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

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, t...

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Main Authors: Hanhao Zhu, Yangyang Xue, Qunyan Ren, Xu Liu, Jiahui Wang, Zhiqiang Cui, Shu Zhang, Huili Fan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Marine Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2023.1104570/full
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author Hanhao Zhu
Hanhao Zhu
Yangyang Xue
Qunyan Ren
Qunyan Ren
Xu Liu
Jiahui Wang
Zhiqiang Cui
Shu Zhang
Huili Fan
author_facet Hanhao Zhu
Hanhao Zhu
Yangyang Xue
Qunyan Ren
Qunyan Ren
Xu Liu
Jiahui Wang
Zhiqiang Cui
Shu Zhang
Huili Fan
author_sort Hanhao Zhu
collection DOAJ
description 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.
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spelling doaj.art-5d7bcf3f54c244ed98f4a9abb86c4dec2023-01-20T06:52:14ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452023-01-011010.3389/fmars.2023.11045701104570Inversion of shallow seabed structure and geoacoustic parameters with waveguide characteristic impedance based on Bayesian approachHanhao Zhu0Hanhao Zhu1Yangyang Xue2Qunyan Ren3Qunyan Ren4Xu Liu5Jiahui Wang6Zhiqiang Cui7Shu Zhang8Huili Fan9Donghai Laboratory, Zhoushan, ChinaInstitute of Marine Science and Technology, Zhejiang Ocean University, Zhoushan, ChinaCollege of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, ChinaKey Laboratory of Underwater Acoustic Environment, Chinese Academy of Sciences, Beijing, ChinaInstitute of Acoustics, Chinese Academy of Sciences, Beijing, ChinaInstitute of Marine Science and Technology, Zhejiang Ocean University, Zhoushan, ChinaSchool of Naval Architecture and Maritime, Zhejiang Ocean University, Zhoushan, ChinaSchool of Naval Architecture and Maritime, Zhejiang Ocean University, Zhoushan, ChinaChina Ship Development and Design Center, Wuhan, ChinaChina Ship Development and Design Center, Wuhan, ChinaUnderwater 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.https://www.frontiersin.org/articles/10.3389/fmars.2023.1104570/fullshallow seageoacoustic parameters inversionBayesian approachwaveguide characteristic impedancefast filed method
spellingShingle Hanhao Zhu
Hanhao Zhu
Yangyang Xue
Qunyan Ren
Qunyan Ren
Xu Liu
Jiahui Wang
Zhiqiang Cui
Shu Zhang
Huili Fan
Inversion of shallow seabed structure and geoacoustic parameters with waveguide characteristic impedance based on Bayesian approach
Frontiers in Marine Science
shallow sea
geoacoustic parameters inversion
Bayesian approach
waveguide characteristic impedance
fast filed method
title Inversion of shallow seabed structure and geoacoustic parameters with waveguide characteristic impedance based on Bayesian approach
title_full Inversion of shallow seabed structure and geoacoustic parameters with waveguide characteristic impedance based on Bayesian approach
title_fullStr Inversion of shallow seabed structure and geoacoustic parameters with waveguide characteristic impedance based on Bayesian approach
title_full_unstemmed Inversion of shallow seabed structure and geoacoustic parameters with waveguide characteristic impedance based on Bayesian approach
title_short Inversion of shallow seabed structure and geoacoustic parameters with waveguide characteristic impedance based on Bayesian approach
title_sort inversion of shallow seabed structure and geoacoustic parameters with waveguide characteristic impedance based on bayesian approach
topic shallow sea
geoacoustic parameters inversion
Bayesian approach
waveguide characteristic impedance
fast filed method
url https://www.frontiersin.org/articles/10.3389/fmars.2023.1104570/full
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