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Large-eddy simulation of turbulent winds during the Fukushima Daiichi Nuclear Power Plant accident by coupling with a meso-scale meteorological simulation model

机译:结合中尺度气象模拟模型的福岛第一核电站事故大涡模拟

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A significant amount of radioactive material was accidentally dischargedinto the atmosphere from the Fukushima Dai-ichi Nuclear Power Plant from12 March 2011, which produced high contaminated areas over a wide region inJapan. In conducting regional-scale atmospheric dispersion simulations, thecomputer-based nuclear emergency response system WSPEEDI-II developed byJapan Atomic Energy Agency was used. Because this system is driven by ameso-scale meteorological (MM) model, it is difficult to reproducesmall-scale wind fluctuations due to the effects of local terrainvariability and buildings within a nuclear facility that are not explicitlyrepresented in MM models. In this study, we propose a computational approachto couple an LES-based CFD model with a MM model for detailed simulations ofturbulent winds with buoyancy effects under real meteorological conditionsusing turbulent inflow technique. Compared to the simple measurement data,especially, the 10 min averaged wind directions of the LES differ by morethan 30 degrees during some period of time. However, distribution patternsof wind speeds, directions, and potential temperature are similar to the MMdata. This implies that our coupling technique has potential performance toprovide detailed data on contaminated area in the nuclear accidents.
机译:从2011年3月12日起,大量放射性物质意外地从福岛第一核电站排入大气,该核电站在日本大范围地区造成了高污染区域。在进行区域尺度的大气弥散模拟时,使用了由日本原子能机构开发的基于计算机的核应急系统WSPEEDI-II。由于该系统是由气象模型(MM)模型驱动的,因此由于局部地形变化和核设施中建筑物的影响而难以再现小规模的风浪,而MM模型中并未明确表示这种影响。在这项研究中,我们提出了一种将基于LES的CFD模型与MM模型耦合的计算方法,用于使用湍流入流技术在真实的气象条件下详细模拟具有浮力作用的湍流风。与简单的测量数据相比,尤其是LES的10分钟平均风向在一段时间内相差30度以上。但是,风速,风向和潜在温度的分布模式与MMdata类似。这意味着我们的耦合技术具有潜在的性能,可提供核事故受污染区域的详细数据。

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