基于角动量模型的流场涡旋提取方法

分析海洋流场数据进行流场涡旋提取是流场可视化的重要方法。通常实际存在的涡旋具有不规则性,导致涡旋的提取通常需要复杂的计算。本文分析流场数据中涡旋的特点,提出一种基于角动量最大值模型提取涡旋的方法。建立角动量模型计算获得近似涡旋中心点,然后通过空间聚集分析和流场信息熵的计算来提取区域内涡旋。实验结果表明,与传统的提取方法相比,该方法不需要通过复杂计算即可提取涡旋区域并保证准确度,可以应用于不同空间分辨率的数据,同时解决了流场信息熵计算时鞍点对涡旋影响的问题,对于弱涡旋也有较好的提取效果。

Flow field vortex extraction method based on angular momentum model

Analysis of ocean flow field data for flow field vortex extraction is an important method for flow field visualization. Usually the vortex that actually exists has irregularities, and the method of extracting the vortex usually requires complicated calculations. This paper analyzes the characteristics of vortex in flow field data and proposes a method based on angular momentum maximum model to extract vortex. The angular momentum model is established to obtain the approximate vortex center point, and then the intra-region vortex is extracted by spatial aggregation analysis and flow field information entropy calculation. The experimental results show that compared with the traditional extraction method, the method can extract the vortex region and ensure the accuracy without complicated calculation. It can be applied to data with different spatial resolutions. And it solves the problem that the saddle point affects the vortex when calculating the flow field information entropy. Spin also has a good extraction effect.