孟加拉湾海表盐度变化特征的卫星遥感应用研究

本文利用2011年8月至2014年3月Aquarius卫星盐度产品结合Argo等实测盐度资料,探讨了孟加拉湾海表盐度的季节及年际变化特征。结果显示,Aquarius与Argo盐度呈显著线性正相关,总体较Argo盐度值低,偏差为-0.13,其中在孟加拉湾北部海域负偏差值比南部海域更大,分别为-0.28和-0.10。Aquarius卫星与Argo浮标在表层盐度观测深度上的差别是造成此系统偏差的主因。Aquarius盐度资料清晰显示了孟加拉湾海表盐度具有明显的季节变化特征,包括阿拉伯海高盐水的入侵引起湾南部海域盐度的变化以及湾北部淡水羽分布范围的季节性迁移等主要特征。此外,分析还揭示了2011(2012)年春季整个湾内出现异常高盐(低盐)现象。研究表明,2010(2011)年湾北部夏季降雨减少(增加)导致该海域海水盐度偏高(偏低),并通过表层环流向南输运引起次年春季湾内表层盐度出现异常高盐(低盐)现象,春季风应力旋度正(负)距平通过影响盐度垂直混合过程对同期表层盐度异常高盐(低盐)变化也有影响。     

Features and evaluation of sea/saltwater intrusion in southern Laizhou Bay

Understanding the degree of sea/saltwater intrusion in coastal regions is of great significance to treating the intrusion and improving the environment. Based on the character analysis of the sea/saltwater intrusion, five factors were selected in the fuzzy-synthetical evaluation approach to form the index system, so as to evaluate the degree of sea/saltwater intrusion in southern Laizhou Bay. The results show that the sea/saltwater intrusion is stronger in the middle and northern areas and weaker on the sides and in southern area; currently, the intrusion is relatively serious, and the intrusion area has covered about 68.2% of the areas under study, among which the heavily intruded area is over 50%. Based on the factors analysis of the occurrence and development of sea/saltwater intrusion, the thesis proposes treatment measures.     

日本囊对虾(Marsupenaeus japonicus)秋繁仔虾形态表型与抗流性能间的相关性

于水温(18.0±1.0)°C、盐度20、pH 8.1±0.2条件下,以水流为胁迫因子(时长1min),以日本囊对虾秋繁同生群仔虾[总长(7.643±0.639)mm]为实验对象,以溢水口(实验初始时刻仔虾放置处)为起点,按等距离间距法将自制的水流测定装置(总长1m)依次划分为A(0—25cm)、B(25—50cm)、C(50—75cm)、D(75—100cm)和E(100cm)等五个区段,在确认实验终了时刻分布于A区段内仔虾数量占实验仔虾总数5%的水流速度为0.823cm/s后,以此为实验流速,借助显微扫描像素测量技术和多元分析方法定量研究了A、B、C、D、E实验群体(依次为实验终止时刻分布于A、B、C、D、E区段内的仔虾)个体间形态比例性状间的差异。结果表明:(1)在所涉15项形态测量指标中,各实验群体间均无显著差异(P0.05)的形态性状共计8项,依次为X_4(眼径)、X_5(头胸甲长)、X_6(头胸甲高)、X_7(第一腹节长)、X_8(第二腹节长)、X_9(第三腹节长)、X_~(10)(第四腹节长)和X_14(腹节高);(2)在所涉17项形态比例指标中,实验群体间均无显著差异(P0.05)的形态比例性状共计7项,依次为C_2(额剑长/总长)、C_9(第五腹节长/总长)、C_(10)(尾节长/总长)、C_(11)(尾扇长/总长)、C_(15)(头胸甲高/头胸甲长)、C_(16)(腹节高/第一腹节长)和C_(17)(尾节高/尾节长);(3)经主成分分析,提取到的5个特征值均大于1的主成分,累计贡献率达80.795%,其中第1主成分39.561%,其载荷绝对值大于0.5的主要影响变量占形态比例性状总数的47.059%;(4)将A实验群体定义为水流胁迫处理选留群,B、C、D、E实验群体统归为水流胁迫处理淘汰群。采用逐步判别法,以判别贡献率较大的C_1(第一触角柄长/总长)、C3(眼径/总长)、C7(第三腹节长/总长)、C13(额剑长/头胸甲长)为自变量,所建的Fisher分类函数方程组可较清晰地区分淘汰群和选留群个体,其中选留群的判别准确率P_1、P_2分别为98%和84.85%,淘汰群的判别准确率P_1、P_2分别为82.25%和97.63%,两者综合判别准确率为90.12%。综上可知,借助形态表型分型可实现日本囊对虾仔虾不同抗流性能群体间的筛选。     

使用多普勒超声成像比较栉孔扇贝与虾夷扇贝循环生理特征

将先进的多普勒超声成像技术运用于栉孔扇贝(Chlamys farreri)和虾夷扇贝(Patinopecten yessoensis)循环生理学的研究中,首次量化了扇贝心率(HR)、血流加速度(ABF)、收缩峰值速度(PS)、舒张末期速度(ED)、血液最大瞬时血流量(Max-IBF)、血液最小瞬时流量(Min-IBF)、收缩期与舒张期流速比(S/D)和阻力指数(RI)等指标,对比了两种不同耐温性扇贝的循环生理指标差异。结果表明,两种扇贝HR、ABF、PS、ED、Max-IBF、Min-IBF与水温均呈正相关;在10—25°C间,栉孔扇贝和虾夷扇贝HR范围分别为16—39、14—31次/min,ABF范围分别为1.75—15.84、0.99—7.41cm/s2,PS范围分别为3.54—8.09、2.32—8.85cm/s,ED范围分别为1.51—3.15、1.09—4.23cm/s,Max—IBF范围分别为0.051—0.193、0.137—0.316m L/s、Min—IBF范围分别为0.025—0.072、0.022—0.131m L/s、RI范围分别为0.49—0.69、0.42—0.54,S/D范围为2.28—2.83、1.75—2.12。同一温度下栉孔扇贝的HR、ABF、PS、ED指标水平均高于虾夷扇贝,Max-IBF、Min-IBF水平均低于虾夷扇贝;两种扇贝RI和S/D指标均在一定范围内波动。研究显示,虾夷扇贝在较低的心脏和血流搏动节律下保持了高效的血液流通,从而以相对较少的能量消耗维持了其机体代谢对血液循环的需求,这也与其冷水性的生态习性相适应。     

海洋上层暖水在热带气旋迅速增强中的作用:基于台风威马逊(1409)的个例研究

在登陆海南岛之前,台风威马逊在南海北部从热带风暴级别迅速增强成为超强台风。观测数据的分析结果显示,海洋上层的异常暖水在威马逊的迅速增强过程中扮演了重要的角色。威马逊期间,南海北部的海表面温度相比于气候态海表面温度暖很多。这部分异常暖水为威马逊提供了更多的能量,从而导致了威马逊的迅速增强。数值模拟结果进一步证明,南海北部的暖水在台风威马逊的迅速增强过程中起重要作用。如果没有这团异常暖水的影响,威马逊只增强25 hPa,仅为有暖水影响条件下增强程度的58.1%。     

星载SAR对雨团催生海面风场的观测研究

雨团或对流雨是热带与亚热带地区的主要降雨形式,较易被高分辨率星载合成孔径雷达（SAR）探测到。SAR图像上的雨团足印是由大气中雨滴的散射与吸收、下沉气流等共同导致形成的。本文以RADARSAT-2卫星100 m分辨率的SAR图像上雨团引起的海面风场及其结构反演与解译作为实例进行分析。使用CMOD4地球物理模式函数,分别以NCEP再分析数据、欧洲MetOp-A卫星先进散射计（ASCAT）和中国HY-2卫星微波散射计的风向为外部风向,进行了SAR图像的海面风场反演。反演的海面风速相对于NCEP、ASCAT和HY-2的均方根误差（RMSE）分别为1.48 m/s,1.64 m/s和2.14 m/s。SAR图像上一侧明亮另一侧昏暗的圆形信号图斑被解译为雨团携带的下沉气流对海面风场（海面粗糙度）的改变所致。平行于海面背景风场其通过雨团圆形足印中心的剖面上的风速变化可拟合为正弦或余弦曲线,其拟合线性相关系数均不低于0.80。背景风场的风速大小、雨团引起的风速大小以及雨团足印的直径可利用拟合曲线获得,雨团足印的直径大小一般为数千米或数十千米,本文的8例个例解译与分析均验证了该结论。     

基于MTSAT卫星遥感的中国海及西北太平洋海域海表温度日增温研究

Hourly sea surface temperature(SST) observations from the geostationary satellite are increasingly used in studies of the diurnal warming of the surface oceans. The aim of this study is to derive the spatial and temporal distribution of diurnal warming in the China seas and northwestern Pacific Ocean from Multi-functional Transport Satellite(MTSAT) SST. The MTSAT SST is validated against drifting buoy measurements firstly. It shows mean biases is about –0.2°C and standard deviation is about 0.6°C comparable to other satellite SST accuracy. The results show that the tropics, mid-latitudes controlled by subtropical high and marginal seas are frequently affected by large diurnal warming. The Kuroshio and its extension regions are smaller compared with the surrounding regions. A clear seasonal signal, peaking at spring and summer can be seen from the long time series of diurnal warming in the domain in average. It may due to large insolation and low wind speed in spring and summer, while the winter being the opposite. Surface wind speed modulates the amplitude of the diurnal cycle by influencing the surface heat flux and by determining the momentum flux. For the shallow marginal seas, such as the East China Sea, turbidity would be another important factor promoting diurnal warming. It suggests the need for the diurnal variation to be considered in SST measurement, air-sea flux estimation and multiple sensors SST blending.     

A synthetic aperture radar sea surface distribution estimation by n-order Bézier curve and its application in ship detection

To dates,most ship detection approaches for single-pol synthetic aperture radar(SAR) imagery try to ensure a constant false-alarm rate(CFAR).A high performance ship detector relies on two key components:an accurate estimation to a sea surface distribution and a fine designed CFAR algorithm.First,a novel nonparametric sea surface distribution estimation method is developed based on n-order Bézier curve.To estimate the sea surface distribution using n-order Bézier curve,an explicit analytical solution is derived based on a least square optimization,and the optimal selection also is presented to two essential parameters,the order n of Bézier curve and the number m of sample points.Next,to validate the ship detection performance of the estimated sea surface distribution,the estimated sea surface distribution by n-order Bézier curve is combined with a cell averaging CFAR(CA-CFAR).To eliminate the possible interfering ship targets in background window,an improved automatic censoring method is applied.Comprehensive experiments prove that in terms of sea surface estimation performance,the proposed method is as good as a traditional nonparametric Parzen window kernel method,and in most cases,outperforms two widely used parametric methods,K and G0 models.In terms of computation speed,a major advantage of the proposed estimation method is the time consuming only depended on the number m of sample points while independent of imagery size,which makes it can achieve a significant speed improvement to the Parzen window kernel method,and in some cases,it is even faster than two parametric methods.In terms of ship detection performance,the experiments show that the ship detector which constructed by the proposed sea surface distribution model and the given CA-CFAR algorithm has wide adaptability to different SAR sensors,resolutions and sea surface homogeneities and obtains a leading performance on the test dataset.     

Three dimensional seismic studies of deep-water hazard-related features on the northern slope of South China Sea

Mass transport deposits and geological features related to fluid flow such as gas chimneys, mud diapirs and volcanos, pockmarks and gas hydrates are pervasive on the canyon dominated northern slope of the Pearl River Mouth basin of the South China Sea. These deposits and structures are linked to serious geohazards and are considered risk factors for seabed installations. Based on high resolution three dimensional seismic surveys, seismic characteristics, distributions and origins of these features are analyzed. A distribution map is presented and geometrical parameters and spatial distribution patterns are summarized. Results show that various groups of the mapped features are closely tied to local or regional tectonism and sedimentary processes. Mass transport complexes are classified as slides near the shelf break, initially deformed slumps on the flanks of canyons and highly deformed slumps on the lower slope downslope of the mouth of canyons. We propose them to be preconditioned by pore pressure changes related to sea level fluctuations, steep topography, and fluid and fault activities. Gas chimneys are mainly located in the vicinity of gas reservoirs, while bottom-simulating reflectors are observed within the gas chimney regions, suggesting gas chimneys serve as conduits for thermogenic gas. Mud diapirs/volcanos and pockmarks are observed in small numbers and the formation of pockmarks is related to underlying gas chimneys and faults. This study aims at reducing risks for deep-water engineering on the northern slope of South China Sea.     

Seeing the ocean through the eyes of seabirds: A new path for marine conservation?

Seeing the ocean through the eyes of seabirds could help meet the challenges of managing common-pool marine resources both in protected and unprotected areas. First, seabirds are top-predators, exposed to all threats affecting the oceans, and this makes them ideal sentinel organisms for monitoring changes within marine ecosystems. Second, seabirds cross both ecological and political boundaries, and following their movements should help making interdependencies within and between marine ecosystems more visible. Third, seabirds are conspicuous and often charismatic animals, which interact differently with different groups of stakeholders and provide the opportunity to acknowledge and discuss each other's values and interests. In this paper, we present these research avenues using a seabirds’ view, for tackling marine conservation and management issues, and we give operational examples of implementation based on our work in the English Channel.