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Physical properties of the seabed inversed based on Chirp data and the Biot-Stoll model in the northern continental slope of the South China Sea
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Qingjie Zhou1, 2, Xishuang Li1, 3, *, Lejun Liu1, Yangting Liu1, 2, Shan Gao1, 2, Hang Zhou1, Jingqiang Wang1, 2, Tianguang Li1
Haiyang Xuebao | 2020, 42(3) : 72 - 82
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Haiyang Xuebao | 2020, 42(3): 72-82
• Marine Geology •
Physical properties of the seabed inversed based on Chirp data and the Biot-Stoll model in the northern continental slope of the South China Sea
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Qingjie Zhou1, 2, Xishuang Li1, 3, *, Lejun Liu1, Yangting Liu1, 2, Shan Gao1, 2, Hang Zhou1, Jingqiang Wang1, 2, Tianguang Li1
Affiliations
  • 1 Key Laboratory of Marine Sedimentology and Environmental Geology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
  • 2 Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266061, China
  • 3 Laboratory for Marine Mineral Resources, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266071, China
Published: 2020-03-25 doi: 10.3969/j.issn.0253-4193.2020.03.007
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Sub-bottom profile is based on the acoustic signal (frequency in hundreds to thousands Hz) in the sediment propagation to reflect the sedimentary formation structure. The seabed reflection coefficient is closely related to the sediments physical properties. The Biot-Stoll theoretical model can predict the physical properties of seabed sediments and establish the relationship between acoustic parameters such as reflection coefficient and physical parameters, but the results obtained by using different parameters in different sea areas are different. For this, this article is based on the measured sediments physical parameters in the northern slope of the South China Sea to establish the relationship between the reflection coefficient and the sediments physical parameters based on Biot-Stoll model. The results show that the calculated value of the model is in good agreement with the measured value of the sample, and the equation for the relationship between the bottom reflection coefficient and the porosity, density, mean grain size of sediments at a frequency of 3.5 kHz is established. The equation has a high fitting degree, and the determination coefficient R2 is all greater than 0.99. On the basis of calculating the seabed reflection coefficient by the typical Chirp profile data, the porosity, density and mean grain size of the sub-bottom sediments are inversed. The relative errors of the inversion porosity, density, mean grain size and the measured porosity, density, mean grain size are all less than 5%, and the results are basically consistent with the measured values, indicating that the inversion method is feasible in the northern continental slope area of the South China Sea.

Chirp sub-bottom profile data  /  Biot-Stoll model  /  seabed reflection coefficient  /  physical properties of sediments  /  northern slope of the South China Sea
Qingjie Zhou, Xishuang Li, Lejun Liu, Yangting Liu, Shan Gao, Hang Zhou, Jingqiang Wang, Tianguang Li. Physical properties of the seabed inversed based on Chirp data and the Biot-Stoll model in the northern continental slope of the South China Sea[J]. Haiyang Xuebao, 2020 , 42 (3) : 72 -82 . DOI: 10.3969/j.issn.0253-4193.2020.03.007
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Year 2020 volume 42 Issue 3
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Article Info
doi: 10.3969/j.issn.0253-4193.2020.03.007
  • Receive Date：2019-05-21
  • Online Date：2026-03-26
  • Published：2020-03-25
Article Data
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History
  • Received：2019-05-21
  • Revised：2019-08-27
Funding
Affiliations
    1 Key Laboratory of Marine Sedimentology and Environmental Geology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
    2 Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266061, China
    3 Laboratory for Marine Mineral Resources, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266071, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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