陆缘海底滑坡及其影响

当块体水下重量向坡下的分量超过了破裂面上的抗剪强度时,就会发生海底滑坡。滑坡事件的结果取决于受影响的块体、范围以及事件的动力学机制,其结果可能对海底设施和建筑物毫无影响,也有可能造成巨大破坏,甚至可能诱发海啸并对沿岸造成广泛影响。我们是通过在河流三角洲和冰川冲积扇附近的陆坡上所见的滑坡痕迹以及广泛运移的海洋沉积物发现了大型的滑坡事件。这些滑坡发生在坡角非常低的陆坡区,从较深的水域一直延伸至陆架外缘。在更新世期间,这些地区沉积物的堆积量大而且比较快速,     

国外深水钢悬链线立管研究发展现状

介绍国外在新型深水立管系统--钢悬链线立管关键技术方面的研究发展现状,论述浮体一、二阶运动对钢悬链线立管疲劳寿命的影响、浮体升沉运动对钢悬链线立管触地点疲劳寿命的影响;钢悬链线立管与海底相互作用机制的实验研究及结果;钢悬链线立管涡致振动与疲劳的研究现状.并简要论述钢悬链线立管触地点问题的研究结论.     

海洋鱼类分子系统地理学研究进展

简要叙述了分子系统地理学的发展简史、研究内容,重点介绍了Avise的5种物种分布模式及中性溯祖理论。并回顾了近年来分子系统地理学的研究进展及其在海洋鱼类研究中的应用,最后对海洋鱼类分子系统地理学研究进行了展望。     

海洋磁力测量中测线方向的选择方法

采用测线间磁异常插值精度分析了测线方向对磁测的影响;探讨了测线方向的选择方法,结合我国不同海区磁异常分布特征给出了不同海区测量时测线方向的选择详细方案。结论表明:海洋磁力测量中,测线方向对磁异常插值精度的影响不大,但是为了获得更高的磁异常插值精度,测线方向应尽量沿磁异常梯度方向布设。给出的测线方向的选择方法和我国不同海区测线方向选择详细方案可供作业人员参考。     

中国海洋国土风不平浪不静 周边大国欲浑水摸鱼

海洋国土是国土资源的重要组成部分。南海是我国海上石油和贸易的生命线。扼两洋、制八方的南沙群岛是我国重要军事战略基地。这片海域不仅拥有巨大的水产资源,经多年的勘探和实际开采表明,它确属世界上除波斯湾、墨西哥湾以外的又一个蕴藏巨大油气资源的海域,初步估计油气总储量达630亿吨!2009年5月13日之前,《联合国海洋法公约》的缔约国,要向联合国大陆架界限委员会提交大陆架划界方案,否则其有关要求就不会得到承认。所以有人说,2009年中国周边的大国想要浑水摸鱼,中国的海洋国土风不平浪不静,但中国人要像守护土地一样守护我们的海洋。在这关键的时刻,我们勇敢地向海洋进发。3月,中国最大的渔政船抵达西沙群岛,在中国南沙群岛和西沙群岛出色的完成护渔、护航任务,并宣示中国对南海诸岛的主权;4月的海上大阅兵,我们用实力向世界说明,中国海军能够担负保卫国家海上安全、领海主权和维护世界海洋和平的重任!尽管有人认为,中国即使建造一艘航母,那也根本无法与美国的12艘航母相媲美;中国与美国的能力差距仍然很大,至少要再过几十年人民解放军海军才能成为美国海军的对手。但是在中国海军尚未到达世界最强地位时,就敢于敞开胸襟面对外界的探视,正充分体现了我...     

地理信息系统在海岸海洋地貌研究中的应用

随着现代海洋观测技术的发展,通过海岸海洋地貌调查获得的数据急剧增长。运用地理信息系统(GIS)将不同学科、不同来源、不同格式的数据进行集成管理、分析和表达已成为当前海岸海洋地貌研究的重点。系统介绍了GIS技术在海岸海洋地貌研究中新的方法体系,包括数据获取、数据处理、数据分析和数据表达四个部分,重点研究了GIS空间技术、海底地形建模和用三维可视化技术解译海洋地学,探索陆海交互作用中隐含信息的方法,并将其应用到沿海城市规划、海港选址、大陆架岛礁地貌环境研究的具体实例中,研究范围从陆到海涵盖整个海陆交互作用带,为海岸海洋社会发展、经济建设及外交权益提供科学基础和决策支持。通过上述方法体系与应用研究说明,以GIS为核心建立的多源地理空间信息平台使传统海岸海洋地貌研究的范围、内容及方法都发生了重大变化,但多源数据信息的精确解译和成功应用必须同时具有空间信息学和地貌学专家知识。     

Low-temperature alteration of oceanic island basalts and their contribution to transition metal circulation of the ocean

The major elements, rare earth elements （REE） and trace elements of four basalt samples from central and western Pacific ferro- manganese crust provinces have been analyzed using chemical methods and ICP - MS, respectively. The results indicate that the samples have been extensively altered and that the contents of their major elements have changed significantly. However, the similarity of REE partition patterns and trace element contents of basalt samples to those of fresh oceanic island basalts （OIB） indicate that the basalt samples originated as OIB. Because of low-temperature alteration, the contents of A1203 , Fe203 , MnO, K20 and P205 increased, while MgO and FeO decreased. Active components, such as magnesium and iron, were leached from OIB resulting in the relative enrichment of SiO2. The leaching of active components can cause the relative enrichment of REE, while the precipitation of LREE-rich ferromanganese oxides in vesicles and fissures not only causes an increase of REE contents, but also induces ＂fractionation＂ of LREE and HREE. Based on the enrichment mechanism of REE contents, the theoretical quantities of precipitated ferromanganese oxides and the depleted quantities of active components are calculated ： the depleted quantities of active components for the unit mass of fresh basalts vary in the range of 0.15 ～ 0. 657, and the precipitated quantities of ferromanganese oxides for the unit mass of fresh basahs vary in the range of 0. 006 ～ 0. 042. Of the major elements, the two most depleted are iron, and magnesium, with 18.28% ～ 70.95% of iron and 44.50% ～ 93.94% of magnesium in the fresh basalts was leached out. Theoretical calculation and geochemistry results both indicate that low-temperature alteration of basalts can supply abundant amount of metals to seawater, and may play an important role in ocean metal circulation.     

The effect of the wave-induced mixing on the upper ocean temperature in a climate model

The significant underestimation of sea surface temperature （SST） and the temperature in the upper ocean is one of common problems in present climate models. The influence of the wave-induced mixing on SST and the temperature in the upper ocean was examined based on a global climate model. The results from the model coupled with wave-induced mixing showed a significant improvement in the simulation of SST and the temperature in the upper ocean compared with those of the original model without wave effects. Although there has still a cold bias, the new simulation is much closer to the climatology, especially in the northern ocean and tropical ocean. This study indicates that some important physical processes in the accurate simulation of the ocean may be ignored in present climate models, and the wave-induced mixing is one of those factors. Thus, the wave-induced mixing （ or the effect of surface waves） should be incorporated properly into climate models in order to simulate or forecast the ocean, then climate system, more accurately.     

“Trends” and variations of global oceanic evaporation data sets from remote sensing

The variability in global oceanic evaporation data sets was examined for the period 1988-2000. These data sets are satellite estimates based on bulk aerodynamic formulations and include the NASA/Goddard Space Flight Center Satellite-based Surface Turbulent Flux version 2 （ GSSTF2）, the Japanese-ocean flux using remote sensing observations （J-OFURO）, and the Hamburg Ocean-Atmosphere Parameters and Fluxes from Satellite version 2 （HOAPS2）. The National Center for Environmental Prediction （NCEP） reanalysis is also included for comparison. An increase in global average surface latent heat flux （SLHF） can be observed in all the data sets. Empirical mode decomposition （EMD） shows long-term increases that started around 1990 for all remote sensing data sets. The effect of Mt. Pinatubo eruption in 1991 is clearly evident in HOAPS2 but is independent of the longterm increase. Linear regression analyses show increases of 9.4%, 13.0%, 7. 3%, and 3.9% for GSSTF2, J-OFURO, HOAPS2 and NCEP, for the periods of the data sets. Empirical orthogonal function （EOF） analyses show that the pattern of the first EOF of all data sets is consistent with a decadal variation associated with the enhancement of the tropical Hadley circulation, which is supported by other satellite observations. The second EOF of all four data sets is an ENSO mode, and the correlations between their time series and an SO1 are 0.74, 0.71,0.59, and 0.61 for GSSTF2, J-OFURO, HOAPS2, and NCEP in that order. When the Hadley modes are removed from the remote sensing data, the residue global increases are reduced to 2.2% , 7. 3%, and 〈 1% for GSSTF2, J-OFURO and HOAPS, respectively. If the ENSO mode is used as a calibration standard for the data sets, the Hadley mode is at least comparable to, if not larger than, the ENSO mode during our study period.