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Sato, Shun; Hokama, Tomonori*; Mikami, Satoshi; Takahashi, Fumiaki
Nihon Genshiryoku Gakkai Wabun Rombunshi (Internet), 25(3), p.93 - 105, 2026/08
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.
Miyazaki, Kanako*; Fueda, Kazuki*; Kadowaki, Masanao; Terada, Hiroaki; Kozai, Naofumi; Iwata, Hajime; Horie, Kenji*; Takehara, Mami*; Yamasaki, Shinya*; Grambow, B.*; et al.
Journal of Hazardous Materials, 511, p.142180_1 - 142180_17, 2026/06
Times Cited Count:0 Percentile:0.00(Engineering, Environmental)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
Fukuda, Kodai; Obara, Toru*
Nuclear Technology, 212(6), p.1567 - 1578, 2026/06
Times Cited Count:0 Percentile:0.00(Nuclear Science & Technology)
Cs contamination on the bottom of top shield plug in the Fukushima Daiichi Nuclear Power Plant Unit 2Kanno, Ikuo; Matsumura, Taichi; Okumura, Keisuke
Journal of Nuclear Science and Technology, 7 Pages, 2026/00
Times Cited Count:0Nakamura, Yuki*; Kojima, Yoshihiro*; Yamashita, Takuya; Shimomura, Kenta; Mizokami, Shinya
Journal of Nuclear Science and Technology, 62(12), p.1226 - 1230, 2025/12
Times Cited Count:0 Percentile:0.00(Nuclear Science & Technology)Ikenoue, Tsubasa; Tani, Takashi*; Kawamura, Hideyuki; Sato, Yuhi*
Environmental Science & Technology, 59(38), p.20588 - 20594, 2025/09
Times Cited Count:5 Percentile:71.69(Engineering, Environmental)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.
Se concentration in concrete rubbleBanjarnahor, I. M.; Do, V.-K.; Furuse, Takahiro; Ota, Yuki; Tanaka, Kosuke
Journal of Radioanalytical and Nuclear Chemistry, 334(7), p.4997 - 5006, 2025/05
Times Cited Count:3 Percentile:61.39(Chemistry, Analytical)Fukuda, Kodai; Obara, Toru*; Suyama, Kenya
Nuclear Technology, 211(5), p.963 - 973, 2025/05
Times Cited Count:2 Percentile:34.48(Nuclear Science & Technology)Nakamura, Yuki*; Kojima, Yoshihiro*; Yamashita, Takuya; Shimomura, Kenta; Mizokami, Shinya
Proceedings of 14th International Topical Meeting on Nuclear Reactor Thermal-Hydraulics, Operation, and Safety (NUTHOS-14) (Internet), 12 Pages, 2024/08
Seki, Akiyuki; Yoshikawa, Masanori; Nishinomiya, Ryota*; Okita, Shoichiro; Takaya, Shigeru; Yan, X.
Nuclear Technology, 210(6), p.1003 - 1014, 2024/06
Times Cited Count:2 Percentile:34.48(Nuclear Science & Technology)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.
Kubo, Kotaro; Tanaka, Yoichi*; Ishikawa, Jun
Proceedings of the Institution of Mechanical Engineers, Part O; Journal of Risk and Reliability, 238(3), p.464 - 474, 2024/06
Times Cited Count:2 Percentile:20.67(Engineering, Multidisciplinary)Ayoub, A.*; Wainwright, Haruko*; Sansavini, G.*; Gauntt, R.*; Saito, Kimiaki
iScience (Internet), 27(4), p.109485_1 - 109485_15, 2024/04
Times Cited Count:18 Percentile:84.51(Multidisciplinary Sciences)Ikeuchi, Hirotomo; Koyama, Shinichi
Nihon Genshiryoku Gakkai-Shi ATOMO
, 66(2), p.74 - 78, 2024/02
For the steady removal of fuel debris from the TEPCO's Fukushima Daiichi Nuclear Power Station (1F), it is an urgent issue to establish analysis technology and systems for fuel debris samples with unknown properties (unknown samples). For this purpose, through analysis tests using samples with known properties (simulated fuel debris) and discussions among experts, the validity of analysis results and the factors that cause errors has been identified. In addition to knowing the current level of analysis accuracy, studies are being conducted to understand and improve the influencing factors. This paper introduces a part of the development of infrastructure for analysis and evaluation technology of "nuclides and element content."
Cs occurring near the Fukushima Dai-ichi Nuclear Power PlantOta, 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
Times Cited Count:4 Percentile:19.91(Environmental Sciences)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.
Fueda, Kazuki*; Komiya, Tatsuki*; Minomo, Kenta*; Horie, Kenji*; Takehara, Mami*; Yamasaki, Shinya*; Shiotsu, Hiroyuki; Onuki, Toshihiko*; Grambow, B.*; Law, G. T. W.*; et al.
Chemosphere, 328, p.138566_1 - 138566_12, 2023/07
Times Cited Count:7 Percentile:37.65(Environmental Sciences)Suzuki, Seiya; Arai, Yoichi; Okamura, Nobuo; Watanabe, Masayuki
Journal of Nuclear Science and Technology, 60(7), p.839 - 848, 2023/07
Times Cited Count:0 Percentile:0.00(Nuclear Science & Technology)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.
Kubo, Kotaro
Science and Technology of Nuclear Installations, 2023, p.7402217_1 - 7402217_12, 2023/06
Times Cited Count:2 Percentile:24.52(Nuclear Science & Technology)Kitagaki, Toru; Krasnov, V.*; Ikeda, Atsushi
Journal of Nuclear Materials, 576, p.154224_1 - 154224_14, 2023/04
Times Cited Count:10 Percentile:51.83(Materials Science, Multidisciplinary)Nagatani, Taketeru; Sagara, Hiroshi*; Kosuge, Yoshihiro*; Nomi, Takayoshi; Okumura, Keisuke
Journal of Nuclear Science and Technology, 60(4), p.460 - 472, 2023/04
Times Cited Count:1 Percentile:8.97(Nuclear Science & Technology)