海洋锋现象及其对水声传播的影响

为了研究海洋锋对声传播的影响,借鉴黑潮引起的台湾海峡南部海洋锋的历史水文观测资料,提出并建立了适合描述台湾海峡南部海洋锋的数学模型及其声速表达式。通过与实测资料对比,建立的海洋锋模型能准确反映客观实际情况,表现出较好的效果。同时,在借鉴了前人研究经验的基础上,采用Argo实测资料,建立了台湾海峡南部海洋锋的数学模型及其声速表达式,利用MMPE水下声场模型进行了海洋声场数值模拟试验,对目标海区典型的声场结构进行了声线路径模拟和传播损失的计算仿真,并将实验结果通过与前人进行的实际大洋声场实验的结果比较,证实了本文的模拟结果是准确可信的,提高了水声数值模拟试验的准确有效性。     

多光谱遥感水深反演及其水下碍航物探测技术

针对采用传统海洋测量手段难以获取危险及争议海区的水深和水下碍航物信息,提出了基于卫星遥感进行水深反演和水下碍航物探测的新思路。探讨了多光谱遥感水深反演的数据预处理方法、遥感水深反演模型的构建及水下碍航物遥感探测方法,并开展了相应的实验验证。实验表明,采用卫星遥感手段可以快速地获取测量船只不易到达海区的水深和水下碍航物信息,研究成果对海洋测绘技术的发展具有一定的指导意义和应用价值。     

卫星遥感重构海洋次表层研究进展

海洋表层的状态信息与次表层的结构密切相关,将卫星遥感海表数据长时序、广覆盖的优势与海洋实测数据所表征的次表层特征相结合,建立由表层到水下的映射关系,是获取时空连续海洋三维状态信息的有效方法。本文针对海表信息重构次表层结构的多种方法进行了介绍,对各类方法的发展状况作了简要回顾,并对各个方法的优势做出归纳总结,为次表层重构方法及应用研究提供依据。     

湾流锋强度空间变化及季节变化特征研究

基于 W OA13数据可以较好的表现海洋锋强度的变化特征这一特点,选用分辨率为 1/ 4毅的 1955-2012年 58年季节平 均数据分析了湾流锋轴线上温度、盐度绝对梯度的空间分布特征、季节的变化的强弱规律、温、盐关系,并运用 BELLHOP 模型对锋区声场特点进行了分析。分析表明湾流锋轴线水平位置及其强度随着深度变化比较明显,在锋轴线上温、盐强度的 正相关性显著,锋区内声道的形成与季节以及声源深度关系密切。     

苏北浅滩外侧潮汐锋的季节变化及结构分析

利用高分辨率(1/18°)的POM(Princeton Ocean Model)模式数值模拟结果,结合观测数据分析了苏北浅滩外侧潮汐锋的季节分布特征和变化规律。研究结果表明,苏北浅滩外侧潮汐锋的季节变化特征显著,春末开始出现,夏季底层温度锋强度最大且锋区位置较稳定,锋区宽度约40 km,平均强度约0.35℃/km,秋、冬季随上层海洋湍流垂向混合的加强,潮汐锋逐渐减弱至消失不见。对比实测数据和模拟结果发现,沿34°N断面,夏季潮汐锋区附近等温线明显抬升,存在由陡峭地形和分层流体的内埃克曼效应共同作用形成的上升流现象。次表层海水出现低温冷水区,位于122.2°E附近。跨锋区断面的温度和流场分布特征同浅水区强烈的潮混合过程密切相关,斜压在锋面处产生了较强的南向流动。本研究结果促进了对苏北浅滩外侧陆架潮汐锋结构特征的认识,为研究黄海西部生态环境的动力过程影响提供参考。     

基于数字全息显微的海洋浮游生物三维形貌快速重建方法研究

针对海洋浮游生物实时探测中,三维形貌特征难以快速获取的问题,本文提出了一种海洋浮游生物三维形貌快速重建的方法。基于离轴菲涅尔数字全息显微系统,通过改进相位恢复方法预消除相位畸变,直接得到正确的相位信息,进而对浮游生物三维形貌重建。该方法不需要进行后期复杂的相位补偿计算,就可以对浮游生物三维形貌进行快速重建,有利于对动态、微小尺寸的浮游生物进行实时探测及分析。论文对青岛近海岸浮游生物桡足类和夜光虫进行了三维形貌重建,分辨率可达到3.5μm。实验结果为离轴菲涅尔数字全息显微系统用于海洋浮游生物原位、实时探测的可行性提供了依据。     

一种基于Canny和数学形态学的海洋锋检测方法

MODIS遥感影像中海洋锋呈现明显的弱边缘信息特征。为有效获得海洋锋信息,首先应用调整后的Canny边缘检测算法,获取海洋锋初步检测结果,然后基于数学形态学二值重构及击中击不中算法,对检测出来的海洋锋进行再处理,确保了海洋锋的连续性及定位准确性。试验结果表明了该算法在海洋锋检测上的有效性与实用性。     

基于WOA13数据对亚南极锋的季节变化特征研究

海洋锋深刻反映着海洋环境要素的变化,研究海洋锋对渔业和水下声学的应用有着重要的参考价值。WOA13是一种平均格点化数据,对于研究海洋锋季节变化特征有着很好的优势。文中利用WOA13季节平均温度数据,选取0.25经纬度网格数据,对南极洲亚极地锋进行了季节变化特征研究。以绝对梯度的最大值连线画出锋线具体位置,对比不同季节断面T-D分布图的差异,得到了亚极地锋的锋面结构、强度等季节变化信息。     

人工智能辅助的海洋立体观测与探测

海洋立体观测与探测是获取海洋信息的重要手段,是海洋科学研究、环境保护、经济发展的基础。近年来海洋立体观测网络的快速发展带来了观测数据质量与数量的显著提升,进一步推动了海洋信息处理技术从“模型为主”逐步迈向“数据与模型双驱动”的新范式。在这一过程中,人工智能(AI)与海洋信息的交叉融通发挥了重要作用。从海洋立体观测和探测 2 个方面,讨论经典方法的局限性,回顾 AI 辅助下海洋物理场重建、水下目标检测与水下目标定位的研究新进展,重点阐述 AI 辅助的海洋立体观测与探测研究中亟需解决的关键科学问题及潜在的解决思路,并展望了该领域未来的发展方向。     

台湾以东黑潮锋时空分布及形成机制研究

海洋锋是重要的海洋现象,具有重要的研究意义。尽管台湾以东与黑潮之间表层无明显的锋区,但在水下却常年存在较强的海洋锋,这一现象的研究至今尚少见,本研究采用再分析手段,系统分析了温度锋时空变化规律及其形成变化机制。     

北部湾东北部潮锋的观测与分析

近海潮锋的分布与温度、盐度乃至海洋生产力的分布都存在紧密联系。基于北部湾东北部的实测数据,对比分析2016—2017年北部湾东北部海域的温度、盐度、密度等分布,并利用ROMS(Regional Ocean Model System)正压与斜压模式,计算Simpson-Hunter (S-H)参数,阐述了潮锋出现位置及其与温度、盐度和密度的关系。结果表明:北部湾东北部潮锋发生的主要区域位于雷州半岛附近,潮混合区温盐密混合较为均匀。利用ROMS模式计算所得的最大垂直平均流速来计算S-H参数,认为潮锋出现位置位于S-H参数值为2处,与实测结果较为一致,且认为正压模式比斜压模式更能准确模拟潮混合区。另外,分析观测数据发现,温度、盐度、密度锋终年存在。近岸处密度锋主要受盐度锋控制,而潮混合产生的盐度锋又容易被径流掩盖。风力较大时三种锋都易向水深更深处推进,潮混合区终年垂向混合较好。     

Thermal fronts and cross-frontal heat flux in the southern Huanghai Sea and the East China Sea

Synoptic features in/around thermal fronts and cross-frontal heat fluxes in the southern Huanghai./Yellow Sea and East China Sea （HES） were examined using the data collected from four airborne expendable bathythermograph surveys with horizontal approxmately 35 km and vertical 1 m（from the surface to 400 m deep） spacings. Since the fronts are strongly affected by HES current system, the synoptic thermal features in/around them represent the interaction of currents with surrounding water masses. These features can not be obtained from climatological data. The identified thermal features are listed as follows ： （ 1 ） multiple boundaries of cold water, asymmetric thermocline intrusion, locally-split front by homogeneous water of approxmately 18 ℃, and mergence of the front by the Taiwan Warm Current in/around summertime southern Cheju - Changjiang/Yangtze front and Tsushima front; （2） springtime frontal eddy-like feature around Tsushima front; （3） year-round cyclonic meandering and summertime temperature-inversion at the bottom of the surface mixed layer in Cheju - Tsushima front; and （4） multistructure of Kuroshio front. In the Kuroshio front the mean variance of vertical temperature gradient is an order of degree smaller than that in other HES fronts. The southern Cheju- Changjiang front and Cheju -Tsushima front are connected with each other in the summer with comparable cross-frontal temperature gradient. However, cross-frontal heat flux and lateral eddy diffusivity are stronger in the southern Cheju - Changjiang front. The cross-frontal heat exchange is the largest in the mixing zone between the modified Huanghai Sea bottom cold water and the Tsushima Warm Current, which is attributable to enhanced thermocline intrusions.     

东海海域春季温度场空间结构特征分析——三维地统计学方法

在海洋温度场三维空间结构特征研究上,常规的研究方法往往忽视了温度场在空间上的相关性、非周期性和不规则性,而地统计学能够有效地研究自然现象的空间结构特征。本文采用三维地统计学方法研究了东海海域春季温度场的三维空间结构特征,采用三维变异函数定量描述了东海海域春季温度场的连续性和方向性特征。研究的结果表明:东海海域春季温度场在整个研究区内具有明显的漂移;但在变程内具有显著的空间结构性特点,其各个方向上变异函数的理论模型均为具有块金效应的高斯模型。在水平和垂直方向上温度场的空间变异尺度分别为km级和m级,而温度场在水平各个方向上也表现为各项异性,其中NW-SE向的相关性最好,NE-WS向相关性最弱。     

Seasonal variation in the three-dimensional structures of coastal thermal front off western Guangdong

The seasonal structure and dynamic mechanism of oceanic surface thermal fronts(STFs) along the western Guangdong coast over the northern South China Sea shelf were analyzed using in situ observational data, remote sensing data, and numerical simulations. Both in situ and satellite observations show that the coastal thermal front exhibits substantial seasonal variability, being strongest in winter when it has the greatest extent and strongest sea surface temperature gradient. The winter coastal thermal front begins to appear in November and disappears after the following April. Although runoff water is more plentiful in summer, the front is weak in the western part of Guangdong. The frontal intensity has a significant positive correlation with the coastal wind speed,while the change of temperature gradient after September lags somewhat relative to the alongshore wind. The numerical simulation results accurately reflect the seasonal variation and annual cycle characteristics of the frontal structure in the simulated area. Based on vertical cross-section data, the different frontal lifecycles of the two sides of the Zhujiang(Pearl) River Estuary are analyzed.     

The frontal system at the boundary of the East China Sea: Its variability and response to large-scale atmospheric forcing

High-resolution satellite sea surface temperature measurements (PATHFINDER dataset) indicate that the fronts at the boundary of the East China Sea (Taiwan front, Kuroshio frontal zone, and South Korean coastal front) appear as a unified dominating frontal structure when climatological averaging is applied. This structure is about 1200 km in length, spreads over the continental shelf from Taiwan to the Tsushima Islands, and separates productive seawaters from the oligotrophic oceanic waters. The Kuroshio frontal zone, incorporated into this structure, reveals interannual variability with periods consistent with El Niño–Southern Oscillation (4–5 years).     

夏季南海北部粤东陆架锋面的动力特征分析*

本文利用现场观测资料和卫星遥感数据, 并结合ROMS(regional ocean modeling system)数值模拟对南海北部粤东陆架的锋面特征及其影响因素进行探讨。观测结果显示, 夏季南海北部陆架存在活跃的上升流温度锋面, 其水平尺度约为50km, 强度达到0.06℃∙km^-1, 大于同时期卫星遥感观测结果, 垂向影响深度超过20m, 且具有一阶理查森数(Richardson number, Ri)的典型动力学特征。进一步的ROMS 模式诊断分析结果显示, 锋面处水平梯度增强, 且动力学上表现出一阶Ri数, 为锋面不稳定的发生提供了有利条件。高分辨率模拟结果显示, 在夏季西南风的驱动下, 沿锋面地转流方向的风应力引起的跨陆架Ekman输运将锋面处冷水向暖水运移, 导致水平浮力梯度和锋面强度增强并形成负Ertel位涡(Ertel potential vorticity, EPV)。因此, 夏季风场强迫引起的Ekman浮力通量(Ekman buoyancy flux, EBF)可能是南海北部锋面不稳定现象的主要贡献者, 对局地动力环境有重要影响。     

基于GIS的南海海温时空过程分析研究

海温是海洋环境影响因子之一,对于海洋生态环境、海水养殖业等尤为重要。本文以Argo数据提取的南海海洋温度场数据为例,结合GIS(GeographicInformationSystem)技术,研究南海海温点过程、面过程可视化表达的方法。利用GIS作为可视化框架提供南海海温场的可视化显示,包括放大、缩小和拖动等基本功能,绘制多种形式的数值图像并进行空间分析,包括海温数据曲线绘制、海温值查询、空间插值、等值线等。基于Argo数据可视化表达的结果,从南海海温年变化、随纬度的变化、垂向变化、季节分布特征四方面对南海的海温时空特征进行了分析,结果表明:(1)南海海表温度高温的持续时间比较长,升温过程比降温过程相对要短一些;(2)随着纬度的降低,温度整体升高,温度的年变化幅度越来越小。夏秋两季随着纬度的变化,温度变化不大,春冬两季的温度变化较大;(3)在0~30 m温度变化很小,在深度为30m处温度开始逐渐下降,到达500m以下,海温一年四季都比较接近;(4)冬季海温总体最低,夏季海温总体最高。冬季和秋季,在南海西南方向等值线呈现西北—东南向,等值线比较密集。海温的时空变化研究可以对海洋温跃层、海洋温度锋,海水不同层次的结构的研究提供一定参考。     

Long-term and real-time monitoring system of the East/Japan sea

Long-term, continuous, and real-time ocean monitoring has been undertaken in order to evaluate various oceanographic phenomena and processes in the East/Japan Sea. Recent technical advances combined with our concerted efforts have allowed us to establish a real-time monitoring system and to accumulate considerable knowledge on what has been taking place in water properties, current systems, and circulation in the East Sea. We have obtained information on volume transport across the Korea Strait through cable voltage measurements and continuous temperature and salinity profile data from ARGO floats placed throughout entire East Sea since 1997. These ARGO float data have been utilized to estimate deep current, inertial kinetic energy, and changes in water mass, especially in the northern East Sea. We have also developed the East Sea Real-time Ocean Buoy (ESROB) in coastal regions and made continual improvements till it has evolved into the most up-to-date and effective monitoring system as a result of remarkable technical progress in data communication systems. Atmospheric and oceanic measurements by ESROB have contributed to the recognition of coastal wind variability, current fluctuations, and internal waves near and off the eastern coast of Korea. Long-term current meter moorings have been in operation since 1996 between Ulleungdo and Dokdo to monitor the interbasin deep water exchanges between the Japanese and Ulleung Basins. In addition, remotely sensed satellite data could facilitate the investigation of atmospheric and oceanic surface conditions such as sea surface temperature (SST), sea surface height, near-surface winds, oceanic color, surface roughness, and so on. These satellite data revealed surface frontal structures with a fairly good spatial resolution, seasonal cycle of SST, atmospheric wind forcing, geostrophic current anomalies, and biogeochemical processes associated with physical forcing and processes. Since the East Sea has been recognized as a natural laboratory for global oceanic changes and a clue to abrupt climate change, we aim at constructing a 4-D continuous real-time monitoring system, over a decade at least, using the most advanced techniques to understand a variety of oceanic processes in the East Sea.     

Spatial and Temporal Scale Variations of Sea Surface Temperature in the East Sea Using NOAA/AVHRR Data

Sea surface temperature fields in the East Sea are composed of various spatial structures such as eddies, fronts, filaments, turbulent-like features and other mesoscale variations associated with the oceanic circulations of the East Sea. These complex SST structures have many spatial scales and evole with time. Semi-monthly averaged SST distributions based on extensive satellite observations of SSTs from 1990 through 1995 were constructed to examine the characteristics of their spatial and temporal scale variations by using statistical methods of multi-dimensional autocorrelation functions and spectral analysis. Two-dimensional autocorrelation functions in the central part of the East Sea revealed that most of the spatial SST structures are anisotropic in the shape of ellipsoids with minor axes of about 90–290 km and major axes of 100–400 km. Two dimensional spatial scale analysis demonstrated a consistent pattern of seasonal variation that the scales appear small in winter and spring, increase gradually to summer, and then decrease again until the spring of the next year. These structures also show great spatial inhomogeneity and rapid temporal change on time scales as short as a semi-month in some cases. The slopes in spectral energy density spectra of SSTs show characteristics quite similar to horizontal and geostrophic turbulence. Temporal spectra at each latitude are demonstrated by predominant peaks of one and two cycles per year in all regions of the East Sea, implying that SSTs present very strong annual and semi-annual variations. This revised version was published online in August 2006 with corrections to the Cover Date.