{"title":"东海声速聚集剖面","authors":"Y. Liu, Cheng Chen","doi":"10.1109/OCEANSKOBE.2018.8559172","DOIUrl":null,"url":null,"abstract":"SSP cluster analysis was performed in the region with water depth in the range 75 m ∼ 150 m in ECS. By assuming that the water density stratification follows that of the ‐ coordinate, and that the continental shelf region in ECS was a relatively flat one, the SSPs in this region were clustered with the -coordinate. Principle Component Analysis (PCA) method and the Self-Organizing Map (SOM) method were employed to cluster the SSPs calculated from the outputs of the regional FVCOM model. Results suggest the region north of Taiwan fluctuates most and that the region corresponding to each group stretches along the contour line, which agrees with the current system there. Acoustic propagation analysis show that acoustic propagation in different groups show different sensitivities to SSP fluctuation and the source depth could make a difference. The reason lies in the fact that amplitudes for the propagating modes would be excited in different degrees for different source depth so that effect of SSP fluctuation differs greatly.","PeriodicalId":441405,"journal":{"name":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Clustering Sound Speed Profiles in East China Sea\",\"authors\":\"Y. Liu, Cheng Chen\",\"doi\":\"10.1109/OCEANSKOBE.2018.8559172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SSP cluster analysis was performed in the region with water depth in the range 75 m ∼ 150 m in ECS. By assuming that the water density stratification follows that of the ‐ coordinate, and that the continental shelf region in ECS was a relatively flat one, the SSPs in this region were clustered with the -coordinate. Principle Component Analysis (PCA) method and the Self-Organizing Map (SOM) method were employed to cluster the SSPs calculated from the outputs of the regional FVCOM model. Results suggest the region north of Taiwan fluctuates most and that the region corresponding to each group stretches along the contour line, which agrees with the current system there. Acoustic propagation analysis show that acoustic propagation in different groups show different sensitivities to SSP fluctuation and the source depth could make a difference. The reason lies in the fact that amplitudes for the propagating modes would be excited in different degrees for different source depth so that effect of SSP fluctuation differs greatly.\",\"PeriodicalId\":441405,\"journal\":{\"name\":\"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANSKOBE.2018.8559172\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSKOBE.2018.8559172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
在ECS中水深在75 m ~ 150 m范围内的区域进行了SSP聚类分析。假设水密度分层遵循-坐标,假设ECS大陆架区域是一个相对平坦的大陆架区域,该区域的ssp聚集在-坐标上。采用主成分分析(PCA)方法和自组织映射(SOM)方法对区域FVCOM模型输出计算的ssp进行聚类。结果表明,台湾北部地区波动最大,各类群对应的区域沿等高线延伸,与台湾北部地区的现行体系一致。声传播分析表明,不同群体的声传播对SSP波动的敏感性不同,且震源深度不同。其原因是由于不同的源深度会激发不同程度的传播模式振幅,因此SSP波动的影响差异很大。
SSP cluster analysis was performed in the region with water depth in the range 75 m ∼ 150 m in ECS. By assuming that the water density stratification follows that of the ‐ coordinate, and that the continental shelf region in ECS was a relatively flat one, the SSPs in this region were clustered with the -coordinate. Principle Component Analysis (PCA) method and the Self-Organizing Map (SOM) method were employed to cluster the SSPs calculated from the outputs of the regional FVCOM model. Results suggest the region north of Taiwan fluctuates most and that the region corresponding to each group stretches along the contour line, which agrees with the current system there. Acoustic propagation analysis show that acoustic propagation in different groups show different sensitivities to SSP fluctuation and the source depth could make a difference. The reason lies in the fact that amplitudes for the propagating modes would be excited in different degrees for different source depth so that effect of SSP fluctuation differs greatly.