Automatic detection of eddies and influence of warm eddy on sound propagation in the Persian Gulf

Eddies are among the most complex phenomena in marine environments, with significant impacts on hydrodynamic parameters. Various intelligent algorithms are utilized to identify and analyze these eddies. In this study, a vector geometry algorithm based on the rotation of velocity vectors was employed to detect and extract eddies in the Persian Gulf. The algorithm utilizes horizontal velocity components from numerical modeling as inputs. Following eddy extraction, their characteristics were thoroughly examined. A total of 4308 cyclonic and 2860 anticyclonic eddies were identified at the surface, with 617 cyclonic and 329 anticyclonic eddies detected at a depth of 50 meters for daily data over one year. Additionally, an investigation into the impact of eddies on sound propagation revealed that warm eddies create areas of severe transmission loss at their centers, leading to divergence in sound rays.涡旋是海洋环境中最为复杂的现象之一，对水动力参数具有显著影响。目前已有多种智能算法被应用于此类涡旋的识别与分析工作。本研究采用一种基于速度矢量旋转的矢量几何算法，对波斯湾海域的涡旋开展检测与提取，该算法以数值模拟输出的水平速度分量作为输入。完成涡旋提取后，研究人员对其特征展开了全面细致的分析。基于为期一年的逐日数据，在表层海域共识别出4308个气旋式涡旋与2860个反气旋式涡旋；在50米深度处则检测到617个气旋式涡旋与329个反气旋式涡旋。此外，本研究还探究了涡旋对声传播的影响，结果显示暖涡的中心区域会产生严重的声传播损失，进而导致声线发生发散。