Development of a Dynamic Downscaling Method for Use in Short-Range Atmospheric Dispersion Modeling Near Nuclear Power Plants

Pub Date : 2023-03-30 DOI:10.14407/jrpr.2022.00073
Sang-Hyun Lee, Su‐Bin Oh, Chun-Ji Kim, C. Jin, Hyun-Ha Lee
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Abstract

Background: High-fidelity meteorological data is a prerequisite for the realistic simulation of atmospheric dispersion of radioactive materials near nuclear power plants (NPPs). However, many meteorological models frequently overestimate near-surface wind speeds, failing to represent local meteorological conditions near NPPs. This study presents a new high-resolution (approximately 1 km) meteorological downscaling method for modeling short-range (< 100 km) atmospheric dispersion of accidental NPP plumes.Materials and Methods: Six considerations from literature reviews have been suggested for a new dynamic downscaling method. The dynamic downscaling method is developed based on the Weather Research and Forecasting (WRF) model version 3.6.1, applying high-resolution land-use and topography data. In addition, a new subgrid-scale topographic drag parameterization has been implemented for a realistic representation of the atmospheric surface-layer momentum transfer. Finally, a year-long simulation for the Kori and Wolsong NPPs, located in southeastern coastal areas, has been made for 2016 and evaluated against operational surface meteorological measurements and the NPPs’ on-site weather stations.Results and Discussion: The new dynamic downscaling method can represent multiscale atmospheric motions from the synoptic to the boundary-layer scales and produce three-dimensional local meteorological fields near the NPPs with a 1.2 km grid resolution. Comparing the year-long simulation against the measurements showed a salient improvement in simulating near-surface wind fields by reducing the root mean square error of approximately 1 m/s. Furthermore, the improved wind field simulation led to a better agreement in the Eulerian estimate of the local atmospheric dispersion. The new subgrid-scale topographic drag parameterization was essential for improved performance, suggesting the importance of the subgrid-scale momentum interactions in the atmospheric surface layer.Conclusion: A new dynamic downscaling method has been developed to produce high-resolution local meteorological fields around the Kori and Wolsong NPPs, which can be used in short-range atmospheric dispersion modeling near the NPPs.
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核电厂附近近程大气弥散模拟动态降尺度方法的发展
背景:高保真气象数据是真实模拟核电站附近放射性物质大气扩散的先决条件。然而,许多气象模式经常高估近地面风速,不能代表核电站附近的当地气象条件。本文提出了一种新的高分辨率(约1公里)气象降尺度方法,用于模拟NPP事故羽流的近距离(< 100公里)大气扩散。材料和方法:从文献综述中提出了一种新的动态降尺度方法的六个考虑因素。基于WRF (Weather Research and Forecasting, WRF)模式3.6.1版,应用高分辨率土地利用和地形数据,开发了动态降尺度方法。此外,本文还提出了一种新的亚栅格尺度地形阻力参数化方法,以真实地表征大气表层动量传递。最后,对位于东南沿海地区的古里核电站和月松核电站进行了为期一年的2016年模拟,并根据实际地面气象测量和核电站现场气象站进行了评估。结果与讨论:新的动态降尺度方法可以表示从天气尺度到边界层尺度的多尺度大气运动,并能生成网格分辨率为1.2 km的核电站附近三维局地气象场。将一年的模拟结果与实测结果进行比较,结果表明,模拟近地面风场的均方根误差降低了约1 m/s。此外,改进后的风场模拟结果与欧拉法对局地大气弥散的估计更加吻合。新的亚网格尺度地形阻力参数化对于提高性能至关重要,这表明大气表层亚网格尺度动量相互作用的重要性。结论:建立了一种新的动态降尺度方法,在古里核电站和月松核电站周围建立了高分辨率的局地气象场,可用于核电站附近的近程大气弥散模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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