首页> 外文会议>OCEANS 2017 - Aberdeen >Modeling the vertical directionality of wind-generated noise in deep ocean using Pekeris-branch-cut-based normal modes
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Modeling the vertical directionality of wind-generated noise in deep ocean using Pekeris-branch-cut-based normal modes

机译:使用基于Pekeris分支割的法线模式对深海中风产生的噪声的垂直方向性进行建模

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摘要

Vertical directionality is an important property of wind-generated noise. In this paper, we extend the vertical directionality model of wind-generated noise in [12] from shallow water to deep ocean. In order to treat the overhead and distant noise simultaneously, we propose to use Pekeris-branch-cut-based normal modes to represent the Green's functions from noise sources to receivers. Comparing with the situation in shallow water, we find that the diagonal dominance of the noise modal covariance is weaker in deep ocean. In our model, both diagonal elements and a plenty of off-diagonal elements near the main diagonal line are involved into the modeling progress to ensure the accuracy. The errors could be introduced by neglecting the off-diagonal elements are simulated and analyzed. Using wave propagation theory, we give a reasonable explanation of why the diagonal dominance of the noise modal covariance matrix is weaker in deep ocean.
机译:垂直方向性是风力噪声的重要属性。在本文中,我们将[12]中风噪声的垂直方向性模型从浅水扩展到深海。为了同时处理开销和远处的噪声,我们建议使用基于Pekeris分支剪切的普通模式来表示从噪声源到接收器的格林函数。与浅海情况相比,我们发现深海噪声模态协方差的对角优势较弱。在我们的模型中,对角线元素和主对角线附近的大量非对角线元素都参与了建模过程,以确保准确性。可以通过忽略对角线元素的模拟和分析来引入误差。使用波传播理论,我们合理地解释了为什么噪声模态协方差矩阵的对角优势在深海中较弱。

著录项

  • 来源
    《OCEANS 2017 - Aberdeen》|2017年|1-6|共6页
  • 会议地点 Aberdeen(GB)
  • 作者单位

    School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, P. R. China;

    School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, P. R. China;

    School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, P. R. China;

    School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, P. R. China;

    School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, P. R. China;

    School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, P. R. China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Oceans; Covariance matrices; Numerical models; Green's function methods; Computational modeling; Receivers; Analytical models;

    机译:海洋;协方差矩阵;数值模型;格林函数方法;计算模型;接收器;分析模型;;

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