Inversion of shallow seabed structure and geoacoustic parameters with waveguide characteristic impedance based on Bayesian approach

被引:4
|
作者
Zhu, Hanhao [1 ,2 ]
Xue, Yangyang [3 ]
Ren, Qunyan [4 ,5 ]
Liu, Xu [2 ]
Wang, Jiahui [6 ]
Cui, Zhiqiang [6 ]
Zhang, Shu [7 ]
Fan, Huili [7 ]
机构
[1] Donghai Lab, Zhoushan, Peoples R China
[2] Zhejiang Ocean Univ, Inst Marine Sci & Technol, Zhoushan, Peoples R China
[3] Harbin Engn Univ, Coll Underwater Acoust Engn, Harbin, Peoples R China
[4] Chinese Acad Sci, Key Lab Underwater Acoust Environm, Beijing, Peoples R China
[5] Chinese Acad Sci, Inst Acoust, Beijing, Peoples R China
[6] Zhejiang Ocean Univ, Sch Naval Architecture & Maritime, Zhoushan, Peoples R China
[7] China Ship Dev & Design Ctr, Wuhan, Peoples R China
关键词
shallow sea; geoacoustic parameters inversion; Bayesian approach; waveguide characteristic impedance; fast filed method; SHIP; WATER;
D O I
10.3389/fmars.2023.1104570
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Underwater acoustic technology is essential for ocean observation, exploration and exploitation, and its development is based on an accurate predication of underwater acoustic wave propagation. In shallow sea environments, the geoacoustic parameters, such as the seabed structure, the sound speeds, the densities, and the sound speed attenuations in seabed layers, would significantly affect the acoustic wave propagation characteristics. To obtain more accurate inversion results for these parameters, this study presents an inversion method using the waveguide characteristic impedance based on the Bayesian approach. In the inversion, the vertical waveguide characteristic impedance, which is the ratio of the pressure over the vertical particle velocity, is set as the matching object. The nonlinear Bayesian theory is used to invert the above geoacoustic parameters and analysis the uncertainty of the inversion results. The numerical studies and the sea experiment processing haven shown the validity of this inversion method. The numerical studies also proved that the vertical waveguide characteristic impedance is more sensitive to the geoacoustic parameters than that of single acoustic pressure or single vertical particle velocity, and the error of simulation inversion is within 3%. The sea experiment processing showed that the seabed layered structure and geoacoustic parameters can be accurately determined by this method. The root mean square between the vertical waveguide characteristic impedance and the measured impedance is 0.38dB, and the inversion results accurately represent the seabed characteristics in the experimental sea area.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] A back propagation neural network-based approach for inverting layered seabed acoustic parameters in shallow waters
    Wang, Jiahui
    Cui, Zhiqiang
    Zhu, Hanhao
    Meng, Lei
    Song, Weihua
    Liu, Xu
    FRONTIERS IN MARINE SCIENCE, 2024, 11
  • [42] Broad-band geoacoustic inversion in shallow water from waveguide impulse response measurements on a single hydrophone: Theory and experimental results
    Hermand, JP
    IEEE JOURNAL OF OCEANIC ENGINEERING, 1999, 24 (01) : 41 - 66
  • [43] Ship-noise based geoacoustic inversion via particle filtering of vertical specific acoustic impedance
    Ren, Qun-yan
    Hermand, Jean-Pierre
    2016 IEEE/OES CHINA OCEAN ACOUSTICS SYMPOSIUM (COA), 2016,
  • [44] The inversion of ocean waveguide parameters using a nonlinear least squares approach
    Knobles, DP
    Koch, RA
    Westwood, EK
    Udagawa, T
    JOURNAL OF COMPUTATIONAL ACOUSTICS, 1998, 6 (1-2) : 83 - 97
  • [45] A Bayesian Method for Sediments Sound Speed Structure Inversion with Seabed Multipath Time Delay in Deep Sea
    Hao, Wang
    Duan, Rui
    Yang, Kunde
    Guo, Yue
    OCEANS 2022, 2022,
  • [46] Lamé parameters inversion based on elastic impedance and its application
    Wang Baoli
    Yin Xingyao
    Zhang Fanchang
    Applied Geophysics, 2006, 3 (3) : 174 - 178
  • [47] Prestack seismic stochastic inversion based on statistical characteristic parameters
    Wang Bao-Li
    Lin Ying
    Zhang Guang-Zhi
    Yin Xing-Yao
    Zhao Chen
    APPLIED GEOPHYSICS, 2021, 18 (01) : 63 - 74
  • [48] Prestack seismic stochastic inversion based on statistical characteristic parameters
    Wang Bao-Li
    Lin Ying
    Zhang Guang-Zhi
    Yin Xing-Yao
    Zhao Chen
    Applied Geophysics, 2021, 18 : 63 - 74
  • [49] Bayesian geoacoustic parameter inversion based on dispersion characteristics of normal mode water wave and ground wave br
    Wang, Hao
    Rui, Duan
    Kun-De, Yang
    ACTA PHYSICA SINICA, 2023, 72 (05)
  • [50] A Bayesian approach to seismic inversion based on GASA algorithm
    Hu, Rui-qing
    Wang, Yan-chun
    Gao, Yang
    Cao, Shao-he
    Yue, Zhan-wei
    Wang, Qi
    ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (01)