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Inversion of the physical properties of seafloor surface sediments based on AUV sub-bottom profile data in the northern slope of the South China Sea

Based on the seafloor reflection coefficient obtained from autonomous underwater vehicle (AUV) sub-bottom profile survey data of the northern slope of the South China Sea, combined with the sample test data of seafloor surface sediments, we use the Biot–Stoll model to establish the equations relatin...

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Autores principales: Zhou, Qingjie, Li, Xishuang, Huang, Bigui, Liu, Lejun, Gao, Shan, Zhou, Hang, Liu, Jie, Liu, Baohua, Zhang, Chengyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985377/
https://www.ncbi.nlm.nih.gov/pubmed/33753846
http://dx.doi.org/10.1038/s41598-021-86161-x
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author Zhou, Qingjie
Li, Xishuang
Huang, Bigui
Liu, Lejun
Gao, Shan
Zhou, Hang
Liu, Jie
Liu, Baohua
Zhang, Chengyi
author_facet Zhou, Qingjie
Li, Xishuang
Huang, Bigui
Liu, Lejun
Gao, Shan
Zhou, Hang
Liu, Jie
Liu, Baohua
Zhang, Chengyi
author_sort Zhou, Qingjie
collection PubMed
description Based on the seafloor reflection coefficient obtained from autonomous underwater vehicle (AUV) sub-bottom profile survey data of the northern slope of the South China Sea, combined with the sample test data of seafloor surface sediments, we use the Biot–Stoll model to establish the equations relating the seafloor reflection coefficient to the porosity, density, and mean grain size of the sediments at the dominant frequency of 5 kHz (the dominant frequency of the AUV sub-bottom profiler). The physical property parameters such as the porosity, density, and mean grain size of seafloor surface sediments are further inverted. Comparison of inversion results with measured results shows that the overall deviation ratios of the inverted mean grain size, porosity, and density of the surface sediments are in the ranges of − 13.56 to 14.44%, − 6.15 to 8.06%, and − 10.85 to 0.46%, respectively. Among them, the mean grain size directly reflects the size of seafloor sediment particles, and the particles are finer in deeper water. Overall, the inversion results are basically consistent with the measured values and thus can well reflect the variation characteristics of the physical properties of seafloor surface sediments.
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spelling pubmed-79853772021-03-25 Inversion of the physical properties of seafloor surface sediments based on AUV sub-bottom profile data in the northern slope of the South China Sea Zhou, Qingjie Li, Xishuang Huang, Bigui Liu, Lejun Gao, Shan Zhou, Hang Liu, Jie Liu, Baohua Zhang, Chengyi Sci Rep Article Based on the seafloor reflection coefficient obtained from autonomous underwater vehicle (AUV) sub-bottom profile survey data of the northern slope of the South China Sea, combined with the sample test data of seafloor surface sediments, we use the Biot–Stoll model to establish the equations relating the seafloor reflection coefficient to the porosity, density, and mean grain size of the sediments at the dominant frequency of 5 kHz (the dominant frequency of the AUV sub-bottom profiler). The physical property parameters such as the porosity, density, and mean grain size of seafloor surface sediments are further inverted. Comparison of inversion results with measured results shows that the overall deviation ratios of the inverted mean grain size, porosity, and density of the surface sediments are in the ranges of − 13.56 to 14.44%, − 6.15 to 8.06%, and − 10.85 to 0.46%, respectively. Among them, the mean grain size directly reflects the size of seafloor sediment particles, and the particles are finer in deeper water. Overall, the inversion results are basically consistent with the measured values and thus can well reflect the variation characteristics of the physical properties of seafloor surface sediments. Nature Publishing Group UK 2021-03-22 /pmc/articles/PMC7985377/ /pubmed/33753846 http://dx.doi.org/10.1038/s41598-021-86161-x Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhou, Qingjie
Li, Xishuang
Huang, Bigui
Liu, Lejun
Gao, Shan
Zhou, Hang
Liu, Jie
Liu, Baohua
Zhang, Chengyi
Inversion of the physical properties of seafloor surface sediments based on AUV sub-bottom profile data in the northern slope of the South China Sea
title Inversion of the physical properties of seafloor surface sediments based on AUV sub-bottom profile data in the northern slope of the South China Sea
title_full Inversion of the physical properties of seafloor surface sediments based on AUV sub-bottom profile data in the northern slope of the South China Sea
title_fullStr Inversion of the physical properties of seafloor surface sediments based on AUV sub-bottom profile data in the northern slope of the South China Sea
title_full_unstemmed Inversion of the physical properties of seafloor surface sediments based on AUV sub-bottom profile data in the northern slope of the South China Sea
title_short Inversion of the physical properties of seafloor surface sediments based on AUV sub-bottom profile data in the northern slope of the South China Sea
title_sort inversion of the physical properties of seafloor surface sediments based on auv sub-bottom profile data in the northern slope of the south china sea
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985377/
https://www.ncbi.nlm.nih.gov/pubmed/33753846
http://dx.doi.org/10.1038/s41598-021-86161-x
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