A preliminary study on the acoustic properties of seafloor sediment in the southern U-boundary of the South China Sea

Zhengyu HOU; Danling TANG; Yao XIAO; Jingqiang WANG; Bo ZHANG; Xiaoming CUI; Peng HAO

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A preliminary study on the acoustic properties of seafloor sediment in the southern U-boundary of the South China Sea

Sedimentary processes and resource potential in the South China Sea | Updated：2024-10-12

- A preliminary study on the acoustic properties of seafloor sediment in the southern U-boundary of the South China Sea
- A preliminary study on the acoustic properties of seafloor sediment in the southern U-boundary of the South China Sea
- 海洋湖沼学报(英文) 2023年41卷第2期页码：687-693
- Affiliations：
  
  1.School of Ocean Engineering and Technology, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China
  2.Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 511458, China
  3.Key Laboratory of Marine Geology and Metallogeny, First Institute of Oceanography, Ministry of Natural Resources (MNR), Qingdao 266061, China
  4.Beijing Information Science & Technology University, Beijing 100192, China
  5.Naval Research Institute, Tianjin 300000, China
  6.Engineering Technology Branch Company of CNOOC Energy Technology & Services Limited, CNOOC Experimental Center, Tianjin 300000, China
  7.State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
- Author bio：
  
  zyhou2022@163.com
  xiaoyao114@outlook.com
- Funds：
  
  the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)(2019BT02H594);the National Key R&D Program of China(2021YFF0501202);the Youth Innovation Promotion Association CAS, the National Natural Science Foundation of China(41706045;42176191;41773039;U22A2012);the Rising Star Foundation of the Integrated Research Center for Islands and Reefs Sciences, CAS(ZDRW-XH-2021-2-03);the CAS Key Laboratory of Science and Technology on Operational Oceanography Open Project Funding(OOST2021-01);the Guangdong Natural Science Foundation(2017A030313237);the State Key Laboratory of Acoustics, Chinese Academy of Sciences(SKLA202007;SKLA202106)
- DOI：
  中图分类号：
- 收稿：2021-11-30，
  
  纸质出版：2023-03-01
- Accepted：
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A preliminary study on the acoustic properties of seafloor sediment in the southern U-boundary of the South China Sea[J]. 海洋湖沼学报(英文), 2023,41(2):687-693.

HOU Zhengyu,TANG Danling,XIAO Yao,et al.A preliminary study on the acoustic properties of seafloor sediment in the southern U-boundary of the South China Sea[J].Journal of Oceanology and Limnology,2023,41(02):687-693.
A preliminary study on the acoustic properties of seafloor sediment in the southern U-boundary of the South China Sea[J]. 海洋湖沼学报(英文), 2023,41(2):687-693. DOI：

HOU Zhengyu,TANG Danling,XIAO Yao,et al.A preliminary study on the acoustic properties of seafloor sediment in the southern U-boundary of the South China Sea[J].Journal of Oceanology and Limnology,2023,41(02):687-693. DOI：

摘要

Abstract

The acoustic properties of seafloor sediment are essential parameters in the exploration of marine resources

ocean scientific research and ocean engineering. Seafloor sediment samples were collected at the southern U-boundary of the South China Sea (SCS)

and the acoustic and physical properties were measured in the laboratory. The correlation between physical and sound speed ratio (SSR) was discussed

and SSR-physical property empirical regressions in the Sunda Shelf were established for the first time. Compared with the northern continental shelf of SCS

the Sunda Shelf are mainly silty and sand sediment

and the SSR ranges from 0.994 9 to 1.094 4

which has higher SSR than the northern continental shelf

implies that the Sunda Shelf is a high SSR area. Since the same kind of sediment has different physical properties

the single physical parameter of sediment cannot fully represent the acoustic properties of sediment

therefore

the multiple parameter prediction model should develop in the future to improve the prediction precision.

关键词

Keywords

references

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