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Range-dependent acoustic tomography by oceanic feature modeling for the monitoring of upwelling (Cabo Frio, Brazil)

机译:通过海洋特征模型进行距离相关的声学层析成像,以监测上升流(巴西卡波弗里奥)

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The Cabo Frio zone presents an important coastal-oceanic system of great interest for biological and economical ressources. Among others, the coastal upwelling is one of the specific feature that occurs frequently in the area. As presented in a previous feasibility study, the main parameters of the upwelling can be tracked by acoustic tomography in vertical slices, using a feature model parameterization. In this paper, acoustic propagation simulations are used to study the sensitivity of acoustic measurements to a more advanced upwelling feature model. More specifically, it is shown how the frequency diversity and source position have a strong effect upon the subjacent ambiguity function involved in the inversion process. The Bartlett processor performances are compared for different frequency and hydrophone setup, showing that an increase of the number of transmitted frequencies compensates for the lack of hydrophones, and reduces efficiently the ambiguities. Furthermore, it is shown that a frequency-coherent cost function reduces strongly correlation between feature model parameters, enabling to resolve more efficiently the environment.
机译:卡波弗里奥(Cabo Frio)地区是重要的沿海海洋系统,对生物和经济资源具有极大的兴趣。其中,沿海上升流是该地区经常发生的特定特征之一。如先前的可行性研究所述,可以使用特征模型参数化,通过声学层析成像在垂直切片中跟踪上升流的主要参数。在本文中,使用声学传播模拟来研究声学测量对更高级的上升流特征模型的敏感性。更具体地,示出了频率分集和源位置如何对反演过程中所涉及的下歧义函数产生强烈影响。比较了巴特利特处理器在不同频率和水听器设置下的性能,表明发送频率数量的增加弥补了水听器的不足,并有效地减少了歧义。此外,还表明,频率相干成本函数可以大大降低要素模型参数之间的相关性,从而可以更有效地解决环境问题。

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