基于Argo数据的黑潮伸展前缘某震源辐合带分析

Yukun Zhang, Kunde Yang, Runze Xue, Chunlong Huang, Cheng Chen
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引用次数: 1

摘要

对不同海域的声传播进行了大量的研究,本文分析了黑潮伸展前缘区域的辐合带(CZ)特征。利用聚类法和经验正交函数分解法,推导出了分组的ssp的计算公式。然后通过插值得到基于Argo数据的SSP场模型。在通过黑潮伸展前缘区域的声传播路径上,汇聚区特征不仅受黑潮伸展的分布和结构主导的深声道深度的持续波动影响,而且受地形的影响,对KEF的特征和路径有强烈的影响。
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Convergence zone analysis for a source in the front area of Kuroshio Extension based on Argo data
Many studies have been conducted on acoustic propagation in different parts of the seas and oceans, and in this paper, the character of Convergence Zone (CZ) is analyzed in the front area of Kuroshio Extension. With cluster method and empirical orthogonal function decomposition method, formulas have been derived to get the grouped SSPs. After that an SSP field model based on Argo data is obtained by interpolation. On acoustic propagation path through the front area of Kuroshio Extension, character of convergence zone varies not only due to the continuously fluctuating depth of deep sound channel, which is dominated by the distribution and structure of Kuroshio Extension, but also affected by terrain, which has a strong impact to the characteristics and path of the KEF.
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