Zhou Qingjie, Li Xishuang, Huang Bigui, Liu Lejun, Gao Shan, Zhou Hang, Liu Jie, Liu Baohua, Zhang Chengyi
Key Laboratory of Marine Geology and Metallogeny, First Institute of Oceanography, MNR, Qingdao, 266061, People's Republic of China.
Function Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology, Qingdao, 266061, People's Republic of China.
Sci Rep. 2021 Mar 22;11(1):6539. doi: 10.1038/s41598-021-86161-x.
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.
基于南海北部陆坡区域自主水下航行器（AUV）浅地层剖面测量数据获取的海底反射系数，并结合海底表层沉积物的样品测试数据，我们利用Biot-Stoll模型建立了在5kHz主频（AUV浅地层剖面仪的主频）下海底反射系数与沉积物孔隙度、密度和平均粒径之间的关系式。进而反演海底表层沉积物的孔隙度、密度和平均粒径等物性参数。反演结果与实测结果对比表明，表层沉积物反演的平均粒径、孔隙度和密度的整体偏差率分别在-13.56%至14.44%、-6.15%至8.06%和-10.85%至0.46%范围内。其中，平均粒径直接反映海底沉积物颗粒大小，水深越大颗粒越细。总体而言，反演结果与实测值基本一致，能够较好地反映海底表层沉积物物性的变化特征。
