JpGU-AGU Joint Meeting 2020

講演情報

[J] 口頭発表

セッション記号 M (領域外・複数領域) » M-AG 応用地球科学

[M-AG44] 福島原発事故により放出された放射性核種の環境動態

コンビーナ:津旨 大輔(一般財団法人 電力中央研究所)、高橋 嘉夫(東京大学大学院理学系研究科地球惑星科学専攻)、恩田 裕一(筑波大学アイソトープ環境動態研究センター)、北 和之(茨城大学理学部)

[MAG44-01] Sensitivity study of models and meteorology for local-scale radionuclide transport in the Fukushima Daiichi accident

★Invited Papers

*Xinpeng Li1Shuhan Zhuang1sheng fang1 (1.Tsinghua University)

キーワード:radionuclide transport, nuclear accident, atmospheric dispersion, meteorological data sets

A large number of radionuclides were released into the environment following the Fukushima Daiichi Nuclear Power Plant (FDNPP1) accident on March 11, 2011. It is important to study the behavior of radionuclides in air, for mitigating the environmental pollution and reducing the health hazards. In this study, sensitivities of local-scale radionuclides transport to three different meteorological data sets and two air dispersion models were studied to obtain the optimal meteorological input. Three meteorological data include the 1km-assimilation meteorological data, 3km-unassimilated meteorological data, and onsite measured weather data. The Lagrangian particle model (Micro Swift Spray: MSS) and the Lagrangian puff model (Risø Mesoscale Puff model: Rimpuff) were used to investigate the behavior of models of different mechanisms for this scenario. Measurement data of two near-field monitor posts were used to validate the simulation results. The analysis shows that most combinations of the involved meteorology and models can reproduce peaks of the measured data. But the timing of the concentration peak shows more deviations in the MSS simulation than in the RIMPUFF simulation. And the onsite measured weather data provided more details of simulated results than other meteorological data sets. However, Rimpuff simulation with onsite measured weather data may reproduce an artificial peak of concentrations that is not obtained by any other scheme.