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Sato, Tatsuhiko
no journal, ,
Evaluation of the temporal and locational variations of cosmic ray fluxes generated through extensive airshower is very important for estimating cosmogenic nuclide yields, radiation doses for aircrews, and soft-error rates of semi-conductor devices. We therefore performed the EAS simulation using the Particle and Heavy Ion Transport code System PHITS. By fitting the results of the EAS simulation, we developed an analytical model for instantaneously estimating the cosmic-ray fluxes nearly anytime and anywhere in the Earth's atmosphere. The model is named PARMA/EXPACS, and used for various applications such as the estimation of cosmogenic nuclide production rates, and the analysis of footprint characteristics for soil moisture monitoring with cosmic-ray neutrons. The detail features and applications of PARMA/EXPACS will be presented at the meeting.
Kajino, Mizuo*; Sekiyama, Tsuyoshi*; Igarashi, Yasuhito*; Adachi, Koji*; Zaizen, Yuji*; Sawada, Morihiro*; Satou, Yukihiko; Moriguchi, Yuichi*
no journal, ,
King, G.*; Sueoka, Shigeru; Tsukamoto, Sumiko*; Biswas, R.*; Herman, F.*; Ahadi, F.*; Gautheron, C.*; Delpech, G.*; Tagami, Takahiro*
no journal, ,
no abstracts in English
Cs from the Fukushima Daiichi Nuclear Power Plant Accident using identical input dataSato, Yosuke*; Takigawa, Masayuki*; Sekiyama, Tsuyoshi*; Kajino, Mizuo*; Terada, Hiroaki; Nagai, Haruyasu; Kondo, Hiroaki*; Uchida, Junya*; Goto, Daisuke*; Qu
lo, D.*; et al.
no journal, ,
An intercomparison of atmospheric dispersion model targeting on the physical process of Cs released from the Fukushima Daiichi Nuclear Power Plant was conducted. Twelve atmospheric models participated in this project. To exclude the uncertainties of the model result due to the emission inventory and meteorological data, all models used the same emission and meteorological data. Concentration of Cs from the national suspended particle matter monitoring network and the deposition density by the aircraft were used for the comparison between results of the model and observation. Our analyses elucidated the figure of merit in space (FMS) of the model ensemble mean was improved from a previous model intercomparson about the accumulated deposition. The model ensemble mean captured approximately 36% of the observed high concentration. The inter-model spread of the capture rate was from 8% to 38%. It was originated from the difference in deposition and diffusion processes among the models.