Development of Multi-Scale Prediction Model for Atmospheric Turbulence and Dispersion for Assessing Risks of Nuclear Power Plant Disaster

2017 Fiscal Year Final Research Report

• Project/Area Number: 26282107
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Partial Multi-year Fund
• Section: 一般
• Research Field: Natural disaster / Disaster prevention science
• Research Institution: Kyoto University
• Principal Investigator: Takemi Tetsuya 京都大学, 防災研究所, 准教授 (10314361)
• Co-Investigator(Kenkyū-buntansha): 中山 浩成 国立研究開発法人日本原子力研究開発機構, 原子力科学研究部門 原子力基礎工学研究センター, 研究副主幹 (50535903) ; 堀口 光章 京都大学, 防災研究所, 助教 (60190253)
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: 自然災害 / 大気乱流 / 大気拡散 / 原子力災害 / 気象モデル / LES / 災害リスク評価 / 東日本大震災

Outline of Final Research Achievements

The aim of this study is to develop a multi-scale prediction model of atmospheric turbulence and dispersion for assessing risks of nuclear power plant disasters by merging field observations and high-resolution numerical modeling. The LES model was updated with the use of turbulence and dispersion data obtained in Kyoto City and Oklahoma City. By conducting turbulence simulations by coupling a mesoscale meteorological model and the updated LES model, we have developed a multi-scale prediction model for assessing risks of nuclear power plants under various meteorological conditions.

Free Research Field

自然災害科学