南海海域叶绿素浓度分布特征的卫星遥感分析

介绍了第二代海洋水色传感器SeaWiFS资料的特点汲其基本处理方法，海水叶绿素浓度提取方法，对南海域表层海水叶绿素浓度分布的时空变化特征及其与营养物质和南海环流的关系进行了初步分析。     

A singular evolutive extended Kalman filter to assimilate ocean color data in a coupled physical–biochemical model of the North Atlantic ocean

Within the European DIADEM project, a data assimilation system for coupled ocean circulation and marine ecosystem models has been implemented for the North Atlantic and the Nordic Seas. One objective of this project is to demonstrate the relevance of sophisticated methods to assimilate satellite data such as altimetry, surface temperature and ocean color, into realistic ocean models. In this paper, the singular evolutive extended Kalman (SEEK) filter, which is an advanced assimilation scheme where three-dimensional, multivariate error statistics are taken into account, is used to assimilate ocean color data into the biological component of the coupled system. The marine ecosystem model, derived from the FDM model [J. Mar. Res. 48 (1990) 591], includes 11 nitrogen and carbon compartments and describes the synthesis of organic matter in the euphotic zone, its consumption by animals of upper trophic levels, and the recycling of detritic material in the deep ocean. The circulation model coupled to the ecosystem is the Miami isopycnic coordinate ocean model (MICOM), which covers the Atlantic and the Arctic Oceans with an enhanced resolution in the North Atlantic basin. The model is forced with realistic ECMWF ocean/atmosphere fluxes, which permits to resolve the seasonal variability of the circulation and mixed layer properties. In the twin assimimation experiments reported here, the predictions of the coupled model are corrected every 10 days using pseudo-measurements of surface phytoplankton as a substitute to chlorophyll concentrations measured from space. The diagnostics of these experiments indicate that the assimilation is feasible with a reduced-order Kalman filter of small rank (of order 10) as long as a sufficiently good identification of the error structure is available. In addition, the control of non-observed quantities such as zooplankton and nitrate concentrations is made possible, owing to the multivariate nature of the analysis scheme. However, a too severe truncation of the error sub-space downgrades the propagation of surface information below the mixed layer. The reduction of the actual state vector to the surface layers is therefore investigated to improve the estimation process in the perspective of sea-viewing wide field-of-view sensor (SeaWiFS) data assimilation experiments.     

中国北方沿海食用贝类油污染特征研究

１９９０年７月～１９９１年１２月，监测了中国北部沿海食用贝类体内的污染物残留量水平。本文用石油烃的分析数据为基础，讨论了沿岸贝类受石油烃污染的现状和分布特征；计算了样品干、湿重含量的本底值范围。给出了油标准和标准之间的互校系数Ｒ值。对样品进行了同步荧光光谱分析，并用同步荧光光谱的分析数据，计算了样品间模糊相关系数，做了模糊聚类分析。     

南海294站柱状沉积孢粉、藻类研究及古环境意义

通过对南海294站深海柱状剖面孢粉、藻类的研究,将294站从下至上划分为7个孢粉组合带: 带为Dacrydium-Pinus-Lithocarpus-Quercus(常绿)-Cyathea-Polypodiaceae; 带为Castanopsis-Lithocarpus-Dacrydium-Quercus(常绿)-Pinus-Polypodiaceae; 带为Quercus(常绿)-Castanopsis-Podocarpus-Cyathea-Polypodiaceae; 带为Polypodiaceae-Cyathea-Pteris-Pinus-Gramineae; 带为Quercus(常绿)-Podocarpus-Lithocarpus-Pinus-Cyathea-Polypodi-aceae; 带为Pinus-Quercus(常绿)-Palmae-Mangrovepollen-Gramineae; 带为Dacrydium-Palmae-Mangrovepollen-Pinus-Cyperaceae-Cyathea。相应恢复了南海东部地区12万年以来5个植被、气候演替阶段,依次为:炎热、湿润的热带季雨林—暖热而稍干的热带北缘半常绿季雨林—炎热、湿润的热带季雨林—暖热而稍干的热带北缘半常绿季雨林—炎热、湿润的热带季雨林。结合氧同位素测年资料,对南海294站柱状剖面地层时代划分进行了讨论。     

Effect of Sea Level Variation on Tidal Characteristic Values for the East China Sea

1 .IntroductionTheglobalairtemperatureroseabout 0 .5～ 0 .6°Coverthepast 2 0thcentury ,andtheglobalmeansealevelincreasedbyabout2 0cmduringtheperiod .Theregionalmeansealevelriseswiththerisingglobalmeansealevel.Zuoetal.( 1 997)indicatedthatthemeanrisingrateofabsolutemeansealevelalongtheChinacoastontheassumptionofunifiedisostaticdatumis 2mm a .Woodworth( 1 999)analyzedsealevelspanning 1 76 8tothepresentinLiverpool,andobtainedaseculartrendforheperiodupto 1 880of0 .39± 0 .1 7mm a ,andatrendfort…     

Sublittoral meiofauna with particular reference to nematodes in the southern Yellow Sea, China

Densities of major meiofaunal taxa were investigated at 34 sampling stations during six cruises by R/V Beidou to the southern Yellow Sea, China from 2000 to 2004, and the community structure of free-living marine nematodes was studied during one of the cruises in 2003. Meiofauna abundance ranged from 487.4 to 1655.3 individuals per 10 cm². Nematodes and harpacticoid copepods were the two most dominant groups, contributing 73.8–92.8% and 3.5–18.7%, respectively, to the total meiofauna abundance. One-way ANOVA showed no significant annual fluctuation of meiofauna and nematode abundances from 2000 to 2004 in the southern Yellow Sea. However, two-way ANOVA based on six stations sampled in 4 years (2001–2004) showed that there were significant differences among the six stations and the 4 sampling years for meiofauna, nematode and copepod abundance. Correlation analysis demonstrated that meiofauna abundance was mainly linked to chloroplastic pigments. Other environmental factors could not be ruled out, however. A total of 232 free-living marine nematode species, belonging to 149 genera, 35 families and 4 orders, were identified. The dominant species in the sampling area were the following: Dorylaimopsis rabalaisi, Microlaimus sp.1, Prochromadorella sp., Promonohystera sp., Cobbia sp.1, Daptonema sp.1, Leptolaimus sp.1, Halalaimus sp.2, Aegialoalaimus sp., Chromadorita sp., Parodontophora marina, Parasphaerolaimus paradoxus, Quadricoma sp.1, Campylaimus sp.1, Halalaimus gracilis, Paramesacanthion sp.1, Paramonohystera sp.1, and Metalinhomoeus longiseta. CLUSTER and SIMPROF analyses revealed three main types of nematode community (or station groups) in the sampling area, including I: coastal community, II: transitory community between coastal and YSCWM (Yellow Sea Cold Water Mass), and III: YSCWM community. Each community was indicated by a number of dominant nematode species. Bio-Env correlation analysis between the nematode community and environmental variables showed that water depth, sediment water content, organic matter, chlorophyll a (Chl-a) and phaeophorbide a (Pha-a) were the most important factors to determine the community structure.