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Maurer, C.*; Galmarini, S.*; Solazzo, E.*; Kumierczyk-Michulec, J.*; Bar
, J.*; Kalinowski, M.*; Schoeppner, M.*; Bourgouin, P.*; Crawford, A.*; Stein, A.*; et al.
Journal of Environmental Radioactivity, 255, p.106968_1 - 106968_27, 2022/12
Times Cited Count:5 Percentile:37.54(Environmental Sciences)After performing multi-model exercises in 2015 and 2016, a comprehensive Xe-133 atmospheric transport modeling challenge was organized in 2019. For evaluation measured samples for the same time frame were gathered from four International Monitoring System stations located in Europe and North America with overall considerable influence of IRE and/or CNL emissions. As a lesion learnt from the 2nd ATM-Challenge participants were prompted to work with controlled and harmonized model set ups to make runs more comparable, but also to increase diversity. Effects of transport errors, not properly characterized remaining emitters and long IMS sampling times (12 to 24 hours) undoubtedly interfere with the effect of high-quality IRE and CNL stack data. An ensemble based on a few arbitrary submissions is good enough to forecast the Xe-133 background at the stations investigated. The effective ensemble size is below five.
Furuno, Akiko; Terada, Hiroaki; Chino, Masamichi; Yamazawa, Hiromi*
Atmospheric Environment, 38(40), p.6989 - 6998, 2004/12
Times Cited Count:20 Percentile:40.49(Environmental Sciences)We have been developing the computer-based emergency response system WSPEEDI which predicts long-range atmospheric dispersion of radionuclides discharged into the atmosphere due to a nuclear accident. The first version of WSPEEDI has a shortage that the spatial and temporal variation of the atmospheric boundary layer was very simply parameterized. Therefore we have developed the new version accomplished with the atmospheric dynamic model, in which the turbulent diffusivity in the mixing layer is calculated with a turbulence closure model. This paper describes the results of performance evaluation of the new version of WSPEEDI by comparing the simulation results with the European Tracer Experiment data. As a result of the verification, it was shown that the increase in the horizontal resolution largely improved the accuracy of the model prediction. The use of the turbulence closure model instead of the simple parameterization largely contributed to improve reproducibility of horizontal distribution of plumes.
Terada, Hiroaki; Furuno, Akiko; Chino, Masamichi
Proceedings from the International Conference on Radioactivity in the Environment (CD-ROM), 4 Pages, 2002/09
The present study aims to expanding the capability of WSPEEDI, so that it can be applied to atmospheric releases of radionuclides in the world for terrorist attack as well as nuclear accident. A terrorist attack would be possible in any time, any place and any scale. Altough WSPEEDI has already had a function to acquire global meteorological forecasts to generate a geographical map at arbitrary region in the world, it had no capability for simultaneous multi-scale predictions. Thus, the combination of models, non-hydrostatic meteorological model MM5 and atmospheric dispersion model GEARN, is introduced to WSPEEDI. MM5 can forecast local and regional meteorological condition simultaneously by domain nesting calculations. By the input of meteorological condition generated by MM5, GEARN can forecast multi-scale environmental contaminations considering detailed boundary layer and precipitation processes. Using this improved WSPEEDI, we made test calculations assuming a nuclear accident or terrorist attack in Asia.
Takano, Makoto; Romanova, V.*; Yamazawa, Hiromi; Sivintsev, Y.*; Compton, K.*; Novikov, V.*; Parker, F.*
Journal of Nuclear Science and Technology, 38(2), p.143 - 157, 2001/02
no abstracts in English
Homma, Toshimitsu; Inoue, Yoshihisa*; Tomita, Kenichi*
JAERI-Research 2000-049, 101 Pages, 2000/10
no abstracts in English
Chino, Masamichi; Ishikawa, Hirohiko; Yamazawa, Hiromi
Radiation Protection Dosimetry, 50(2-4), p.145 - 152, 1993/00
no abstracts in English
Ishikawa, Hirohiko; Yamazawa, Hiromi; Chino, Masamichi; ; ;
Proc. of the Int. Conf. on Radiation Effects and Protection, p.385 - 389, 1992/00
no abstracts in English
Ishikawa, Hirohiko; Chino, Masamichi
Journal of Nuclear Science and Technology, 28(7), p.642 - 655, 1991/07
no abstracts in English
Yamamoto, Yoichi; Furuno, Akiko; Kurihara, Toshiyuki; Tomita, Yutaka
no journal, ,
Radioxenon is a high-yield fission product which is an important tracer for a nuclear test, and is also emitted by civil nuclear facilities like isotope production facilities or nuclear power plants. The Ulaanbaatar radionuclide monitoring station (MNX45) in Mongolia has detected relatively high concentrations of Xe-133 exceeding 1 mBq/m several times a year, despite the fact that there are no nuclear facilities in the vicinity that could be sources of emissions. To determine the source of emission, Atmospheric Transport Modelling (ATM) backtracking analyses for source estimation were carried out for five cases with consecutive detections of Xe-133 above 1 mBq/m
since September 2023. For these cases, forward tracking analyses from the estimated sources of emissions were carried out to investigate the impact of detected Xe-133 on radionuclide monitoring stations located downwind from MNX45. We report on the analysis and results.
Yamamoto, Yoichi; Kijima, Yuichi
no journal, ,
Following the 6th DPRK nuclear test (DPRK-6) event on 3 September 2017, some Level C events of Xe were detected at the Takasaki radionuclide (RN) station and the Hawaii RN station in October. In order to investigate the relation between those Level C events and the DPRK-6 event, the Japanese NDC-2 carried out the ATM analysis for the Level C events. The estimation results of the possible source region using the ATM backtracking analysis show the DPRK test site is included in the possible source region. However, the results of the ATM forward tracking analysis from the DPRK test site disagree with the real measurement results at Takasaki and Hawaii RN stations. Some analysis results of ATM simulations by the NDC-2 and our conclusion for the Level C events at Takasaki and Hawaii are shown in the presentation.