地球物理学进展 ›› 2013, Vol. 28 ›› Issue (6): 3317-3323.doi: 10.6038/pg20130662

• 应用地球物理 • 上一篇    下一篇

小波分析在海底沉积物声速原位测量中的应用

王景强1,2, 郭常升1, 付永涛1   

  1. 1. 中国科学院海洋研究所 海洋地质与环境重点实验室, 青岛 266071;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2013-04-10 修回日期:2013-10-10 出版日期:2013-12-20 发布日期:2013-12-20
  • 通讯作者: 郭常升,男,研究员.(E-mail:guochine@ms.qdio.ac.cn) E-mail:guochine@ms.qdio.ac.cn
  • 作者简介:王景强,男,1989年生,山东东阿人,博士研究生,研究方向为海洋地质声学.(E-mail:wang_jingqiang@yahoo.cn)
  • 基金资助:
    海洋公益性行业科研专项项目(200905025)资助.

The application of Wavelet Transform in Marine Sediments acoustic velocity in-situ measurement

WANG Jing-qiang1,2, GUO Chang-sheng1, FU Yong-tao1   

  1. 1. Key Laboratory of Marine Geology and Environment, Institute of Oceanology, the Chinese Academy of Sciences, Qingdao 266071, China;
    2. Graduate School of the Chinese Academy of Sciences, Beijing 100049, China
  • Received:2013-04-10 Revised:2013-10-10 Online:2013-12-20 Published:2013-12-20

摘要: 本文利用海底地质声学原位测量系统样机在胶州湾海域进行了海上试验,测量了近海海域复杂沉积环境下的声学参数,获得了3个典型站位沉积物和2 m深处海水的声波信号.在处理声波信号时,不是采用传统的人工读取信号起跳点的方法,而是采用小波变换分析方法读取起跳点.利用小波分解原始信号,得到细节信号的模极大值连线,确定原始信号的畸变点,从而计算出沉积物和海水的声速值.结合Wilson经验公式计算海水的声速,与测量系统直接测量的海水声速进行了对比,结果仅差1 m/s左右,证明小波变换能够精确地读取该测量系统记录的声波信号起跳点,可以提高沉积物声速原位测量的精确度.

Abstract: The paper used the in situ acoustic measurement system to carry out an experimental study in Jiao-Zhou Bay. This study measured acoustic parameters of the complex sedimentary environment in the coastal waters, and obtained sediment and sea water acoustic signals of 3 measure positions. Different from the traditional method of artificial reading take-off point, wavelet analysis was introduced to read take-off point. Using the wavelet transform to decompose the original signal, this study can get the connecting line of maximal modulus of the details, and determine the distorted point of original signal. Thus, the sediment acoustic velocity and sea water acoustic speed could be calculated accurately. This paper also used the Wilson's empirical equation to calculate the sea water acoustic speed. Contrast with the direct measurement result by in-situ measure system, there was merely about 1 m/s distinction. The comparison result proved that wavelet transform can read take-off point of the acoustic signals accurately and improve the accuracy of marine sediments acoustic velocity of in situ measurement.

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