An Inversion Method for Geoacoustic Parameters in Shallow Water Based on Bottom Reflection Signals

The inversion method based on the reflection loss-grazing angle curve is an effective tool to obtain local underwater acoustic parameters. Because geoacoustic parameters vary in sensitivity to grazing angle, it is difficult to get accurate results in geoacoustic parameter inversion based on small-gr...

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Main Authors: Zhuo Wang, Yuxuan Ma, Guangming Kan, Baohua Liu, Xinghua Zhou, Xiaobo Zhang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/13/3237
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author Zhuo Wang
Yuxuan Ma
Guangming Kan
Baohua Liu
Xinghua Zhou
Xiaobo Zhang
author_facet Zhuo Wang
Yuxuan Ma
Guangming Kan
Baohua Liu
Xinghua Zhou
Xiaobo Zhang
author_sort Zhuo Wang
collection DOAJ
description The inversion method based on the reflection loss-grazing angle curve is an effective tool to obtain local underwater acoustic parameters. Because geoacoustic parameters vary in sensitivity to grazing angle, it is difficult to get accurate results in geoacoustic parameter inversion based on small-grazing-angle data in shallow water. In addition, the normal-mode model commonly used in geoacoustic parameter inversion fails to meet the needs of accurate local sound field simulation as the influence of the secant integral is ignored. To solve these problems, an acoustic data acquisition scheme was rationally designed based on a sparker source, a fixed vertical array, and ship drifting with the swell, which could balance the trade-off among signal transmission efficiency and signal stability, and the actual local acoustic data at low-to-mid frequencies were acquired at wide grazing angles in the South Yellow Sea area. Furthermore, the bottom reflection coefficients (bottom reflection losses) corresponding to different grazing angles were calculated based on the wavenumber integration method. The local seafloor sediment parameters were then estimated using the genetic algorithm and the bottom reflection loss curve with wide grazing angles, obtaining more accurate local acoustic information. The seafloor acoustic velocity inverted is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>c</mi><mi>p</mi></msub><mo>=</mo><mn>1659</mn><mrow><mo> </mo><mi mathvariant="normal">m</mi><mo>/</mo><mi mathvariant="normal">s</mi></mrow></mrow></semantics></math></inline-formula> and the sound attenuation is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>α</mi><mi>p</mi></msub><mo>=</mo><mn>0.656</mn><mrow><mo> </mo><mi>dB</mi><mo>/</mo></mrow><mi mathvariant="sans-serif">λ</mi></mrow></semantics></math></inline-formula> in the South Yellow Sea. Relevant experimental results indicate that the method described in this study is feasible for local inversion of geoacoustic parameters for seafloor sediments. Compared with conventional large-scale inversion methods, in areas where there are significant changes in the seabed sediment level, this method can obtain more accurate local acoustic features within small-scale areas.
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spelling doaj.art-e35d85573faf49ba84c5c56a39f2e87a2023-11-18T17:23:20ZengMDPI AGRemote Sensing2072-42922023-06-011513323710.3390/rs15133237An Inversion Method for Geoacoustic Parameters in Shallow Water Based on Bottom Reflection SignalsZhuo Wang0Yuxuan Ma1Guangming Kan2Baohua Liu3Xinghua Zhou4Xiaobo Zhang5College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaLaboratory for Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266061, ChinaLaboratory for Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266061, ChinaFirst Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, ChinaCollege of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, ChinaThe inversion method based on the reflection loss-grazing angle curve is an effective tool to obtain local underwater acoustic parameters. Because geoacoustic parameters vary in sensitivity to grazing angle, it is difficult to get accurate results in geoacoustic parameter inversion based on small-grazing-angle data in shallow water. In addition, the normal-mode model commonly used in geoacoustic parameter inversion fails to meet the needs of accurate local sound field simulation as the influence of the secant integral is ignored. To solve these problems, an acoustic data acquisition scheme was rationally designed based on a sparker source, a fixed vertical array, and ship drifting with the swell, which could balance the trade-off among signal transmission efficiency and signal stability, and the actual local acoustic data at low-to-mid frequencies were acquired at wide grazing angles in the South Yellow Sea area. Furthermore, the bottom reflection coefficients (bottom reflection losses) corresponding to different grazing angles were calculated based on the wavenumber integration method. The local seafloor sediment parameters were then estimated using the genetic algorithm and the bottom reflection loss curve with wide grazing angles, obtaining more accurate local acoustic information. The seafloor acoustic velocity inverted is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>c</mi><mi>p</mi></msub><mo>=</mo><mn>1659</mn><mrow><mo> </mo><mi mathvariant="normal">m</mi><mo>/</mo><mi mathvariant="normal">s</mi></mrow></mrow></semantics></math></inline-formula> and the sound attenuation is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>α</mi><mi>p</mi></msub><mo>=</mo><mn>0.656</mn><mrow><mo> </mo><mi>dB</mi><mo>/</mo></mrow><mi mathvariant="sans-serif">λ</mi></mrow></semantics></math></inline-formula> in the South Yellow Sea. Relevant experimental results indicate that the method described in this study is feasible for local inversion of geoacoustic parameters for seafloor sediments. Compared with conventional large-scale inversion methods, in areas where there are significant changes in the seabed sediment level, this method can obtain more accurate local acoustic features within small-scale areas.https://www.mdpi.com/2072-4292/15/13/3237geoacoustic inversionbottom reflection losswavenumber integration methodSouth Yellow Sea
spellingShingle Zhuo Wang
Yuxuan Ma
Guangming Kan
Baohua Liu
Xinghua Zhou
Xiaobo Zhang
An Inversion Method for Geoacoustic Parameters in Shallow Water Based on Bottom Reflection Signals
Remote Sensing
geoacoustic inversion
bottom reflection loss
wavenumber integration method
South Yellow Sea
title An Inversion Method for Geoacoustic Parameters in Shallow Water Based on Bottom Reflection Signals
title_full An Inversion Method for Geoacoustic Parameters in Shallow Water Based on Bottom Reflection Signals
title_fullStr An Inversion Method for Geoacoustic Parameters in Shallow Water Based on Bottom Reflection Signals
title_full_unstemmed An Inversion Method for Geoacoustic Parameters in Shallow Water Based on Bottom Reflection Signals
title_short An Inversion Method for Geoacoustic Parameters in Shallow Water Based on Bottom Reflection Signals
title_sort inversion method for geoacoustic parameters in shallow water based on bottom reflection signals
topic geoacoustic inversion
bottom reflection loss
wavenumber integration method
South Yellow Sea
url https://www.mdpi.com/2072-4292/15/13/3237
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