerosols as potential sources for resuspended Cs occurring near the Fukushima Dai-ichi Nuclear Power Plant

Ota, Masakazu; Takahara, Shogo; Yoshimura, Kazuya; Nagakubo, Azusa; Hirouchi, Jun; Hayashi, Naho; Abe, Tomohisa; Funaki, Hironori; Nagai, Haruyasu

Journal of Environmental Radioactivity, 264, p.107198_1 - 107198_15, 2023/08

https://doi.org/10.1016/j.jenvrad.2023.107198

One of the current major radiation exposure pathways from the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident-fallout is inhalation of the re-suspended Cs occurring in air. While wind-induced soil particle resuspension has been recognized as a primary mechanism of Cs resuspension, studies following the FDNPP accident suggested that fungal spores can be a significant source of the atmospheric Cs particularly in the rural areas such as difficult-to-return zone (DRZ). To elucidate the relative importance of the two resuspension phenomena, we propose a model simulating resuspension of Cs as soil particles and fungal spores, and applied it to DRZ. Our model's calculation showed that soil particle resuspension was responsible for the surface-air Cs observed during winter-spring, but could not account for the higher Cs concentrations observed in summer-autumn. The higher concentrations in the summer-autumn were in general reproduced by implementing fungal spore Cs emission, that replenished low soil particle Cs resuspension in that period. According to our model's concept, Cs accumulation in fungal spores and high spore emission rate characterized by the rural environment were likely responsible for the abundance of spore Cs in the air. It was inferred that the influence of the fungal spores on the atmospheric Cs would last longer since un-decontaminated forests still exist in DRZ.

Establishing an evaluation method for the aging phenomenon by physical force in fuel debris

Suzuki, Seiya; Arai, Yoichi; Okamura, Nobuo; Watanabe, Masayuki

Journal of Nuclear Science and Technology, 60(7), p.839 - 848, 2023/07

https://doi.org/10.1080/00223131.2022.2159559

The fuel debris, consisting of nuclear fuel materials and reactor structural materials, generated in the accident of Fukushima Daiichi Nuclear Power Plant can become deteriorated like rocks under the changes of environmental temperature. Although the fuel debris have been cooled by water for 10 years, they are affected by seasonal and/or day-and-night temperature changes. Therefore, in evaluating the aging behavior of the fuel debris, it is essential to consider the changes in environmental temperature. Assuming that the fuel debris are deteriorated, radioactive substances that have recently undergone micronization could be eluted into the cooling water, and such condition may affect defueling methods. We focused on the effect of repeated changes in environmental temperature on the occurrence of cracks, and an accelerated test using simulated fuel debris was carried out. The length of the crack increases with increasing number of heat cycle; therefore, the fuel debris become brittle by stress caused by thermal expansion and contraction. In conclusion, it was confirmed that the mechanical deterioration of the fuel debris is similar to that of rocks or minerals, and it became possible to predict changes in the length of the crack in the simulated fuel debris and environmental model.