| 基于Chirp数据和Biot-Stoll模型反演南海北部陆坡海底表层沉积物物理性质 |
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| 引用本文： | 周庆杰,李西双,刘乐军,刘洋廷,高珊,周航,王景强,李天光.基于Chirp数据和Biot-Stoll模型反演南海北部陆坡海底表层沉积物物理性质[J].海洋学报,2020,42(3):72-82. |
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| 作者姓名： | 周庆杰 李西双 刘乐军 刘洋廷 高珊 周航 王景强 李天光 |
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| 作者单位： | 1.自然资源部第一海洋研究所 海洋沉积与环境地质国家海洋局重点实验室，山东 青岛 266061 |
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| 基金项目： | 全球变化与海气相互作用（GASI-GEOGE-05）；国家自然科学基金（41876061）；国家重点研发计划（2016YFC0301403）；基于地球物理属性数据反演工程地质参数研究。 |
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| 摘 要： | 浅地层剖面是基于声学信号(频率在几百至几千赫兹)在沉积物中的传播得到可反映沉积地层结构的数据，海底反射系数与沉积物物理性质密切相关。Biot-Stoll声波传播理论模型可以预测海底沉积物的物理性质，构建反射系数等声学参数与物理参数之间的关系，但在不同的海域采用不同的参数所获得的效果不同。为此，本文基于南海北部陆坡海底表层沉积物的实测物理参数，利用Biot-Stoll模型建立研究区海底反射系数和沉积物物理性质之间的关系，结果表明模型计算值与样品实测值吻合度总体较好，偏差在0.1%～4.9%之间，并建立了频率3.5 kHz时海底反射系数与沉积物孔隙度、密度、平均粒径之间的关系方程，且方程拟合度较高，可决系数R2均大于0.99。在对典型Chirp剖面数据计算其海底反射系数的基础上，反演了海底表层沉积物的孔隙度、密度、颗粒平均粒径等物理性质，其中反演孔隙度、密度、平均粒径与实测孔隙度、密度、平均粒径相对误差均小于5%，结果与实测值基本相符，表明该反演方法在南海北部陆坡区的应用是可行的。
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| 关 键 词： | Chirp浅剖数据 Biot-Stoll模型 海底反射系数 沉积物物理性质 南海北部陆坡 |
| 收稿时间： | 2019/5/21 0:00:00 |
| 修稿时间： | 2019/8/27 0:00:00 |
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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| Zhou Qingjie,Li Xishuang,Liu Lejun,Liu Yangting,Gao Shan,Zhou Hang,Wang Jingqiang and Li Tianguang.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].Acta Oceanologica Sinica (in Chinese),2020,42(3):72-82. |
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| Authors: | Zhou Qingjie Li Xishuang Liu Lejun Liu Yangting Gao Shan Zhou Hang Wang Jingqiang and Li Tianguang |
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| Institution: | 1.Key Laboratory of Marine Sedimentology and Environmental Geology, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China2.Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266061, China3.Laboratory for Marine Mineral Resources, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266071, China |
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| Abstract: | 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. |
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| Keywords: | Chirp sub-bottom profile data Biot-Stoll model seabed reflection coefficient physical properties of sediments northern slope of the South China Sea |
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