渤海区域地质信息管理系统数据库设计方案

数据库是GIS的基础。以渤海区域地质信息管理系统数据库为例，阐述了基于GIS的海洋地学管理信息系统中数据库的组织方法，及所包括空间数据库与属性数据库数据分类、分层方案，命名及编码规则，以及二者之间的联接。     

新生相形成的模拟实验研究

通过模拟实验制备了硅酸盐类不溶性固体，从Ｘ射线衍射特征和红外光谱特征两方面看，制得的硅酸盐类与河口新生相成分，结构相似，表明铁水解成的β－ＦｅＯＯＨ胶体吸附Ｓｉ，Ａｌ，Ｍｇ，Ｋ等元素，经结构重组可形成硅酸盐矿物，这可能是河口体系新生相的形成原因。     

1993—2001年全球海面高度变化特征

应用TOPEX／POSEIDON（T／P）卫星高度计测高资料，对全球海洋的海面变化特征进行了分析，结果表明，1993年1月－2001年6月期间，全球海平面呈现上升的态势；全球平均海平面高度的平均上升速率约为1．2mm/a；海温的变化是引起海平面变化的重要原因，便其对海平面抬升的贡献不到50％。海平面的变化具有很强的地域特征。海平面变化的空间分布特征受风应力异常特别是纬向风应力异常的空间分布影响较大。     

哀牢山-红河断裂带中段应变分析

对哀牢山—红河断裂带中段和平—水塘剖面、墨江—元江剖面和其它地段的岩石应变及磁组构进行了分析，表明应变强度的校正磁各向异性度PJ从断裂带向西至三叠系明显降低，变形强度向西迅速减弱。磁化率椭球体主轴展布反映出剪切带内、外变形方式的改变。剪切带内，以水平走滑运动为主；向西则以水平缩短为主。在应变分析中，对断裂带内的S—C组构两组面理夹角、杏仁体和石榴石应变标志体进行了测量，结果显示，剪切带内的磁组构和岩石组构间关系较差。此外，还对这两条剖面中的三叠系进行了应变和磁组构分析，找出了它们与磁化率椭球体对应轴率间的相关性。     

太平洋波高熵的分布变化规律研究

使用1992年IO月到1998年12月连续共75个月、230个重复周期的Topex／Poseidon卫星高度计有效波高资料，对南、北太平洋波高熵的空间分布特征和时间变化规律进行了研究。统计分析了太平洋波高熵的多年的空间分布特征和多年各月的时间变化规律。结果表明，太平洋波高熵呈现出中间低、南北高的马鞍形空间分布特征和明显季节变化的规律，与太平洋的平均有效波高和气候分布特征和变化规律相一致。给出了南北太平洋模拟波高熵的计算公式及计算稳定性检验。     

Species composition and spatial distribution of euphausiids of the yellow sea and relationships with environmental factors

We investigated species composition and spatial distribution of the euphausiid community in the Yellow Sea and identified the relationship with environmental factors (temperature, salinity, chlorophyll a, nitrate, phosphate, and silicate) using bimonthly data from June, 1997 to April, 1998. The environment varied during the sampling period. In warm seasons, thermocline was well developed rendering lower temperature and higher salinity and nutrient concentrations in the bottom layer. During cold seasons the water column was well mixed and no such vertical stratification was noted. Horizontal distribution of temperature, however, differed slightly between near-coast and offshore areas because of the shallow depth of the Yellow Sea, and between southern and northern areas because of the intrusion of water masses such as Yellow Sea Warm Current and Changjiang River Diluted Water. Four euphausiid species were identified:Euphausia pacifica, E. sanzoi, Pseudeuphausia sp. andStylocheron affine. E. sanzoi andS. affine were collected, just one juvenile each, from the southern area in June and December, respectively.Pseudeuphausia sp. were collected in the eastern area all the year round except June.E. pacifica occurred at the whole study area and were the predominant species, representing at least 97.6% of the euphausiid abundance. Further, the distribution pattern of the species was varied in regards to developmental stages (adult, furcilia, calyptopis, egg). From spring to fall,E. pacifica adults were abundant in the central area where the Yellow Sea Bottom Cold Water prevailed. Furcilia and calyptopis extended their distribution into nearly all the study area during the same period. From late fall to winter, adults were found at the near-coastal area with similar pattern for furcilia and calyptopis. The distribution pattern ofE. pacifica was consistent regarding temperature, salinity, and three nutrients during the sampling period, whereas chlorophyll a showed a different pattern according to the developmental stages. The nutrients should indirectly affect via chlorophyll a and phytoplankton concentration. With respect to these results, we presented a scenario about how the environmental factors along with the water current affect the distribution ofE. pacifica in the Yellow Sea.     

“916”低聚糖抗卵磷脂氧化活性的研究

作者采用自由基引发氧化模型。通过测定卵磷脂氢过氧化物 ( PCOOH) ,研究了“916”低聚糖对卵磷脂 ( PC)氧化的抑制作用。实验结果表明 :( 1)“916”低聚糖具有良好的抗氧化活性 ;( 2 )各低聚糖在质量相同和含硫量大致相同的条件下 ,总体上分子量越小抗氧化活性越高。     

粤西湛江港海底沉积物重金属的分布特征与来源

2004年9月23日至10月5日对湛江港海洋沉积物中金属元素的含量及分布进行了调查。共采集样品20个,采用王水-氢氟酸消解,电感耦合等离子体发射光谱法测定样品中的金属元素As、Cd、Co、Cr、Cu、Ni、Pb、Zn、Al、Ca、Fe、Mg和Mn。结果发现,湛江港大多数区域的沉积物未受污染,但霞山区港务局码头附近海域受到Cd、Cu和Pb的轻度污染,特呈岛养殖区也受到Cu的轻度污染。主成分分析结果表明,Al、Cd、Co、Cr、Cu、Fe、Ni、Pb和Zn主要通过陆源输入进入近岸水域的沉积相中,Ca、As、Mg和Mn主要通过海洋环境中水相和沉积相的相互作用进入沉积相中。结合其它调查结果认为,湛江港的Cd污染在水相、沉积相和生物相中均已存在,应引起有关部门的高度重视。     

基于AHP法和灰色模式识别理论的海底管道系统路由定量风险评估

根据海底管道路由潜在风险的特点及风险类型,提出了一种将层次分析法（AHP法）和灰色模式识别理论相结合的海底管道系统路由定量风险评估方法,该方法利用AHP确定风险评价指标体系,运用灰色模式识别理论,建立识别结果标准,并结合实际工程进行计算,计算结果表明该方法是可行的.     

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.