孙志文^1,2,3, 孙 蕾³, 李官保^3,4, 阚光明^3,4, 郭常升^1,2,4, 王景强^3,4, 孟祥梅^3,4
1.中国科学院海洋研究所, 中国科学院海洋地质与环境重点实验室;2.中国科学院大学;3.国家海洋局第一海洋研究所, 海洋沉积与环境地质国家海洋局重点实验室;4.青岛海洋科学与技术国家实验室海洋地质过程与环境功能实验室

摘要:
为研究深海海底沉积物声学特性与物理性质相关关系, 于2016年11月在实验室对水深3 164～5 592 m的菲律宾海深海海底沉积物柱状样品的声学特性进行测量, 获取了沉积物声速、声速比、声阻抗、声阻抗指数等声学特性参数。结合沉积物的孔隙度和密度等物理性质参数, 分析了海底沉积物声速、声速比、声阻抗、声阻抗指数与孔隙度、密度的相关关系, 建立了该海域海底沉积物声学特性回归方程。研究结果表明: 研究区深海数据与浅海回归方程符合度较差, 与深海回归方程符合度较好;Hamilton校正方法有助于修正实验室测量引起的温度和压力误差, 声速比与Hamilton方程符合度比声速好; 声阻抗和声阻抗指数与物理性质参数的相关性优于声速和声速比。此外, 研究认为由于海底沉积物的沉积环境较为复杂, 其声学特性回归方程存在差异。由于上述差异的存在, 在使用基于不同海域数据建立的回归方程进行海底沉积物声学特性预测时, 应加以区别对待。该研究丰富了深海海底沉积物声学数据, 对促进深海海底沉积物声学深入研究具有一定的借鉴意义。
关键词:声学特性物理性质海底沉积物深海回归方程
DOI：10.11759/hykx20170616002
分类号:
基金项目:海洋公益性行业科研专项项目(201405032); 国家自然科学基金项目(41330965, 41676055); 中国科学院海洋地质与环境重点实验室开放课题基金(MGE2016KG06); 南北极环境综合考察与评估专项(CHINARE2016-03-03); 泰山****工程专项经费项目(TSPD20161007)

The relationship between the acoustic characteristics and physical properties of deep-sea sediments in the Philippine Sea
SUN Zhi-wen,SUN lei,LI Guan-bao,KAN Guang-ming,GUO Chang-sheng,WANG Jing-qiang,MENG Xiang-mei
Abstract:
To study the correlation between the acoustic and physical properties of deep seabed sediments, samples of deep-sea sediments from the Philippine Sea were tested for a range of acoustic properties such as sound speed, sound-speed ratio, acoustic impedance and index of acoustic impedance (IOI). The depth of the Philippine Sea ranges 3164–5592 m. Regression equations were established between acoustic properties and physical parameters of deep seabed sediments. The study showed that the deep-sea data was in poor agreement with the shallow-sea regression equations used in our study area. The Hamilton correction method was helpful in correcting for laboratory errors in temperature and pressure. Compared with sound velocity, the sound speed ratio was in better agreement with the Hamilton equation. The significance of the relationship between sediment physical properties and acoustic impedance plus IOI was greater than that between the physical properties and sound speed as well as sound speed ratio. Because of the rich and varied seabed environments, the regression equations must be distinguished with respect to their sources from different sea areas before being used. This study significantly enriches the acoustic data of deep seabed sediments and should spur further study of the acoustic properties of different deep seabed sediments.
Key words:acoustic propertiesphysical propertiesseabed sedimentsdeep seaprediction equation





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