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Atmospheric Stability Classification of Dispersion Factor for Radiological Analysis at YONGGWANG Site in KOREA

机译:韩国永王网站放射性分析的大气稳定性分类

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Air pollution model have been studied by the IAEA, NRC, and EPA. The aim of this study is to develop a more efficient methodology of explaining the behavior of the atmosphere depended on the atmospheric stability. Generally, Lagrangian, Eulerian or Gaussian models have been used to explain the air pollution behavior in Nuclear Power Plants (NPPs). These models employ various methods to determine the stability of the atmosphere. In this study, various models and simulations are reviewed and the respective methodologies are applied to YONGGWANG site to identify benefits. In this paper, major atmospheric stability classification methods are evaluated with meteorological data obtained by the data acquisition system of the YONGGWANG site. To classify stability, Pasquill's classification method is the most widely used on the basic of its good agreement in respect of synoptic scope under a steady state and rapid response time on stability by heating or cooling caused by daily insolation or nocturnal surface radiation. From a comparison of modeling calculation results, we find that horizontal and vertical standard deviations of the wind fluctuation method tend to classify night-time stable conditions as unstable conditions. The classification matrix tables for Vogt's vertical temperature difference and wind speed are modified and applied for practical use at the YONGGWANG site. We also confirm that the methods using the bulk Richardson number and Vogt's modified graphs are very useful in classifying atmospheric category. Modified tables for delta T and wind speed U and the Richardson method were made by using the reasonable joint frequency distribution from Pasquil's method and other existing results. From the obtained results, the correlation coefficient (r) was equal to 0.857. It was confirmed that atmospheric stability can vary with monitoring site characteristics, height, and vertical difference between monitoring detectors, and the classification methodology itself.
机译:IAEA,NRC和EPA研究了空气污染模型。本研究的目的是制定更有效的方法,解释大气稳定性的大气的行为。通常,拉格朗日,欧拉或高斯模型已被用于解释核电厂(NPPS)中的空气污染行为。这些模型采用各种方法来确定大气的稳定性。在这项研究中,审查了各种模型和模拟,并将各个方法应用于永代遗址以识别益处。在本文中,通过由永王遗址的数据采集系统获得的气象数据评估了主要的大气稳定性分类方法。为了对稳定性进行分类,PASQUILL的分类方法是在稳定状态下的稳定状态下的稳定状态和快速响应时间通过每日缺失或夜间表面辐射引起的稳定性的稳定性和冷却的快速响应时间而获得最广泛的协议。从建模计算结果的比较来看,发现风波动方法的水平和垂直标准偏差倾向于将夜间稳定条件分类为不稳定条件。用于Vogt垂直温差和风速的分类矩阵表被修改并应用于永港遗址的实际应用。我们还确认使用散装理查森号码和Vogt的修改图的方法在分类大气类别方面非常有用。通过使用PASQUIL的方法和其他现有结果的合理的关节频率分布来制造改进的ΔT和风速U和Richardson方法。从得到的结果,相关系数(R)等于0.857。确认,大气稳定性可以随监测现场特征,高度和监测探测器之间的垂直差异而变化,以及分类方法本身。

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