In this article, we formulate Monin–Obukhov similarity theory (MOST)-based relationships, for normalized standard deviations of wind velocity components under the local scaling framework, and investigate their applicability under stable and highly stable atmospheric conditions. We used the fast response data collected using an ultrasonic anemometer over a flat terrain of Kalpakkam in India and a complex hilly terrain at Cadarache, France, for arriving at these formulations. The study shows that after filtering of the submesoscale motions from the sonic anemometer data, the turbulence diffusion relationships follow local scaling, under stable conditions. The study further indicates that these relationships follow similar behavior for the sites taken for this study. At neutral conditions, the values of the scaled standard deviations are found to be 1.9 ± 0.07, 1.8 ± 0.06 and 1.3 ± 0.02, for longitudinal, crosswind and vertical component, respectively, for the complex terrain and 1.8 ± 0.03, 1.9 ± 0.06 and 1.1 ± 0.04, respectively, for the flat terrain. The research also investigates the effect of the new diffusion relationships in simulating atmospheric dispersion, using the Lagrangian particle dispersion model FLEXPART-WRF. Simulations using these new diffusion relationships show a higher dose estimate relative to the model default Hanna’s method, in the case of radioactivity dispersion. Detailed comparisons of the simulated dose rate estimates against measurements using Environmental Radiation Monitors (ERM) indicate that the new relationships give better correlation (r2 = 0.62) under stable conditions over model default relationships (r2 = 0.50).

中文翻译：

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大气稳定条件下湍流扩散关系的建立及其对污染扩散的影响

在本文中，我们为局部尺度框架下风速分量的归一化标准偏差制定了基于 Monin-Obukhov 相似理论 (MOST) 的关系，并研究了它们在稳定和高度稳定的大气条件下的适用性。我们使用超声波风速计在印度 Ka​​lpakkam 的平坦地形和法国 Cadarache 的复杂丘陵地形上收集的快速响应数据得出这些配方。研究表明，从声速计数据中过滤亚中尺度运动后，湍流扩散关系在稳定条件下遵循局部尺度。该研究进一步表明，对于本研究所采用的站点，这些关系遵循类似的行为。在中性条件下，对于复杂地形，纵向、侧风和垂直分量的标度标准偏差值分别为 1.9 ± 0.07、1.8 ± 0.06 和 1.3 ± 0.02，以及 1.8 ± 0.03、1.9 ± 0.06 和 1.1 ± 0.04，分别为平坦地形。该研究还使用拉格朗日粒子扩散模型 FLEXPART-WRF 研究了新扩散关系对模拟大气扩散的影响。在放射性扩散的情况下，使用这些新扩散关系的模拟显示相对于模型默认的汉娜方法更高的剂量估计。模拟剂量率估计值与使用环境辐射监测器 (ERM) 的测量值的详细比较表明，新关系提供了更好的相关性 (r2 = 0.