多波束海底声像图的形成及应用研究

在探讨多波束海底声像图形成原理基础上,重点研究多个扇面、多个条带的反向散射强度数据拼接、镶嵌方法,将海底反向散射强度值向图像灰度值转换,最后形成海底声像图,为海底地貌解译、海底目标物探测以及海底底质类型划分提供判读依据。     

海底浅表层沉积物原位声学测量方法探讨

研究透射式和折射式两类海底沉积声学原位测量方法,通过分析10种海底浅表层沉积物声学原位测量仪器的特征,指出不同声学原位测量技术对沉积物声学特性测量结果的影响。比较黄海海底浅表层沉积声学原位测量数据与实验室测量结果的差异,分析原位声学测量数据普遍小于实验室测量数据的原因,指出原位测量的作用和重要性。探讨指出海底浅表层沉积物原位声学测量所需要配合发展的其他物理性质原位测量技术。     

海底沉积物的基本地声结构与地声模型

为准确建立海底地声模型,本文探讨地声模型的基本组成和基本结构。通过样品实验室测量,分析南海海底表层沉积物的密度、孔隙度与声速随着埋深变化的关系,得出海底实际存在的低声速表面–声速缓慢变化类型、低声速表面–声速增大类型、高声速表面–声速缓慢变化类型和高声速表面–声速增大类型4种典型地声结构;对比钻探测量,分析黄海海底沉积物的密度、孔隙度与声速随埋深变化关系,得出海底地声模型分层特征与地声结构组合特征。研究表明,地声模型可以归结为4种基本地声结构的组合,通过与底层海水声速、同层内声速剖面以及与上层海底沉积物下表面声速的比较,可以建立各种海底地声模型;基于实验室测量法建立的地声模型可以作为参考地声模型,但需要考虑实际海底温度和压力梯度以及海底沉积物的频散特性等,借助于声速比校正法和频散性理论模型进行计算及修正。     

基于BP神经网络的海底地形复杂度自动分类方法研究

针对海底地形复杂程度分类问题,在考虑传统水深均值的基础上引入坡度和起伏度两个地形因子作为表征海底地形复杂程度的分类指标并进行量化,对水深数据空间分辨率进行统一,建立包含18种典型海底特征的海底地形复杂度分类库,利用BP神经网络对建立的分类库进行训练学习。为验证该方法的有效性和适用性,选取地形复杂度不同的4块实验区分别采用统计学方法和BP神经网络算法进行海底地形复杂度进行分类,对比发现该方法可以实现海区海底平坦、一般、复杂三种地形的自动识别与分类,并保留实验区海底地形复杂度细节信息。     

Discrimination of Seafloor Sediment Properties by VWA

Analytical results of sound velocity and spectrum for seafloor sediment ore obtained by VWA (velocity-wave-amplitude) discrimination technique. Based on velocity-wave-amplitude, an understanding is gained of the physical condition and structural characteristics of seafloor sediment, which is combined with other geological information of the sedimentary layer to synthetically discriminate the properties of seafloor sediment. Experimental results show that, by using the relationship between sound velocity, wave form envelope, amplitude shape and size, and such parameters as sedimentary structure, microstructure, bedding, grain composition, mineral composition, and physical-mechanics, etc., the basic properties of the shallow surface seafloor sediment in the experimental sea area can be discriminated and the burial depth of traces of ancient marine transgression and regression events in the borehole cores of seafloor sediment can be divided, thus making an attempt of and contribution to the practice of acoustically remote-sensing and telemetering seafloor sediment.     

Discrimination of Seafloor Sediment Properties by VWA

Analytical results of sound velocity and spectrum for seafloor sediment ore obtained by VWA (velocity-wave-amplitude) discrimination technique. Based on velocity-wave-amplitude, an understanding is gained of the physical condition and structural characteristics of seafloor sediment, which is combined with other geological information of the sedimentary layer to synthetically discriminate the properties of seafloor sediment. Experimental results show that, by using the relationship between sound velocity, wave form envelope, amplitude shape and size, and such parameters as sedimentary structure, microstructure, bedding, grain composition, mineral composition, and physical-mechanics, etc., the basic properties of the shallow surface seafloor sediment in the experimental sea area can be discriminated and the burial depth of traces of ancient marine transgression and regression events in the borehole cores of seafloor sediment can be divided, thus making an attempt of and contribution to the practice of acoustically remote-sensing and telemetering seafloor sediment.     

海洋测深中垂直分置海底混响信号的仿真分析

海洋测深中,海底混响信号是测深仪回波信号检测的主要内容。测深仪通常采用信号的相关处理方法对其进行检测,因此在设计测深仪的回波处理单元时,系统地分析海底混响信号的相关特性就显得尤为重要,对混响信号仿真是分析其特性的有效手段。基于单元散射理论,依据海底散射系数的空间相关半径划分散射单元,给出垂直分置海底混响信号的仿真方法。研究结果表明,该模型物理意义明确,计算简单。仿真得到的海底混响信号具有非常好的空间相关性和时间自相关性,与实测的海底混响信号相符,可用于对混响场特性的分析,改善测深仪的设计,从而有效提高测深仪的测量精度。     

关于海底沉积物声特性实验室直接测量方法的探讨

海底沉积物声学特性实验室测量是除原位(in situ)测量之外最直接的沉积物声学特性测量方法。作为一项基础性研究,利用声波参数仪准确测量海底沉积物的声速和声衰减对建立海洋地声学模型具有重要意义。文章针对RS- ST01C型数字超声测试仪在测量过程中所存在的一些问题进行了探讨,对规范海底沉积物声学特性实验室测量方法具有实际意义。     

几款全球海底地形模型比较分析

近几十年,随着卫星测高技术和相关数据精密处理技术发展,依托卫星测高技术业已成为快速获取全球海底地形数据的可靠手段,国内外相关组织机构已发布了一系列全球海底地形模型。整理评述了多款全球海底地形的基本情况,以及相互间的内在联系,包括DBDB系列模型、ETOPO系列模型、Sandwell系列模型、GEBCO系列模型、SRTM+系列模型、EARTH地形球谐系数模型、BAT_VGG模型、BAT_WHU2020模型、STO_IEU2020模型等。通过对全球海底地形模型的认识和梳理,以期为下一步全球海底地形模型高效、低成本构建提供方法参考。     

Processing Multibeam Backscatter Data

A new highly precise source of data has recently become available using multibeam sonar systems in hydrography. Multibeam sonar systems can provide hydrographic quality depth data as well as high-resolution seafloor sonar images. We utilize the seafloor backscatter strength data of each beam from multibeam sonar and the automatic classification technology so that we can get the seafloor type identification maps. In this article, analyzing all kinds of error effects in backscatter strength, data are based on the relationship between backscatter strength and seafloor types. We emphasize particularly analyzing the influences of local bottom slope and near nadir reflection in backscatter strength data. We also give the correction algorithms and results of these two influent factors. After processing the raw backscatter strength data and correcting error effects, we can get processed backscatter strength data which reflect the features of seafloor types only. Applying the processed backscatter strength data and mosaicked seafloor sonar images, we engage in seafloor classification and geomorphy interpretation in future research.     

Phase-reversed seabed reflections in seismic data: examples related to mud volcanoes from the South Caspian Sea

The sediment–water interface is usually marked by an increase in acoustic impedance and is therefore displayed in a seismic section as a positive polarity reflection. Here, we use the term “seabed phase reversal” to describe areas of seafloor which are instead expressed as a negative polarity reflection in seismic data. We describe in detail a number of examples of seafloor phase reversals and use a simple one-dimensional geophysical model to test the hypothesis that they are the result of the presence of gas within the seafloor sediment. Our examples are all related to seismically imaged mud volcanoes located within the South Caspian Sea. Sections of phase-reversed seafloor at the summit area of these volcanoes have been mapped to reveal the existence of seafloor mud pools (salses) and recently erupted mud flows which show a strong similarity to smaller-scale features at onshore volcanoes in Azerbaijan. Synthetic geophysical modelling indicates that under the physical conditions likely to occur when the seabed sediment is gas-bearing, the seafloor will be expressed as a strong negative polarity reflection. Unlike other indicators of seafloor gas, such as pockmarks, which merely record the transient expulsion of fluids from sedimentary basins, seafloor phase reversals indicate the presence of gas in marine sediment at the time of survey acquisition. They therefore are of significance to engineering and site survey operations as well as the identification of biological communities and gas flux calculations.     

Processing Multibeam Backscatter Data

A new highly precise source of data has recently become available using multibeam sonar systems in hydrography. Multibeam sonar systems can provide hydrographic quality depth data as well as high-resolution seafloor sonar images. We utilize the seafloor backscatter strength data of each beam from multibeam sonar and the automatic classification technology so that we can get the seafloor type identification maps. In this article, analyzing all kinds of error effects in backscatter strength, data are based on the relationship between backscatter strength and seafloor types. We emphasize particularly analyzing the influences of local bottom slope and near nadir reflection in backscatter strength data. We also give the correction algorithms and results of these two influent factors. After processing the raw backscatter strength data and correcting error effects, we can get processed backscatter strength data which reflect the features of seafloor types only. Applying the processed backscatter strength data and mosaicked seafloor sonar images, we engage in seafloor classification and geomorphy interpretation in future research.     

Characterizing Indian Ocean manganese nodule-bearing seafloor using multi-beam angular backscatter

Application of quantitative angular backscatter modelling to manganese nodule-bearing areas of the Central Indian Ocean Basin (CIOB) has been initiated at NIO during the year 1998. Studies were aimed to establish the suitability of seafloor backscattering in delineating seafloor parameters characteristic of nodule-rich sediments. In this paper, processed Hydrosweep multi-beam backscatter data from 45 spot locations in the CIOB (where nodule samples are available) were analysed to estimate seafloor and sediment volume roughness parameters. The application of a composite roughness model to a nodule-bearing region (6,600 km²) of the CIOB, to determine seafloor interface roughness parameters from a multi-beam backscatter dataset, shows only four power law sets. The results attest 80% of the nodule-bearing seafloor to be smooth in terms of interface roughness parameters at micro-topographic level. The sediment volume roughness parameters are dominant only in 29% of the smooth interface roughness sites. This indicates that 51% of the seafloor area possesses negligible (interface and volume) roughness. A critical analysis using pseudo-side-scan records from 12 selected locations in the study area affirms the combined importance of the seafloor interface and sediment volume roughness parameters for precise determination of manganese nodule abundance.     

黄海晚更新世的黄土沉积

根据８０年代在黄海多次综合性地调查资料，对采获样品进行粒度，矿物，化学成分等分析和对比。结果证明，黄海在２－３万年前的晚更新世低海面时，同今日的陆地一样，曾存在着黄土沉积，尽管全新世大规模海侵发生之后，黄土沉积受到了一定的破坏和改造，但它们仍大量地残留在黄海西部的海底，其中又以海州湾一带的分布面积最大，由于长期处于海底，已发生了某种程度的变化，但其基本性质和特征仍同陆上的黄土相似。     

多波束反向散射强度数据处理研究

在探讨多波束测深系统反向散射强度与海底底质类型的关系基础上,研究影响反向散射强度的各种因素,主要分析了海底地形起伏、中央波束区反射信号对反向散射强度的影响,并给出了消除这些影响的方法;将处理后的“纯”反向散射强度数据镶嵌生成海底声像图,为海底底质类型划分以及地貌解译提供了基础数据和辅助判读依据.     

海底三维可视化技术及应用

海底地形地貌能表现海洋世界重要的空间信息,也是常规光学和电磁手段难以探测的水下区域。应用侧扫声纳技术可以反演海底地貌,同时多波束测深技术得到的水深数据重建数字水深模型,二者结合创建三维海底空间景观。利用海洋探测技术和三维可视化技术进行海底地形地貌三维仿真和分析,并对其应用进行探讨。     

南海北部海底沙波地貌

南海北部水深８０—２５０ｍ的外大陆架和上大陆坡海底，有大片沙波地貌分布，它们主要是晚更新世末次冰期低海面时遗留下来的滨海沙波、沿岸沙丘、沙堤和沙垄，属残留沙体地貌。它们明显沿着本次冰期时形成的最低海岸线两侧分布，但在现代海底底流作用下，其两翼及沙波谷部发育有次一级的小型沙波或沙纹，它们的形态细小、排列紧密，与残留沙体地貌组成复式海底沙波。这就是流动沙波，是不稳定的地质因素，对海底工程有一定危害，但根据外大陆架实测底流数据，运用计算机数学模型方法计算，表明在细沙和中细沙大面积覆盖区，海底沙波每年均以０．１６６—０．５３４ｍ的速度向深海方向迁移，移动速度相当缓慢，其对海底工程设施不会造成直接危害。     

黄河口水下底坡微地貌及其成因探讨

高分辨率的回声测深、旁侧声纳及浅地层剖面记录首次直观地揭示了黄河口水下底坡上发育有大量形态不同的微地貌类型。据其形态特征和规模的差异,将它们划分为平滑海底、凹坑与洼地、冲沟、残留岗丘及扰动复合海底等五种类型。这些微地貌分布在不同水深条件下的不同水下三角洲单元上,并存在着相互联系和相互转化。黄河口海域特殊的沉积环境和复杂的动力条件是导致水下底坡微地貌形成发育的主要机制。     

海底观测网深水设备精准定点布放方法研究

海底观测网因其实时、长期、连续、高精度时钟同步及原位等优势而逐渐成为人类研究海洋的新型平台,建设规模和应用水深都在不断扩大。海底观测网系统建设中,深水设备的精准定点布放及湿插拔作业是施工的难点。针对国内海底观测网精准定位布放作业存在的困难和问题,结合国内现有施工条件,提出一种大深度海底设备精准定点布放安装方法,实现南海深海海底观测网试验系统深水设备精准定位布放与ROV湿插拔作业,对未来大规模海底观测网及其它深水工程中设备的精准定点布放和安装,具有参考和借鉴意义。     

Applying Iterative Method to Solving High-Order Terms of Seafloor Topography

Abstract

We introduce an iterative inversion method to address the problems in high-order seafloor topography inversion using gravity data (gravity anomaly and vertical gravity gradient anomaly), such as the difficulty in computing the equation and the uniqueness of the calculation results. A part of the South China Sea is selected as the experimental area. Considering the coherence and admittance function of gravity topography and vertical gravity gradient topography, the inversion band of the gravity anomaly and vertical gravity gradient anomaly in the study area is 30?km–120?km. Seafloor topography models of different orders are constructed using an iterative method, and the performance of each seafloor topography model is analyzed against ETOPO1 and other seafloor topography models. The experimental results show that as the inversion order increases, the clarity and richness of seafloor topographic expression continuously improve. However, the accuracy of seafloor topography inversion does not improve significantly when the inversion order exceeds a certain value, which is related to the contribution of high-order seafloor topography to gravity information. The results show that the accuracy of BGT4 (inversion model constructed by the gravity anomaly) is slightly poorer than that of BVGGT4 (inversion model constructed by the vertical gravity gradient anomaly) in areas with complex topography, such as multi-seamounts and trenches, and the results are generally better in areas with flat seafloor topography.