Broadband acoustic wave propagation in three-dimensional shallow waveguide with variable sound speed profile and boundary roughness

2017 ◽  
Vol 141 (5) ◽  
pp. 3588-3588
Author(s):  
Mohsen Badiey
Keyword(s):  
Wave Propagation ◽  
Acoustic Wave ◽  
Sound Speed ◽  
Three Dimensional ◽  
Speed Profile ◽  
Acoustic Wave Propagation ◽  
Sound Speed Profile ◽  
Boundary Roughness

scholarly journals Ocean Front Reconstruction Method Based on K-Means Algorithm Iterative Hierarchical Clustering Sound Speed Profile

2021 ◽  
Vol 9 (11) ◽  
pp. 1233
Author(s):  
Yuyao Liu ◽  
Wei Chen ◽  
Yu Chen ◽  
Wen Chen ◽  
Lina Ma ◽  
...  
Keyword(s):  
Hierarchical Clustering ◽  
Gulf Stream ◽  
Sound Speed ◽  
Frontal Zone ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Reconstruction Method ◽  
Speed Profile ◽  
Sound Speed Profile ◽  
Ocean Front

As one of the most common mesoscale phenomena in the ocean, the ocean front is defined as a narrow transition zone between two water masses with obviously different properties. In this study, we proposed an ocean front reconstruction method based on the K-means algorithm iterative hierarchical clustering sound speed profile (SSP). This method constructed the frontal zone from the perspective of SSP. Meanwhile, considering that acoustic ray tracing is a very sensitive tool for detecting the location of ocean fronts because of the strong dependence of the transmission loss (TL) on SSP structure, this paper verified the feasibility of the method from the perspective of the TL calculation. Compared with other existing methods, this method has the key step of iterative hierarchical clustering according to the accuracy of clustering results. The results of iterative hierarchical clustering of the SSP can reconstruct the ocean front. Using this method, we reconstructed the ocean front in the Gulf Stream-related sea area and obtained the three-dimensional structure of the Gulf Stream front (GSF). The three-dimensional structure was divided into seven layers in the depth range of 0–1000 m. Iterative hierarchical clustering SSP by K-means algorithm provides a new method for judging the frontal zone and reconstructing the geometric model of the ocean front in different depth ranges.

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