台湾海峡海流结构及海水通量

主要根据台湾海峡的实测海流资料，以夏、冬为代表季节，分析了台湾海峡２—３个纬向断面的海流结构，计算出各断面的海水通量。结果表明：夏季，台湾海峡中、北部海域各层的海流一般偏Ｎ向流动，Ｎ向的海水净通量为３．３２×１０６ｍ３·ｓ－１；冬季，高温高盐的黑潮水和南海水由南向北经南部断面进入台湾海峡，其海水通量分别为１．６９×１０６ｍ３·ｓ－１和０．５９×１０６ｍ３·ｓ－１；而东海水由北向南通过北部断面进入台湾海峡，其海水通量为１．０２×１０６ｍ３·ｓ－１，其中，有０．４０×１０６ｍ３·ｓ－１的海水沿着福建和广东近岸流进南海，其余０．６２×１０６ｍ３·ｓ－１的海水在台湾海峡北部混合后随同黑潮水和南海水流入东海。总之，流经台湾海峡的Ｎ向海水净通量为１．７４×１０６ｍ３·ｓ－１。     

Progress in Scatterometer Application

Progress in the scientific application of space-based scatterometer data over the past two decades is reviewed. There has been continuous improvement in coverage, resolution, and accuracy. Besides the traditional applications in weather and ocean-atmosphere interaction, which are based on ocean surface wind vectors, emerging applications over land and ice are also described. Future missions and new technology are introduced. This revised version was published online in August 2006 with corrections to the Cover Date.     

Chemical Fluxes of Asian Rivers into Oceans and their Controlling Factors

Chemical fluxes of Asian rivers into oceans bear different regional variations. Three zones are characteristic of distinct dissolved sediment loads and yields and ionic concentration.Rivers into oceans in China play an important role in Asia because of their different chemical fluxes, among which those draining the Loess Plateau have high ionic concentration, low water discharges and dissolved sediment loads and yields.Climate, vegetation, soil and strata lithology, chemical weathering intensity and tectonic activity dominate chemical fluxes of Asian rivers into oceans, and different factors have different effects on the chemical fluxes of separate regional rivers. Rising of the Tibet Plateau also exerts an important influence on chemical compositions of rivers originating from it.     

Longshore drift estimation using fluorescent tracers: New insights from an experiment at Comporta Beach, Portugal

A fluorescent sand-tracer experiment was performed at Comporta Beach (Portugal) with the aim of acquiring longshore sediment transport data on a reflective beach, the optimization of field and laboratory tracer procedures and the improvement of the conceptual model used to support tracer data interpretation.

The field experiment was performed on a mesotidal reflective beach face in low energetic conditions (significant wave height between 0.4 and 0.5 m). Two different colour tracers (orange and blue) were injected at low tide and sampled in the two subsequent low tides using a high resolution 3D grid extending 450 m alongshore and 30 m cross-shore. Marked sand was detected using an automatic digital image processing system developed in the scope of the present experiment.

Results for the two colour tracers show a remarkable coherence, with high recovery rates attesting data validity. Sand tracer displayed a high advection velocity, but with distinct vertical distribution patterns in the two tides: in the first tide there was a clear decrease in tracer advection velocity with depth while in the second tide, the tracer exhibited an almost uniform vertical velocity distribution. This differing behaviour suggests that, in the first tide, the tracer had not reached equilibrium within the transport system, pointing to a considerable time lag between injection and complete mixing. This issue has important implications for the interpretation of tracer data, indicating that short term tracer experiments tend to overestimate transport rates. In this work, therefore, longshore estimates were based on tracer results obtained during the second tide.

The estimated total longshore transport rate at Comporta Beach was 2 × 10^− 3 m³/s, more than four times larger than predicted using standard empirical longshore formulas. This discrepancy, which results from the unusually large active moving layer observed during the experiment, confirms the idea that most common longshore transport equations under-estimate total sediment transport in plunging/surging waves.     

好望角附近海域春季大风的几种主要形势分析

通过普查和分析，概括出了春季好望角附近海域三种主要大风出现时的模型图，并以一个月中逐日4次船舶测风报告为例，分析了好望角大风的某些主要特征。     

长江口泥沙絮凝静水沉降动力学模式的试验研究

细颗粒泥沙在咸水中的絮凝沉降是河流泥沙向海输送过程中在河口区发生的重要现象，是河口拦门沙形成与发育的主要原因之一。本文根据室内模拟试验研究，提出长江口泥沙絮凝静水沉降的二级动力学模式，通过该式求得不同泥沙含量和盐度情况下絮凝沉降的衰减系数，半衰期和平均沉降速率等动力学参数，定量地分析泥沙含量和盐度对泥沙絮凝沉降过程的影响。     

Eddy Diffusion Coefficients of Suspended Particulate Matter: Effects of Wind Energy Transfer and Stratification

Gross sedimentation rates (GSR) have been measured using sediment traps placed at nine different levels above the bed (0·3, 0·5, 0·8, 1·0, 2·0, 4·0, 6·0, 8·0 and 10·0 m). The sediment traps were deployed for 1·25 years and recovered 28 times during the study period. Low average GSR values of 5·5 g m^-2 day^-1 were obtained at 10·0 m, and high average GSR values of 114·8 g m^-2 day^-1 were obtained at 0·3 m. An expression for the eddy diffusion coefficient of suspended particulate matter (K_s), based on the measured GSR is given. The expression has been used for modelling of K_s at the different trap levels above the bed. High values (≈42 cm² s^-1) of K_s were obtained at the upper traps, whereas low values (≈2 cm² s^-1) were obtained near the bed. Comparison between level of turbulent energy in terms of shear stress at the boundaries of the water column, i.e. from the wind and the bed flow, showed that wind energy exceeded that of the bed flow by a factor 16. At 5·0 m K_s was positively correlated (r=0·66) to the eddy diffusion coefficient of momentum (K_m) derived from the wind energy transfer to the water, giving an average β of 0·5 for K_s =βK_m. The density difference between surface and bottom waters has been designated a parameter of stratification, and is discussed in relation to variations of K_s and K_m .     

胶州湾口海底沙波的类型、特征及发育影响因素

采用多波束资料对胶州湾口的海底沙波类型、特征进行了研究,发现研究区主要有线性沙波(二维)、沙丘(三维)2种沙波类型。结合水流流速、海底构造和表层沉积物综合分析发现:海底沙波缓坡朝向与优势流向不完全一致,为强流作用的产物,在涨、落潮作用下均可形成;沉积物的多寡是研究区海底沙波类型分布的决定因素,海底松散沉积物较为丰富的地区形成二维沙波。在水动力强大的胶州湾口,沉积物多分布在构造低洼地带,使二维线性沙波的分布与海底断裂延伸方向一致。     

WATER MASS FORMATION IN THE SOUTH INDIAN OCEAN BY AIR-SEA FLUXES

1Introduction　TheIndianCentralWater (ICW) ,formedandsubductedintheSubtropicalConvergenceintheSouthIndianOcean ,occupiesasignificantportionofthethermoclineintheIndianOcean[1,2 ]　 (Fig .1 ) .TheSubantarcticModeWater(SAMW)isformedinthe 2 6.5-2 7.1σθrangenorthoftheSub antarcticFront—thesouthernboundaryofthesubtropicalgyres[3]　 .InthesoutheastIndianO cean ,theSAMWisthethickest,ventilatedasathicklayerofhighoxygenextendingtothetropicalIndianOcean[4 ,5 ]　 .　Watermasstransformation…