Monitoring the Kuroshio Extension with Dynamically Constrained Synthesis of the Acoustic Tomography, Satellite Altimeter and in situ Data

A finite-difference quasigeostrophic (QG) model of an open ocean region has been employed to produce a dynamically constrained synthesis of acoustic tomography and satellite altimetry data with in situ observations. The assimilation algorithm is based upon the 4D variational data interpolation scheme controlled by the model's initial and boundary conditions. The data sets analyzed include direct and differential travel times measured at the array of five acoustic transceivers deployed by JAMSTEC in the region of the Kuroshio Extension in 1997, Topex/Poseidon altimetry, CTD soundings, and ADCP velocity profiles. The region monitored is located within the area 27.5°–36.5°N, 143°–155°. The results of assimilation show that mesoscale variability can be effectively reconstructed by five transceivers measuring direct and reciprocal travel times supported by relatively sparse in situ measurements. The misfits between model and data lie within the observational error bars for all the data types used in assimilation. We have compared the results of assimilation with the statistical inversion of travel time data and analyzed energy balances of the optimized model solution. Energy exchange between the depth-averaged and shear components of the observed currents reveals a weak decay of the barotropic mode at the rate of 0.2 ± 0.7⋅10⁻⁵ cm²/s³ due to topographic interaction. Mean currents in the region are unstable with an estimate of the available potential energy flux from the mean current to the eddies of 4.7 ± 2.3⋅10⁻⁵ cm²/s³. Kinetic energy transition has the same sign and is estimated as 2.8 ± 2.5⋅10⁻⁵ cm²/s³. Potential enstrophy is transferred to the mesoscale at a rate of 5.5 ± 2.7⋅10⁻¹⁸ s⁻³. These figures provide observational evidence of the properties of free geostrophic turbulence which were predicted by theory and observed in numerical experiments. This revised version was published online in July 2006 with corrections to the Cover Date.     

黄海海域陆相中生界油气远景

黄海海域油气勘探已40余载，尚未实现油气突破，其找油前景引起石油地质学家的极大关注。根据前人的认识和最新研究成果，结合邻区油气地化资料，探讨了黄海海域中生界地层生、储、盖特征，特别是白垩系，它分布广，厚度大，烃源岩达到较好生油岩标准，并且生、储、盖组合理想，中生界是该区下部油气勘探首选目标。     

基于二次散射的水污染遥感模型及其在珠江口水域的应用

根据水中悬浮物、污染物和水分子等的散射和吸收物理机制建模是实现水污染定量遥感的有效途径.基于一次散射的水污染遥感模型简单易行,但在浑浊度较大时其精度不高.在基于一次散射模型的基础上分析了多次散射的能量组成特点,提出再考虑二次散射可使模型的精度显著提高且不至于使模型过于复杂;导出了二次散射的补偿因子,同时给出了考虑二次散射因子的简单计算方法.将该模型应用于珠江口水域的水污染遥感的结果表明,较之基于一次散射的模型,考虑二次散射的水污染遥感模型在精度上有明显改进.遥感提取结果显示,珠江口水域重污染区主要分布在伶仃洋东北部,香港维多利亚港和深圳湾.     

海水中液-固界面的台阶型动力学曲线 Ⅰ.动力学曲线之台阶的消长和变化规律

对海水中Zn(Ⅱ),Ca(Ⅱ),Cd(Ⅱ)与高岭石、伊利石和蒙脱石等粘土矿物;无定形水合氧化铁、α-FeOOH等铁的水合氧化物;δ-MaO_2,γ-MnOOH,水锰矿等锰的水合氧化物等30个左右实验体系的液-固界面台阶型动力学曲线进行了系统的实验测定和全面的条件研究。在实验测定上提出两种方法、互为校核。对动力学曲线之台阶的消长和变化规律作了系统研究,确定主要影响因素是:金属离子初始浓度、固体交换剂量、体系的pH值和温度,以及搅拌速度等。     

流动注射-氢化物发生原子荧光法测定海洋沉积物样品中痕量铅

铅是一种具有累积性的有害元素,是海洋监测调查中沉积物介质的必测元素之一,常用测定方法有双硫腙分光光度法、火焰原子吸收光谱法、无火焰原子吸收光谱法等[1],前两种方法灵敏度较低,测定时一般需要预富集,操作较繁琐;后一种方法虽然灵敏度高,但仪器昂贵,对操作人员要求高.氢化物发生原子荧光法由于灵敏度高、检出限低且线性范围宽,在铅的分析中日益被重视.     

I(L)值完全诱导空间

作者引入 I(L)值完全下半连续映射 ,研究其性质。利用 I(L)值完全下半连续映射定义I(L)值完全诱导空间 ,给出 I(L)值完全诱导空间的拓扑基的表达形式 ,证得两个 I(L)值完全诱导空间的映射是连续映射的充分必要条件 ,并建立了乘积空间的 I(L)值完全诱导空间与 I(L)值完全诱导空间的乘积空间的联系     

黄海海域陆相中生界地震反射特征及靶区优选

利用前人对黄海海域油气勘探成果，作者对北黄海盆地，南黄海盆地北部坳陷陆相中生界进行了研究。结果认为：黄海海域陆相中生界分布广、厚度大、具有良好的生、储、盖组合，是该区下步油气战略性调查的首选目标。并提出北黄海陆相中生界油气勘探应以东部凹陷为主，同时兼顾中部凹陷。南黄海北部坳陷近期油气勘探重点应选择北部凹陷和加大东北凹陷的研究力度。南黄海南部坳陷陆相中生界油气勘探重点放在南五和南七凹陷。     

现场海水中有机污染物光学测量方法研究

介绍了一种用光学方法对海水中的有机污染物（主要包括：叶绿素-a、黄色物质、石油）进行测量的光学系统，该系统可同时测量海水中多种有机污染物的种类和浓度。     

温度、pH和金属离子对仿剌参蛋白酶活力影响的研究

利用分光光度计比色法测定了温度、pH值和Hg^2＋等9种金属离子对体长24．2cm±0．7cm仿刺参（Apostichopus japonicus）消化道中蛋白酶活性的影响。结果表明，蛋白酶的最适温度为40℃，对热不稳定，最适pH为7．2。Hg^2＋，Mn^2＋，Ag^＋，Pb^2＋，Ba^2＋，Ca^2＋对蛋白酶的活性有抑制作用，抑制作用由强至弱依次为Hg^2＋〉Ag^＋〉Mn^2＋〉Pb^2＋〉Ca^2＋〉Ba^2＋，其中Hg^2＋和Ag^＋与对照差异极显著（P〈0．01），表现出极强的抑制作用；Cu^2＋，Zn^2＋，Mg^2＋则对酶活有一定的促进作用，其促进作用大小依次为Mg^2＋〉Zn^2＋〉Cu^2＋，Mg^2＋与对照差异显著（P〈0．05）。     

A finite element model of interaction between viscous free surface waves and submerged cylinders

This paper describes the simulation of the flow of a viscous incompressible Newtonian liquid with a free surface. The Navier–Stokes equations are formulated using a streamline upwind Petrov–Galerkin scheme, and solved on a Q-tree-based finite element mesh that adapts to the moving free surface of the liquid. Special attention is given to fitting the mesh correctly to the free surface and solid wall boundaries. Fully non-linear free surface boundary conditions are implemented. Test cases include sloshing free surface motions in a rectangular tank and progressive waves over submerged cylinders.