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...
Main Authors: | , , , , , |
---|---|
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 |
_version_ | 1827734666319233024 |
---|---|
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. |
first_indexed | 2024-03-11T01:30:47Z |
format | Article |
id | doaj.art-e35d85573faf49ba84c5c56a39f2e87a |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-11T01:30:47Z |
publishDate | 2023-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
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 |
work_keys_str_mv | AT zhuowang aninversionmethodforgeoacousticparametersinshallowwaterbasedonbottomreflectionsignals AT yuxuanma aninversionmethodforgeoacousticparametersinshallowwaterbasedonbottomreflectionsignals AT guangmingkan aninversionmethodforgeoacousticparametersinshallowwaterbasedonbottomreflectionsignals AT baohualiu aninversionmethodforgeoacousticparametersinshallowwaterbasedonbottomreflectionsignals AT xinghuazhou aninversionmethodforgeoacousticparametersinshallowwaterbasedonbottomreflectionsignals AT xiaobozhang aninversionmethodforgeoacousticparametersinshallowwaterbasedonbottomreflectionsignals AT zhuowang inversionmethodforgeoacousticparametersinshallowwaterbasedonbottomreflectionsignals AT yuxuanma inversionmethodforgeoacousticparametersinshallowwaterbasedonbottomreflectionsignals AT guangmingkan inversionmethodforgeoacousticparametersinshallowwaterbasedonbottomreflectionsignals AT baohualiu inversionmethodforgeoacousticparametersinshallowwaterbasedonbottomreflectionsignals AT xinghuazhou inversionmethodforgeoacousticparametersinshallowwaterbasedonbottomreflectionsignals AT xiaobozhang inversionmethodforgeoacousticparametersinshallowwaterbasedonbottomreflectionsignals |