刻赤海峡和亚速海的生成年代

为了普查和勘探陆架上的新油田和固体矿产,研究俄罗斯南部海洋具有非常现实的意义。正是在这里,解决着亚速海一黑海盆地的地层和古地理,以及与同时代形成的地中海和里海沉积层对比的主要问题。     

鄂霍次克海南部晚第四纪的古海洋学记录

鄂霍次克海是太平洋第二大边缘海,在西北太平洋水文环境中扮演重要角色。综合分析了鄂霍次克海南部T00孔沉积物的多种替代性指标,揭示了鄂霍次克海晚第四纪以来的环境变化受季节性海冰变化、大气循环模式、陆源物质通量和表层生产力的共同影响。对比放射虫Cycladophora davisiana的含量曲线与LR04氧同位素记录,该孔沉积物可划分为氧同位素1-7期,底部年龄约为250ka。C.davisiana在间冰期的高含量表明鄂霍次克海中层水是北太平洋中层水的主要源区。蛋白石和有机碳的分析显示鄂霍次克海表层生产力在冰消期突然增大,随后在间冰期逐渐下降,冰期普遍较低。C/N比值曲线的分析说明鄂霍次克海的有机质沉积物主要来源于海洋。沉积物粒度的分析揭示鄂霍次克海冰期时陆源粗颗粒含量较低,至冰消期粗颗粒含量突然增加,而在间冰期陆源粗颗粒含量较高。     

新村湾海黾草（Thalassia hemprichii）的生长策略研究

海草的种内差异是它在特定环境中形成生长策略的关键因素。本研究通过将现场实测数据和文献记录进行类比以探讨新村湾海黾草（Thalassia hemprichii）的生长策略。研究结果表明海黾草地下茎伸长速率的差异可以解释该海草生物量和生长的大部分种内差异;新村湾海黾草垂直地下茎和水平地下茎的伸长速率在夏季分别为2．38cm／yr和24．4cm／yr,在冬季分别为1．87cm／yr和29．2cm／yr。海黾草茎枝密度的变化范围是822shootsm^-2至941shoots m^-2,最大值出现在夏季而最小值出现在冬季,生物量的季节变化与此类似。新村湾海黾草通过交替调节垂直地下茎和水平地下茎的伸长速率以适应光照强度和温度的季节变化,从而导致茎枝密度和地上生物量的相应变化。通过这样的生长策略,海黾草可以把夏季干旱和冬季光照强度下降对其生长造成的消极影响降低到最小程度。     

利用jason-1资料验证区域海气耦合模式模拟台风浪的有效性

本文基于中尺度大气模式MM5、区域海洋模式POM及第三代海浪模式WW3建立了综合考虑海气间动力、热力相互作用的区域海气耦合模式系统.利用耦合模式模拟中国南海的两次典型的台风过程,并利用iasotl-1卫星高度计资料验证耦合模式模拟台风浪的有效性.结果表明:耦合模式能够较好地模拟南海台风的移动和强度,但模拟台风系统略偏弱,耦合模式对正常路径台风的模拟效果优干转向型台风;耦合模式能够模拟出南海台风过程中海浪场的演变特征,模拟结果与iason实测值相关性较好,相对误差在可接受范围;区域海气耦合模式为台风等强天气过程中海洋、气象要素演变特征及海-气界面相互作用过程的研究开辟了一条有效途径.     

对“海域使用分类体系”的几点思考

文章在分析海域使用分类体系制定背景与意义的基础上,指出海域使用分类体系遵循的基本原则,并探讨和分析了新的海域使用分类体系设置及调整的主要内容,对与其他相关管理工作的衔接关系进行了简要分析和总结.     

铁细菌在北极特定海区沉积物中的分布

用平板法对取自北极加拿大海盆和楚科奇海10个沉积物岩芯中184个样品进行铁细菌检出率和含量分析.结果表明,4 ℃培养时铁细菌的检出率为10.33%,含量范围均为未检出～ 8.40×106 个/g(湿样,下同),平均含量为7.76×104 个/g.25 ℃培养时铁细菌的检出率为40.22%,含量范围均为未检出～1.00×108 个/g,平均含量为1.40×106 个/g.研究区沉积物中铁细菌含量高于太平洋深海沉积物中铁细菌含量;与前人在淡水沉积物中所作的调查相比,研究区的铁细菌含量落在前人调查结果范围内,但比细菌簇中铁细菌含量要低,这表明研究区海底沉积物的微生境较适合铁细菌的繁衍.对铁细菌在不同水深、经纬度以及沉积物深度中的分布进行了讨论,结果表明铁细菌检出率随沉积物深度增加而增大,含量变化呈现出浅层少、下层多之势.铁细菌的纬度分布范围较大,并显出有扩大的趋势.铁细菌含量与检出率随水深加大也呈跳跃式变化,水较深时铁细菌有较高的检出率和数量,但离陆距离的增加又会在物质供应上对其生长产生制约.培养温度对铁细菌分布有一定影响,温度提高不仅提高了铁细菌检出率,也增加了铁细菌的含量.这也许与部分铁细菌的最适宜生长温度较高有关,温度升高有利于某些铁细菌的生长发育.     

A coupled multi-category sea ice model and POM for Baffin Bay and the Labrador Sea

An overview of the seasonal variation of sea-ice cover in Baffin Bay and the Labrador Sea is given. A coupled ice-ocean model, CECOM, has been developed to study the seasonal variation and associated ice-ocean processes. The sea-ice component of the model is a multi-category ice model in which mean concentration and thickness are expressed in terms of a thickness distribution function. Ten categories of ice thickness are specified in the model. Sea ice is coupled dynamically and thermodynamically to the Princeton Ocean Model. Selected results from the model including the seasonal variation of sea ice in Baffin Bay, the North Water polynya and ice growth and melt over the Labrador Shelf are presented.     

Contribution of a pathway through the Arctic Ocean to the re cent reduction in the ice cover

The sea ice cover in the Arctic Ocean has been reducing and hit the low record in the summer of 2007. The anomaly was extremely large in the Pacific sector. The sea level height in the Bering Sea vs. the Greenland Sea has been analyzed and compared with the current meter data through the Bering Strait. A recent peak existed as a consequence of atmospheric circulation and is considered to contribute to inflow of the Pacific Water into the Arctic Basin. The timing of the Pacific Water inflow matched with the sea ice reduction in the Pacific sector and suggests a significant increase in heat flux. This component should be included in the model prediction for answering the question when the Arctic sea ice becomes a seasonal ice cover.     

A coupled ice-ocean ecosystem model for 1-D and 3-D applications in the Bering and Chukchi Seas

Primary production in the Bering and Chukchi Seas is strongly influenced by the annual cycle of sea ice. Here pelagic and sea ice algal ecosystems coexist and interact with each other. Ecosystem modeling of sea ice associated phytoplankton blooms has been understudied compared to open water ecosystem model applications. This study introduces a general coupled ice-ocean ecosystem model with equations and parameters for 1-D and 3-D applications that is based on 1-D coupled ice-ocean ecosystem model development in the landfast ice in the Chukchi Sea and marginal ice zone of Bering Sea. The biological model includes both pelagic and sea ice algal habitats with 10 compartments： three phytoplankton （pelagic diatom, flagellates and ice algae： D, F, and Ai） , three zooplankton （copepods, large zooplankton, and microzooplankton ： ZS, ZL, ZP） , three nutrients （ nitrate ＋ nitrite, ammonium, silicon ： NO3 , NH4, Si） and detritus （Det）. The coupling of the biological models with physical ocean models is straightforward with just the addition of the advection and diffusion terms to the ecosystem model. The coupling with a multi-category sea ice model requires the same calculation of the sea ice ecosystem model in each ice thickness category and the redistribution between categories caused by both dynamic and thermodynamic forcing as in the physical model. Phytoplankton and ice algal self-shading effect is the sole feedback from the ecosystem model to the physical model.     

楚科奇海和加拿大海盆表层沉积物中好气异养细菌的地理分布

本文用MPN法测定楚科奇海和加拿大海盆表层沉积物中好气异养细菌(GAB)的含量,并对其地理学分布进行分析。结果表明,研究区GAB的检出率高达100%。4℃时GAB的含量范围、平均含量为4.00×102-2.40×106个.g-1、1.71×106个.g-1。25℃时GAB的含量范围、平均含量为2.40×105-2.40×107个.g-1、1.10×107个.g-1。无论是含量范围,还是平均含量,均是25℃时的培养结果大于4℃时的培养结果。GAB含量的地理分布趋势是随纬度增高,含量呈降低趋势。在经度变化上则为由东向西,含量呈降低趋势。对沉积物所处水深的分析,表明其在4℃培养得出来的GAB含量随水深增加有下降的趋势,25℃培养出来的GAB含量受环境影响较小,与水深变化关系不明显。