渤海、黄海、东海M2潮汐潮流的三维数值模拟

利用建立的一种新的半隐半显三维数值格式,将渤海、黄海、东海作为一个整体,采用球面坐标系下的三维潮波方程组,考虑了引潮力的作用,数值模拟了渤海、黄海、东海的M₂分潮的潮汐与潮流,结果较好地体现了渤海、黄海、东海M₂分潮的特征.通过比较65个验潮站的实测值与计算值,所得计算结果的振幅差平均为6.4cm,相角差为6.1°,计算与实测符合良好.本文给出的问潮图与Fang于1986年给出的实测占数值综合结果基本一致.对选取的47个测流站,比较了各层潮流调和常数Ucosζ、Usinζ、Vcosη、Vsinη的计算值与实测值的偏差,偏差绝对值的平均在2.6～4.9cm/s之间.并比较分析了潮流的垂直结构,所得结果与实测符合较好.首次揭示出回流点的水平位置不随深度变化这一特性.最后给出了M₂分潮的潮能消耗.     

渤海的潮混合特征及潮汐锋现象

人们对黄海的潮汐锋现象已有一些报道和研究[1～4],但对渤海的潮汐锋现象却没有进行过认真的分析和讨论,迄今只有赵保仁[1]在讨论黄海的潮汐锋时,指出过渤海海峡的潮汐锋现象;而黄大吉等[5]在数值计算渤海的温度变化时也指出在渤海内部存在着潮汐锋现象,但却没有进行深入的分析和给出任何实测证据.本文试图根据方国洪和曹德明最近在渤海取得的潮汐潮流数值计算结果1),计算由Simpson等[6]提出的陆架海的潮混合层化参量,来讨论渤海的潮混合特征;并进一步利用实测水文资料和海面温度的卫星遥感图像来说明渤海潮汐锋的分布和变化特征.     

Simulation of the seasonal thermal structure in the Bohai Sea

The seasonal thermal structure in the Bohai Sea are examined with a three-dimensional boroclinic primitive equation model for shelf sea.The evolution of the seasonal thermal stratification is well simulated.The stratification appears early in April,first in the area off Qinhuangdao and it is well developed in the middle of May.It intensifies with synoptic and neap-spring fluctuations throughout the summer and reaches its maximum in the middle of July.Eventually,it is destroyed at the end of September.There are cold water belts between well-mixed and stratified regions.They are loGated on the mixed side of tidal fronts,and coincide with the isolines for a temperature difference of 1-2℃ between surface and bottom.The sea surface temperature (SST) distribution shows local maxima at the head of three bays and to the south of Qinhuangdao during the summer.The Bohai Sea responds to the variability in the atmospheric forcing and in tides with the synoptic and neap-spring variations of SST,as well as in the stratification and in variable positions of tidal fronts.     

渤海夏季实测潮流特征

对渤海内11个测站的夏季潮流资料进行调和分析。对不同仪器、不同时间段潮流资料的分析结果进行比较,并通过潮流调和常数进一步计算潮流椭圆要素,据此分析分潮流最大流速的垂直分布,渤海全日潮和半日潮的潮流旋转方向和潮流性质。     

渤黄海潮汐潮流精细化数值模拟及可视化预报系统

利用有限元海洋模式ADCIRC (Advanced Circulation Model),建立了高分辨率的渤黄海二维潮汐潮流数值模型,该模型以M2,S2,K1,O1等8个分潮的水位作为驱动,模拟出了该8个分潮的潮汐潮流调和常数;利用该调和常数预报的潮位和二维平均潮流与实测资料相比,符合较好;利用模拟得到的潮汐潮流调和常...     

Numerical Study on Tidal Mixing in the Bohai Sea

The spatial and temporal variability of tidal mixing in Bohai Sea is studied using a numerical approach. In calculating tidal mixing, accurate barotropic tidal current is obtained via a harmonic analysis package utilizing the simulated current output from a high-resolution regional ocean model. And a “small-scale” roughness map is adopted to describe the detailed topographic features of Bohai Sea. It is shown that the tidal mixing estimated in Bohai Sea is much higher than the level of global background, and fluctuates considerably at some regions within a single day. In Liaodong Bay, Bohai Bay and Bohai Strait, the mixing varies greatly, with the peak value of O (10^?2) m² s^?1. The order of magnitude of mixing in Laizhou Bay is about O (10^?5～10^?3) m² s^?1. Mixing with background level of O (10^?5) m² s^?1 only appears in central area. Result also shows that rough topography plays relatively a more important role than tidal current in enhancing diapycnal mixing in Bohai Sea. The distributions of tidal mixing in selected sections reveal that the vertical stratification in Bohai Sea is not obvious, generally renders a barotropic structure.     

渤海夏季环流和渤海海峡水体输运的数值诊断研究

建立了一个基于POM的涵盖渤、黄、东海的海洋环流诊断模式来研究渤海夏季环流。分别进行了风海流、密度流和总环流的模拟。从模拟结果得出:渤海海峡夏季与北黄海的水交换总的来说表现为北进南出特征,但与冬季相比,其流量较小(约5×103m3s 1)且不能深入渤海。辽东湾基本上受气旋式环流控制,黄河口外至渤海湾受反气旋式环流控制。数值实验表明,渤海夏季主要属密度流性质。在渤海海峡的北岸存在一支明显的上升流,而且北部的海水垂向运动比南部要强许多。在渤海中部的纬向断面上,东部的海水垂直交换要比西部活跃得多;渤海海水的垂向运动亦主要是密度流导致的。     

基于FVCOM的渤海冬季三维风生环流数值模拟

利用FVCOM海洋模型以及MM5气象模式预报风场,对渤海冬季三维风生环流进行了数值模拟,结果显示:渤海风生环流具有显著的三维结构,表层基本沿风向运动,量值在5~10 cm/s,海峡处流速可达15 cm/s,底层有明显的补偿流,量值<3 cm/s;深度平均流环流状态明显,渤海海峡海流北进南出,渤海中部以及辽东湾为一顺时针环流,渤海湾以及莱州湾基本呈逆时针环流。文章通过对比实验,进一步讨论了海面风应力以及海底地形对渤海环流的不同影响,得出:在渤海中部风应力的切变涡度是形成顺指针流型的主要驱动力;除渤海中部以外,渤海冬季流型受地形作用的影响要大于海面风场的切变涡度。     

渤黄东海潮能通量与潮能耗散

利用同化高度计资料和沿岸验潮站资料对潮汐数值模式进行同化,根据同化后的数值模式结果,对渤黄东海中的潮能通量和潮能耗散进行了研究.M2分潮从太平洋进入渤黄东海的潮能为122.499GW,占4个主要分潮进入总量的79%.黄海是半日分潮潮能耗散的主要海区.全日分潮则主要耗散在东海.全日分潮在遇到陆坡的阻挡以后有一部分潮能沿着冲绳海槽向西南传播,并有一部分潮能反射回太平洋,其中O1分潮通过C3断面反射回太平洋的潮能,约占其传入东海潮能的44%.     

渤海盐度年代际变异对环流结构的影响

收集并利用1950年代~1990年代后共5个年代的渤海盐度统计资料,诊断计算了不同时期的渤海密度流分布及其变化。通过对比分析,揭示了冬、夏两季渤海盐度的年代际变异特征及其对环流结构的影响。结果显示,自1980年代以来,渤海的盐度格局发生了显著的变化,盐度的水平梯度减小,渤海内部盐度由明显低于海峡区向普遍高于海峡区转变。渤海密度流在冬季较弱,对总环流的贡献较小,而在夏季较强,并在总环流中占优。夏季,渤海密度流随盐度变异有所改变,在1990年代后环流系统在海区中部、渤海湾以及莱州湾呈现出局部的差异,原有流动明显减弱。夏季渤海重要断面的密度流流量和盐通量值整体上呈减小趋势,渤海与外海间的平均水及盐交换量由1950年代的7.85×104 m3/s、2.49×106kg/s降至1990年代后的7.09×104 m3/s、2.27×106 kg/s。     

Relationships Between Tidal Prism and Throat Area of Tidal Inlets Along Yellow Sea and Bohai Sea Coasts

The relationship between P (spring tidal prism) and A (throat area below mean sea level) is statistically analysed in terms of 29 tidal inlets or bays along the Huanghai Sea (Yellow Sea) and Bohai Sea coasts. For 15 of these tidal inlets, the best regression equation is A(km2) = 0.845 />(km3)1.20. The analysis shows that C and n are little different from those in the P-A relationship for the inlets of the South China Sea and East China Sea coasts. It is noted that the relationship between P and A is unstable because of the difference in sediment abundance. The study shows that a united P-A relationship can be obtained for the tidal inlets of lagoon type and bay-drowned-valley type, not containing some half-circle shape bays which confront deep water. These half-circle bays do not belong to tidal inlets because they do not have enough sediment abundance and are fairly open.     

渤海夏季底层环流的观测与模拟

通过分析用人工水母在渤海夏季进行的首次底层环流的 L agrange观测 ,发现在渤海底层 Lagrange余流只有几 cm/s,在海峡处基本是北进南出的情况 ,在辽东湾有 1个逆时针的环流 ,在渤海湾有 1个顺时针的环流。但是进一步分析发现 ,底层人工水母的运移 (代表了物质输运 )并不完全反映环流的方向 ,在有些站位甚至出现相反的趋势。通过数值模拟知道瞬时的扩散及沉降等过程是产生这种结果的原因 ,而根源在于环流场的不均匀性。     

黄渤海区蛾螺的齿舌研究

采用电子显微镜对黄渤海区野外调查采集的蛾螺科Buccinidae 6个种,分别是香螺Neptunea arthriti-ca cumingii、略胀管蛾螺 Siphonalia subdilatata、皮氏蛾螺 Volutharpa ampullaceal、水泡蛾螺Buccinumpemphigum、黄海蛾螺 Buccinium yokomaruae、褶纺锤螺 Plicifusus sp.的齿舌进行了解剖,对其形态特征进行了对比研究.研究结果表明,6个种的齿式均为1·1·1.以往曾有报道蛾螺科的齿舌中央齿具有3～7个齿尖,而本研究发现了蛾螺科的褶纺锤螺,其中央齿齿尖数目有8枚.同时发现,黄渤海区蛾螺的侧齿数目有的是不对称的.本研究可为蛾螺科的分类学研究提供参考资料.     

Tidal bedforms in eastern part of the Bohai Sea

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秦皇岛近岸海域绿藻微观繁殖体的分布以及在绿潮形成中的作用

2015年以来,秦皇岛近岸海域暴发了绿潮,对北戴河旅游区的环境和生态系统造成了严重影响。绿藻微观繁殖体在绿潮的形成过程中起到重要作用,主要包括孢子、配子、幼苗和营养片段。绿藻微观繁殖体作为绿潮的“种源”,其分布规律可以反映绿潮的“藻源”位置。本研究于2016年4-9月和2017年1月对秦皇岛近岸海域绿藻微观繁殖体的调查,探究了其分布规律以及生物量变化。结果显示,绿藻微观繁殖体主要分布在近岸海域,由近岸向远岸海域逐渐降低。绿藻微观繁殖体的数量在7、8月份最高,在冬季最低。受绿潮影响严重的海域微观繁殖体数量高于其它海域。秦皇岛近岸海域的绿藻微观繁殖体为该海域绿潮的种源,其分布规律表明秦皇岛近岸海域绿潮起源于本地。     

渤海潮波系统的数值模拟

利用二维非线性潮波方程组,讨论了渤黄海主要分潮(全日潮、半日潮及浅水分潮) 数值模拟中的有关问题。数值模拟中同时考虑了4个主要分潮(M2,S2,K1,O1)和两个浅水分潮(M4,MS4)。分析表明,在渤黄海潮波系统数值模拟中,稳定后选取14 d的数值模拟结果进行调和分析能够取得最佳(最合理)的调和分析结果。计算出调和常数的模拟值与实测值之差的绝对平均值:M2分潮的振幅差为4cm,迟角差为3.3°,S2分潮的振幅差为2cm,迟角差为4.2°,K1 分潮的振幅差为1cm,迟角差为3.7°,O1分潮的振幅差为2 cm,迟角差为5.5°。实验结果较好地体现了渤黄海潮波系统的特征。     

A model study on carbon cycle and phytoplankton dynamical processes in the Bohai Sea

The carbon cycle of lower trophic level in the Bohai Sea is studied with a three-dimensional biological and physical coupled model. The influences of the processes (including horizontal advection, river nutrient load, active transport etc. ) on the phytoplankton biomass and its evolution are estimated. The Bohai Sea is a weak sink of the CO2 in the atmosphere. During the cycle, 13.7% of the gross production of the phytoplankton enter the higher trophic level and 76.8 % of it are consumed by the respiration itself. The nutrient reproduction comes mainly from the internal biogeochemical loop and the rem-ineralization is an important mechanism of the nutrient transfer from organic form to inorganic. Horizontal advection decreases the total biomass and the eutrophication in some sea areas. Change in the nutrient load of a river can only adjust the local system near its estuary. Controlling the input of the nutrient, which limits the alga growth, can be very useful in lessening the phytoplankton biomass.     

Three-dimensional modeling of tidal circulation and mixing over the Java Sea

A combination of a three-dimensional hydrodynamic model and in-situ measurements provides the structures of barotropic tides, tidal circulation and their relationship with turbulent mixing in the Java Sea, which allow us to understand the impact of the tides on material distribution. The model retains high horizontal and vertical resolutions and is forced by the boundary conditions taken from a global model. The measurements are composed of the sea level at coastal stations and currents at moorings embedded in Seawatch buoys, in addition to hydrographic data. The simulated tidal elevations are in good agreement with the data for the K₁ and M₂ constituents. The K₁ tide clearly shows the lowest mode resonance in the Java Sea with intensification around the nodal point in the central region. The M₂ tide is secondary and propagates westward from the eastern open boundary, along with a counterclockwise amphidromic point in the western part. The K₁ tide produces a major component of tidal energy, which flows westward and dissipates through the node region near the Karimata Strait. Meanwhile, the M₂ tide dissipates in the entire Java Sea. However, the residual currents are mainly induced by the M₂ tide, which flows westward following the M₂ tidal wave propagation. The tidal mixing is mainly caused by K₁ tide which peaks at the central region and is consistent with the uniform temperature and salinity along the vertical dimension. This mixing is expected to play an important role in the vertical exchange of nutrients and control of biological productivity.     

渤海海湾纳潮量现状卫星遥感调查与分析

利用14景环境与灾害监测预报星(HJ-1A/1B)CCD相机卫星数据,提取不同潮位下渤海海湾的水域面积.结合潮汐订正的方法,计算获得了2010年辽东湾、渤海湾和莱州湾的纳潮量分别为9.32x1010m3、3.03x1010m3和0.54×1010m3.计算结果将为渤海动力学研究提供参考.     

Simulation of barotropic and baroclinic tides in the South China Sea

The four leading tidal constituents M2, S2, K1 and O1 in the South China Sea are simulated by using POM. The model is forced with tide-generating potential and four leading tidal constituents at the open boundary. In order to simulate more exactly, TOPEX/Poseidon altimeter data are assimilated into the model and the open boundary is optimized. The computed co-tidal charts for M2 and K1 constituents are generally consistent with previous results in this region. The numerical simulation shows that energetic internal tides are generated over the bottom topography such as the Dongsha Islands, the Xisha Islands, the Zhongsha Islands, the Nansha Islands and the Luzon Strait.