声学方法进行海底沉物遥测分类：综述

本文讨论利用声学遥测方法进行海底沉积物分类的目的，用途及该项技术的发展背影和现状。重点介绍目前主要的用于浅，表层沉积物分类的声学遥测方法，包括选通等幅脉冲，宽频带脉冲，连续线性扫频脉冲等正入射方法和侧扫声呐，多波束测深等斜入射方法。     

水下声学定位系统及其应用

分析了短基线、长基线和组合水声定位系统的特点，并就国内外声学定位系统的技术发展，对水声定位系统的分类及其原理、定位精度、发展现状与应用等方面进行了讨论。     

海底沉积物声速研究的意义、方法及展望

总结和分析了20世纪50年代以来的国内外有关海底沉积物声速研究的主要文献,详细阐述了海底沉积物声速研究的科学意义、工程意义和军事意义。将海底沉积物声速的主要研究方法进行了归纳和分类,分为理论研究、室内声学试验和海底原位声学试验3个大类,并论述和分析了各类方法的代表性观点及取得的主要研究成果。最后对目前海底沉积物声速的研究方法存在的主要问题进行了讨论,展望了基于高分辨率声学浅地层剖面资料与钻孔岩心对比研究方法的发展前景。     

南海某海区海底沉积物物理、声学和弹性性质

报道了南海某海区３个区块海底沉积物若干项声学物理性质，讨论和分析了沉积物的物理力学参数，声学和弹性参数之间的关系。     

南海某海区海底沉积物物理、声学和弹性性质

报道了南海某海区３个区块海底沉积物若干项声学物理性质，讨论和分 析了沉积物的物理力学参数，声学和弹性参数之间的关系。     

海底冷泉区沉积物-水界面甲烷通量原位观测研究进展

海底沉积物-水界面作为冷泉跨圈层活动最关键的界面，近年来已成为冷泉区碳循环研究调查的重点目标。为准确获取海洋沉积物-水界面的流体通量，客观重建界面环境过程，评估环境效应，必须发展一整套精确、高效、科学的水下原位甲烷通量测量技术。综述了当前海洋冷泉区沉积物-水界面甲烷通量研究的意义与价值，详细介绍了多种较为成熟的海洋沉积物-水界面甲烷原位通量测试技术工作原理、使用方法和优缺点等，如测试游离气泡态甲烷通量的渗漏帐篷、声学反射、时序影像等技术方法，原位溶解态甲烷膜脱气技术的甲烷传感器、激光拉曼光谱测量方法等，同时对全球该领域已经调查的地区、研究现状和进展进行了详细的介绍。最后从技术层面对这一研究领域未来的发展方向和趋势进行展望，以期为未来国内海洋冷泉区沉积物-水界面甲烷通量原位观测研究提供思路与方向借鉴。     

海底沉积物声衰减研究现状及展望

根据近年来海底沉积物声学物理研究发展的态势,介绍了与研究声衰减有关的海底沉积物样品采集装置和海洋沉积物声速结构模式,综合解析多种对海底沉积物声衰减等声学特性研究方法,并做出较为详细地比较和讨论,提出对海底沉积物声衰减研究在满足科研要求的同时也应符合国家标准和要求。同时,指出了研究海洋沉积物声衰减的必要性和重要性,强调了对海底沉积物声衰减研究的科学意义和应用意义。     

基于声波探测海底浅层沉积物特性的方法研究

利用声波在水中的传输特性进行海底浅层沉积物特性的探测。在实践应用中有实验室方法、现场测量方法和海底声学遥测方法,并研制出大量的仪器。由于海上和海底实际条件的限制,声波探测方法都存在一定的不足之处,由此提出了声衰减测试沉积物特性以及建立实验室模拟海底环境探测方法的设想。     

可变角度换能器在海底沉积物声学原位测量应用的探讨

海底沉积物的声学测量是海底测深的关键技术之一,应用于海底地形地貌测量、海洋矿产资源开采和海底工程建设等。海底沉积物声学测量方法中的原位测量方法可以避免保真采样法的强扰动性和遥测法的准确度、精度及灵敏度的不确定性等缺点,如何改进原位测量系统渐成为海底探测的研究热点。通过分析现有海底沉积物原位测量设备测试换能器的工作原理,针对垂直压入方式换能器测量深度有限,提出了一种通过改变换能器压入沉积物的角度来增加测量深度的方法。在理论上论证出在不低于换能器接收阈值时,测量深度随着掠射角的增加而增加。在不增加压入深度的前提下提供了一种增加测量深度方法。     

海洋沉积物声速与其物理-力学参数的相关性

通过对海洋沉积物声速及其物理-力学参数相关性的初步分析和研究,可以找到估算沉积物压缩波速Vp和切变波速Vs的经验式,最终为海底沉积物的性质进行声学遥测、为发展海底参数声遥感服务。本文给出了7个较为理想的回归方程。沉积物的物理参数与Vp有密切的关系;力学参数对Vs的预报有较大的作用。若增加物理参数作为修正项,其效果更佳。     

Seafloor sediment classification from single beam echo sounder data using LVQ network

Seafloor sediment classification based on echo characteristics obtained from single-beam echosounder is very useful in remote and instant sediment classification. Results of different classification techniques using such data provide robust results when the acoustic beam has a normal incidence with the seabottom. This may not always be true and show poor classification, with the data acquired during rough sea periods corresponding to both oblique and normal incidence of the acoustic pulse, due to roll and pitch motion of the ship. In the present study, an attempt is made to exploit the artificial neural network (ANN) techniques for better classification with such data. Learning Vector Quantisation (LVQ) is a supervised learning algorithm of ANN that is found to be an effective tool and show good performance. The input data to the network include the roughness index (E1) and hardness index (E2) derived from echo characteristics. The network utilizes the competitive learning, a distance function in the first layer and a linear function in the second layer. The network was tried with a different size of hidden neurons and training data size to see the influence on classification. It is found that with ten neurons in the first layer and four neurons in the second layer good performance in classification for the data was achieved.     

Seafloor acoustic remote sensing with multibeam echo-sounders and bathymetric sidescan sonar systems

This paper examines the potential for remote classification of seafloor terrains using a combination of quantitative acoustic backscatter measurements and high resolution bathymetry derived from two classes of sonar systems currently used by the marine research community: multibeam echo-sounders and bathymetric sidescans sonar systems. The high-resolution bathymetry is important, not only to determine the topography of the area surveyed, but to provide accurate bottom slope corrections needed to convert the arrival angles of the seafloor echoes received by the sonars into true angles of incidence. An angular dependence of seafloor acoustic backscatter can then be derived for each region surveyed, making it possible to construct maps of acoustic backscattering strength in geographic coordinates over the areas of interest. Such maps, when combined with the high-resolution bathymetric maps normally compiled from the data output by the above sonar systems, could be very effective tools to quantify bottom types on a regional basis, and to develop automatic seafloor classification routines.     

Multi-angle backscatter classification and sub-bottom profiling for improved seafloor characterization

This study applies three classification methods exploiting the angular dependence of acoustic seafloor backscatter along with high resolution sub-bottom profiling for seafloor sediment characterization in the Eckernförde Bay, Baltic Sea Germany. This area is well suited for acoustic backscatter studies due to its shallowness, its smooth bathymetry and the presence of a wide range of sediment types. Backscatter data were acquired using a Seabeam1180 (180 kHz) multibeam echosounder and sub-bottom profiler data were recorded using a SES-2000 parametric sonar transmitting 6 and 12 kHz. The high density of seafloor soundings allowed extracting backscatter layers for five beam angles over a large part of the surveyed area. A Bayesian probability method was employed for sediment classification based on the backscatter variability at a single incidence angle, whereas Maximum Likelihood Classification (MLC) and Principal Components Analysis (PCA) were applied to the multi-angle layers. The Bayesian approach was used for identifying the optimum number of acoustic classes because cluster validation is carried out prior to class assignment and class outputs are ordinal categorical values. The method is based on the principle that backscatter values from a single incidence angle express a normal distribution for a particular sediment type. The resulting Bayesian classes were well correlated to median grain sizes and the percentage of coarse material. The MLC method uses angular response information from five layers of training areas extracted from the Bayesian classification map. The subsequent PCA analysis is based on the transformation of these five layers into two principal components that comprise most of the data variability. These principal components were clustered in five classes after running an external cluster validation test. In general both methods MLC and PCA, separated the various sediment types effectively, showing good agreement (kappa >0.7) with the Bayesian approach which also correlates well with ground truth data (r²?>?0.7). In addition, sub-bottom data were used in conjunction with the Bayesian classification results to characterize acoustic classes with respect to their geological and stratigraphic interpretation. The joined interpretation of seafloor and sub-seafloor data sets proved to be an efficient approach for a better understanding of seafloor backscatter patchiness and to discriminate acoustically similar classes in different geological/bathymetric settings.     

Remote acoustic sensing methods for studies in oceanology

In this paper, the lines of investigation on a problem of the development of remote acoustic sensing methods in oceanology are formulated. This paper summarizes the results of investigations into the possibilities for monitoring temperature and flow fields in shallow seas. In the discussed experiments, the instrumentation being constituents of the complex for longduration remote monitoring of marine medium climatic variability and that of the acoustic tomography of shallow sea dynamic processes is used. The acoustic instruments were located on the POI FEB RAS acousto-hydrophy sical polygon (Pacific Oceanological Institute, Far Eastern Branch of the Russian Academy o f Sciences) near the Gamov Peninsula. Acoustic receiving and transmitting systems operating with multiplex phase-manipulated signals (of M-codes) at frequency range 250-2500 Hz form the basis for this complex.     

自主回收UUV水声定位与遥测遥控导引技术研究

针对 UUV 任务结束或能源不足时自主回收的需求,深入研究了 UUV 中远程水声定位与遥测遥控导引技术,完成了水声定位与遥测遥控导引系统方案设计,重点研究了 MFSK、OFDM、扩频等水声遥测遥控调制方式。 通过分析和对比,设计了一种正交混合扩频调制方式,并采用相干二维搜索技术,提高扩频技术多普勒补偿能力。 开展了湖上静态与动态跑船试验,试验数据结果表明:水声水平定位精度优于 0. 5%,水声遥测遥控系统解算误码率达到了 10^-3 数量级,可有效引导 UUV 回收作业。     

不同光声脉冲信号与液体非线性参量测量

在不同的条件下，脉冲激光在液体中激发的光声脉冲波的波阵面可近似为平面，柱面或球面．具有不同波阵面的声脉冲在液体中传播时，其前沿上升时间随传播距离的变化规律不同，因此，液体非线性参量和声脉冲上升时间改变量之间的关系也不同。本文讨论了平面、柱面和球面的波阵面的光声脉冲波的上升时间和传播距离的关系，并给出了相应的Ｂ／Ａ的表达式．     

Modification and deployment techniques for hand-deployed Arcticlong-life sonobuoys

Specific methods and equipment used to modify, power, and hand-deploy AN/SSQ-57A sonobuoys in the Arctic are discussed. The methods and suggestions can be easily extended for use with other types of sonobuoys. The modified sonobuoys transmit continuously for up to 30 days from a remote unmanned site to a manned base camp over a range of 20 km. Sample acoustic data from the ALPIS 87 ice station are presented     

Studying characteristics of a fine layered structure of the lower troposphere on the basis of acoustic pulse sounding

Results of acoustic sounding of the lower troposphere with the aid of detonation generators of acoustic pulses are given. This sounding method is based on a partial reflection of acoustic pulses with shock fronts from vertical wind-velocity and temperature gradients continuously varying with height in the troposphere and on the penetration of reflected signals into the region of acoustic shadow. Experiments on tropospheric sounding were carried out on the ground of the Barva Innovation Scientific and Technical Center (Talin, Armenia) in September 2015. In these experiments, an antihail acoustic system was first used as a generator of acoustic pulses. Experimental results have been compared with data obtained earlier in similar experiments carried out in the vicinity of Zvenigorod with the use of a special detonation generator of acoustic pulses. Due to the high resolution (in height) of the sounding method, which reaches 1 m in the stably stratified lower troposphere within a height range of 250–600 m, the vertical profiles of layered effective sound speed inhomogeneities with vertical scales from a few to a few tens of meters have been retrieved. The influence of these fluctuations on the form and amplitude of acoustic signals at a long distance from their pulsed source has been studied.     

基于BP网络对模拟声呐信号分类

针对常规的主动声呐调查设备,在简单海洋分层模型的基础上,模拟了多波束类单频信号、侧扫类单频信号、Ch irp调频信号和混合信号4类声呐接收信号,并针对接收信号特征构造了3层BP网络模型,将隐藏层神经元数目设为可调节;利用时间域脉冲宽度和水深与频率域功率谱密度相结合的特征参量,成功地对模拟信号进行了分类。采用改进的BP网络模型,用训练成功的BP网络对102个检测信号进行了分类测试,结果表明,分类成功率较高,可达76%~84.6%,因而利用BP网络可以对不同类别设备的模拟声呐接收信号进行分类。     

Benthic boundary layer processes in the Lower Florida Keys

 This special issue of Geo-Marine Letters, “Benthic Boundary Layer Processes in the Lower Florida Keys,” includes 12 papers that present preliminary results from the Key West Campaign. The Dry Tortugas and Marquesas Keys test sites were selected by a group of 115 scientists and technicians to study benthic boundary layer processes in a carbonate environment controlled by bioturbation and biogeochemical processes. Major activities included remote sediment classification; high-frequency acoustic scattering experiments; sediment sampling for radiological, geotechnical, biological, biogeochemical, physical, and geoacoustic studies; and hydrodynamic studies using an instrumented tetrapod. All these data are being used to improve our understanding of the effects of environmental processes on sediment structure and behavior.