Search

Article

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Estimating structure and geoacoustic parameters of sub-bottom by using spatial characteristics of ocean ambient noise in shallow water

Li He Guo Xin-Yi Ma Li

Citation:

Estimating structure and geoacoustic parameters of sub-bottom by using spatial characteristics of ocean ambient noise in shallow water

Li He, Guo Xin-Yi, Ma Li
PDF
HTML
Get Citation
  • The field of ocean ambient noise contains numerous information about the water column, especially the information about the sub-bottom. The geoacoustics parameters of sub-bottom are very important factors influencing the spatial characteristics of ocean ambient noise field. For different layered structures of the sub-bottom, the bottom-loss shows different critical angles according to sound speed of each layer, while the structure of interference fringe is dependent on the thickness of the sediment. Flux theory of ocean ambient noise proposed by Harrison is used in this paper. Using this theory, the curve of bottom-loss can be extracted by computing the ratio between the energy of the upward wave and the downward wave. From the ideal reflection coefficient, the influence of sound speed, density and attenuation coefficient on reflection coefficient are discussed in the situation of the sub-bottom of acoustic half space, while the reflection coefficient of 1 layer of sediment is simplified. Initially, the reflection coefficient is the sum of sound waves reflect from the sub-bottom transmitted from the same source at the same angle. Only the first two terms are reserved, so that the mechanism of the interference fringe can be easily discussed. The structure of interference fringe can be explained which is affected by the thickness of the sediment. The curve of bottom-loss oscillates periodically with the increase of the thickness of the sub-bottom. Also by the reciprocity principle, the interference fringe of the reflection coefficient can be explained by considering the sound transmitted from two point sources at the surface of the sea. In this way the same result can be obtained as that from the method of simplification. The result of the experiment in China Yellow Sea shows that the information about the reflection coefficient of the sub-bottom can be extracted by the vertical azimuth spectrum of ocean ambient noise. In this way, the critical angle can be obtained, so that the sound speed of the sub-bottom can be estimated by using Snell law. The structure of the interference fringe is also contained in the bottom-loss curve estimated by ocean ambient noise. Therefore the layered structure, sound speed and the thickness of the layer of the sub-bottom can be estimated.
      Corresponding author: Guo Xin-Yi, guoxinyi@mail.ioa.ac.cn
    • Funds: Project supported by the National Natural Science Foundation of China (Grant No. 11874384)
    [1]

    Wenz G M 1962 J. Acoust. Soc. Am. 34 1936Google Scholar

    [2]

    Kuperman W A, Ingenito F 1980 J. Acoust. Soc. Am. 67 1988Google Scholar

    [3]

    HarrisonC H 1996 J. Acoust. Soc. Am. 99 2055Google Scholar

    [4]

    林建恒 2002 博士学位论文 (北京: 中国科学院研究生院)

    Lin J H 2002 Ph. D. Dissertation (Beijing: Graduate University of Chinese Academy of Science) (in Chinese)

    [5]

    张乾初 2017 博士学位论文 (北京: 中国科学院大学)

    Zhang Q C 2017 Ph. D. Dissertation (Beijing: University of Chinese Academy of Science) (in Chinese)

    [6]

    郭新毅, 铁广鹏, 李凡, 马力 2014 物理 43 723

    Guo X Y, Tie G P, Li F, Ma L 2014 Physics 43 723

    [7]

    江鹏飞, 林建恒, 孙军平, 衣雪娟 2017 66 014306Google Scholar

    Jiang P F, Lin J H, Sun J P, Yi X J 2017 Acta Phys. Sin. 66 014306Google Scholar

    [8]

    蒋光禹, 孙超, 谢磊, 刘雄厚 2019 68 024302Google Scholar

    Jiang G Y, Sun C, Xie L, Liu X H 2019 Acta Phys. Sin. 68 024302Google Scholar

    [9]

    Zeng J, Chapman N R, Bonnel J 2013 J. Acoust. Soc. Am. 134 EL394Google Scholar

    [10]

    李梦竹, 李整林, 周纪浔, 张仁和 2019 68 094301Google Scholar

    Li M Z, Li Z L, Zhou J X, Zhang R H 2019 Acta Phys. Sin. 68 094301Google Scholar

    [11]

    周建波, 朴胜春, 刘亚琴, 张海刚, 屈科, 李晓曼, 张明辉 2019 声学学报 44 337

    Zhou J B, Piao S C, Liu Y Q, Zhang H G, Qu K, Li X M, Zhang M H 2019 Acta Acoust. 44 337

    [12]

    江鹏飞, 林建恒, 马力, 殷宝友, 蒋国建 2016 声学学报 41 59

    Jiang P F, Lin J H, Ma Li, Yin B Y, Jiang G J 2016 Acta Acoust. 41 59

    [13]

    骆文于 2002 博士学位论文 (北京: 中国科学院声学研究所)

    Luo W Y 2002 Ph. D. Dissertation (Beijing: Institute of Acoustics, Chinese Academy of Science) (in Chinese) (in Chinese)

    [14]

    布列霍夫斯基Л М 著 (山东省海洋学院海洋物理系, 中国科学院声学研究所水声研究室 译) 1983 海洋声学 (北京: 科学出版社) 第516−520页

    Бреховских Л М (translated by Department of Oceanophysics Shandong College of Oceanology, Laboratory of Underwater Acoustic Institute of Acoustics Chinese Academy of Science) 1983 Fundamentals of Ocean Acoustics (Beijing: Science Press) pp516−520 (in Chinese)

    [15]

    Harrison C H, Simons D G 2002 J. Acoust. Soc. Am. 112 1377Google Scholar

    [16]

    Harrison C H 2004 J. Acoust. Soc. Am. 115 1505Google Scholar

    [17]

    Siderius M, Harrison C H, Porter M B 2006 J. Acoust. Soc. Am. 120 1315Google Scholar

    [18]

    Muzi L, Siderius M, Quijano J E, Dosso S E 2015 J. Acoust. Soc. Am. 137 481

    [19]

    Muzi L, Siderius M, Nielsen P L 2016 J. Acoust. Soc. Am. 140 1513

    [20]

    Schmidt H 2004 OASES version 3.1 User Guide and Reference Manual (Cambridge, MA: Massachusetts Institute of Technology)

    [21]

    Jensen F B, KupermanW A, Porter M B, Schmidt H 2011 Computational Ocean Acoustics (2nd Ed.) (New York: Springer) pp38−43

    [22]

    Zeng J, Zhao Z D, Peng D Y, Ma L, Shang E C 2019 J. Acoust. Soc. Am. 145 EL243Google Scholar

  • 图 1  浅海中利用垂直阵接收噪声空间结构

    Figure 1.  Spatial structure of receiving ocean ambient noise using vertical line array in shallow water

    图 2  (a) 真实反射损失BL; (b) 根据噪声垂直空间指向性利用OASN模块仿真得到的$\widehat {BL}$; (c) 1800 Hz下两种方法的比较, 实线为BL, 虚线为$\widehat {BL}$

    Figure 2.  (a) True BL; (b) $\widehat {BL}$ computed by vertical directionality of ocean ambient noise using OASN; (c) two methods compare under 1800 Hz, the full line is BL, the imaginary line is $\widehat {BL}$

    图 3  1800 Hz下不同海底分层结构下的$\widehat {BL}$(实线为阵元遍布全海深, 点划线为42阵元, 间隔均为0.2 m) (a) 海底为无限大液体声学半空间; (b) 海底为单层沉积层

    Figure 3.  The $\widehat {BL}$ of different structure of sub-bottom under 1800 Hz: (a) Infinite acoustic half space; (b) 1 layer of sediment. The full line corresponds to the condition that the elements set across the sea. The imaginary line corresponds to the condition that 42 elements set at the depth of 30 m

    图 4  海底分层模型 (a)液体无限大声学半空间海底; (b) 存在一层沉积层海底

    Figure 4.  Model of sub-bottom stratification: (a) Infinite acoustic half space; (b) 1 layer of sediment

    图 5  Pekeris分支割线、极点和积分的复波数平面

    Figure 5.  Pekeris branch cut map

    图 6  不同谱域内噪声场的指向性和$\widehat {BL}$ (a), (b)连续谱部分噪声场; (c), (d) 离散谱部分噪声场; (e), (f)全谱域噪声场

    Figure 6.  Vertical directivity and $\widehat {BL}$ of ocean ambient noise in different spectral domain: (a), (b) Near field continuous spectrum; (c), (d) far field discrete spectrum; (e), (f) full spectrum domain

    图 7  不同海底参数下的BL (a)衰减系数$\alpha $; (b)声速c; (c)密度$\rho $

    Figure 7.  The BL under different parameters of sub-bottom: (a) Attenuation coefficient $\alpha $; (b) sound speed c; (c) density $\rho $

    图 8  单层沉积层海底反射模型

    Figure 8.  Reflection model of sub-bottom with 1 layer of sediment

    图 9  (a) (8)式计算的真实BL; (b) (10)式计算化简后的BL; (c) 1800 Hz下两条BL曲线

    Figure 9.  (a) True BL computed by equation (8); (b) BL after simplified computed by equation (10); (c) the curves of BL of two methods under 1800 Hz

    图 10  (10)式计算化简后的BL (横轴利用(7)式转为${\rm{sin}}{\theta _2}$)

    Figure 10.  Curve of BL after simplified computed by equation (10) with the horizontal axis converted to ${\rm{sin}}{\theta _2}$ by equation (7)

    图 11  (a) 42阵元设置在水下30 m处$\widehat {BL}$; (b) 1800 Hz下$\widehat {BL}$曲线

    Figure 11.  (a) $\widehat {BL}$ with 42 elements at the depth of 30 m; (b) the curve of $\widehat {BL}$ under 1800 Hz.

    图 12  实验实测海水声速剖面

    Figure 12.  Sound speed profile of the experiment

    图 13  第9组数据处理结果 (a) $\widehat {BL}$; (b) 1600 Hz下的$\widehat {BL}$曲线

    Figure 13.  Results of the 9th set of data: (a) $\widehat {BL}$; (b) curve of $\widehat {BL}$ under 1600 Hz

    图 14  第11组数据处理结果 (a) $\widehat {BL}$; (b) 1600 Hz下$\widehat {BL}$曲线

    Figure 14.  Results of the 11th set of data: (a) $\widehat {BL}$; (b) curve of $\widehat {BL}$ under 1600 Hz

    图 15  数据计算结果统计分布直方图 (a)沉积层声速; (b)基底声速; (c)沉积层厚度

    Figure 15.  Statistical distribution histogram of 20 sets of data: (a) Sound speed of the sediment; (b) sound speed of the basement; (c) thickness of the sediment

    图 16  浅地层剖面仪探测试验海区海底结构(图(b)中用黑点标明海底分界面)

    Figure 16.  Sub-bottom structure of the experimental area detected by sub-bottom profiler. The interface is marked by black spot in panel (b)

    表 1  海水及海底声学参数

    Table 1.  Parameters of ocean and sub-bottom

    介质
    类型
    声速
    c/m·s–1
    衰减系数
    α/dB·λ–1
    对水
    密度ρ
    深度
    H/m
    海水 1500 0 1 40
    沉积层 1600 0.2 1.5 3
    基底 2000 0.6 2
    DownLoad: CSV
    Baidu
  • [1]

    Wenz G M 1962 J. Acoust. Soc. Am. 34 1936Google Scholar

    [2]

    Kuperman W A, Ingenito F 1980 J. Acoust. Soc. Am. 67 1988Google Scholar

    [3]

    HarrisonC H 1996 J. Acoust. Soc. Am. 99 2055Google Scholar

    [4]

    林建恒 2002 博士学位论文 (北京: 中国科学院研究生院)

    Lin J H 2002 Ph. D. Dissertation (Beijing: Graduate University of Chinese Academy of Science) (in Chinese)

    [5]

    张乾初 2017 博士学位论文 (北京: 中国科学院大学)

    Zhang Q C 2017 Ph. D. Dissertation (Beijing: University of Chinese Academy of Science) (in Chinese)

    [6]

    郭新毅, 铁广鹏, 李凡, 马力 2014 物理 43 723

    Guo X Y, Tie G P, Li F, Ma L 2014 Physics 43 723

    [7]

    江鹏飞, 林建恒, 孙军平, 衣雪娟 2017 66 014306Google Scholar

    Jiang P F, Lin J H, Sun J P, Yi X J 2017 Acta Phys. Sin. 66 014306Google Scholar

    [8]

    蒋光禹, 孙超, 谢磊, 刘雄厚 2019 68 024302Google Scholar

    Jiang G Y, Sun C, Xie L, Liu X H 2019 Acta Phys. Sin. 68 024302Google Scholar

    [9]

    Zeng J, Chapman N R, Bonnel J 2013 J. Acoust. Soc. Am. 134 EL394Google Scholar

    [10]

    李梦竹, 李整林, 周纪浔, 张仁和 2019 68 094301Google Scholar

    Li M Z, Li Z L, Zhou J X, Zhang R H 2019 Acta Phys. Sin. 68 094301Google Scholar

    [11]

    周建波, 朴胜春, 刘亚琴, 张海刚, 屈科, 李晓曼, 张明辉 2019 声学学报 44 337

    Zhou J B, Piao S C, Liu Y Q, Zhang H G, Qu K, Li X M, Zhang M H 2019 Acta Acoust. 44 337

    [12]

    江鹏飞, 林建恒, 马力, 殷宝友, 蒋国建 2016 声学学报 41 59

    Jiang P F, Lin J H, Ma Li, Yin B Y, Jiang G J 2016 Acta Acoust. 41 59

    [13]

    骆文于 2002 博士学位论文 (北京: 中国科学院声学研究所)

    Luo W Y 2002 Ph. D. Dissertation (Beijing: Institute of Acoustics, Chinese Academy of Science) (in Chinese) (in Chinese)

    [14]

    布列霍夫斯基Л М 著 (山东省海洋学院海洋物理系, 中国科学院声学研究所水声研究室 译) 1983 海洋声学 (北京: 科学出版社) 第516−520页

    Бреховских Л М (translated by Department of Oceanophysics Shandong College of Oceanology, Laboratory of Underwater Acoustic Institute of Acoustics Chinese Academy of Science) 1983 Fundamentals of Ocean Acoustics (Beijing: Science Press) pp516−520 (in Chinese)

    [15]

    Harrison C H, Simons D G 2002 J. Acoust. Soc. Am. 112 1377Google Scholar

    [16]

    Harrison C H 2004 J. Acoust. Soc. Am. 115 1505Google Scholar

    [17]

    Siderius M, Harrison C H, Porter M B 2006 J. Acoust. Soc. Am. 120 1315Google Scholar

    [18]

    Muzi L, Siderius M, Quijano J E, Dosso S E 2015 J. Acoust. Soc. Am. 137 481

    [19]

    Muzi L, Siderius M, Nielsen P L 2016 J. Acoust. Soc. Am. 140 1513

    [20]

    Schmidt H 2004 OASES version 3.1 User Guide and Reference Manual (Cambridge, MA: Massachusetts Institute of Technology)

    [21]

    Jensen F B, KupermanW A, Porter M B, Schmidt H 2011 Computational Ocean Acoustics (2nd Ed.) (New York: Springer) pp38−43

    [22]

    Zeng J, Zhao Z D, Peng D Y, Ma L, Shang E C 2019 J. Acoust. Soc. Am. 145 EL243Google Scholar

  • [1] Wang Lei, Huang Yi-Wang, Guo Lin, Ren Chao. Acoustic scattering modeling and sound field characteristics of rough seafloor in shallow sea. Acta Physica Sinica, 2024, 73(3): 034301. doi: 10.7498/aps.73.20231472
    [2] Zhu Qi-Xuan, Sun Chao, Liu Xiong-Hou. Source depth estimation using angle-range interference pattern in deep ocean bottom bounce area. Acta Physica Sinica, 2022, 71(18): 184301. doi: 10.7498/aps.71.20220746
    [3] Ren Chao, Huang Yi-Wang, Xia Zhi. Modeling of spatial correlation characteristics of broadband ocean ambient noise vector field. Acta Physica Sinica, 2022, 71(2): 024301. doi: 10.7498/aps.71.20211518
    [4] Li Zhang-Long, Hu Chang-Qing, Zhao Mei, Qin Ji-Xing, Li Zheng-Lin, Yang Xue-Feng. Inversion of deep water geoacoustic parameters based on the seabed reflection characteristics of large grazing angles. Acta Physica Sinica, 2022, 71(11): 114302. doi: 10.7498/aps.71.20211915
    [5] Liu Dai, Li Zheng-Lin, Liu Ruo-Yun. Sound propagation in shallow water with periodic rough bottom. Acta Physica Sinica, 2021, 70(3): 034302. doi: 10.7498/aps.70.20201233
    [6] Modeling of Spatial Correlation Characteristics of Broadband Ocean Ambient Noise Vector Field. Acta Physica Sinica, 2021, (): . doi: 10.7498/aps.70.20211518
    [7] The Analysis on Acoustic field distribution of angle dimension in deep ocean bottom bounce area and the application on sonar vertical beam pitch. Acta Physica Sinica, 2020, (): 004300. doi: 10.7498/aps.69.20191652
    [8] Han Zhi-Bin, Peng Zhao-Hui, Liu Xiong-Hou. Analysis of sound field distribution of angle dimension in deep ocean bottom bounce area and its application to active sonar vertical beam pitch. Acta Physica Sinica, 2020, 69(11): 114301. doi: 10.7498/aps.69.20201652
    [9] Zhang Peng,  Li Zheng-Lin,  Wu Li-Xin,  Zhang Ren-He,  Qin Ji-Xing. Characteristics of convergence zone formed by bottom reflection in deep water. Acta Physica Sinica, 2019, 68(1): 014301. doi: 10.7498/aps.68.20181761
    [10] Li Sheng-Hao, Li Zheng-Lin, Li Wen, Qin Ji-Xing. Horizontal refraction effects of seamounts on sound propagation in deep water. Acta Physica Sinica, 2018, 67(22): 224302. doi: 10.7498/aps.67.20181480
    [11] Jiang Peng-Fei, Lin Jian-Heng, Sun Jun-Ping, Yi Xue-Juan. Ocean ambient noise model considering depth distribution of source and geo-acoustic inversion. Acta Physica Sinica, 2017, 66(1): 014306. doi: 10.7498/aps.66.014306
    [12] Hu Zhi-Guo, Li Zheng-Lin, Zhang Ren-He, Ren Yun, Qin Ji-Xing, He Li. Sound propagation in deep water with a sloping bottom. Acta Physica Sinica, 2016, 65(1): 014303. doi: 10.7498/aps.65.014303
    [13] Xia Hui-Jun, Ma Yuan-Liang, Liu Ya-Xiong. Analysis of the symmetry of the ambient noise and study of the noise reduction. Acta Physica Sinica, 2016, 65(14): 144302. doi: 10.7498/aps.65.144302
    [14] Li Qian-Qian, Yang Fan-Lin, Zhang Kai, Zheng Bing-Xiang. Moving source parameter estimation in an uncertain environment. Acta Physica Sinica, 2016, 65(16): 164304. doi: 10.7498/aps.65.164304
    [15] Liu Zong-Wei, Sun Chao, Xiang Long-Feng, Yi Feng. Robust source localization based on mode subspace reconstruction in uncertain shallow ocean environment. Acta Physica Sinica, 2014, 63(3): 034304. doi: 10.7498/aps.63.034304
    [16] Zhao Xian-Bin, Yan Wei, Wang Ying-Qiang, Lu Wen, Ma Shuo. Simulation study on the design of key technical parameters in marine environment sounding with fully polarimetric synthetic aperture radar based on ocean surface scattering model. Acta Physica Sinica, 2014, 63(21): 218401. doi: 10.7498/aps.63.218401
    [17] Zhou Tian, Li Hai-Sen, Zhu Jian-Jun, Wei Yu-Kuo. A geoacoustic estimation scheme based on bottom backscatter signals from multiple angles. Acta Physica Sinica, 2014, 63(8): 084302. doi: 10.7498/aps.63.084302
    [18] Qu Ke, Hu Chang-Qing, Zhao Mei. A rapid inversion scheme for seabed single parameter using time-domain impulse response. Acta Physica Sinica, 2013, 62(22): 224303. doi: 10.7498/aps.62.224303
    [19] Yang Kun-De, Ma Yuan-Liang. A geoacoustic inversion method based on bottom reflection signals. Acta Physica Sinica, 2009, 58(3): 1798-1805. doi: 10.7498/aps.58.1798
    [20] Li Xue-Gang, Yang Kun-De, Zhang Tong-Wei, Qiu Hai-Bin. An extraction method of seabed reflection loss based on towed tilted line array. Acta Physica Sinica, 2009, 58(11): 7741-7749. doi: 10.7498/aps.58.7741
Metrics
  • Abstract views:  10161
  • PDF Downloads:  120
  • Cited By: 0
Publishing process
  • Received Date:  28 May 2019
  • Accepted Date:  13 August 2019
  • Available Online:  01 November 2019
  • Published Online:  05 November 2019

/

返回文章
返回
Baidu
map