利用TM合成图像研究滨海平原城市东营市的时空扩展

利用遥感 (RS)与地理信息系统 (GIS)一体化技术 ,对黄河三角洲上的新兴城市——东营市的城市时空扩展进行动态监测。并在地物光谱研究的基础上 ,提出了适合于近海平原地区的遥感波段组合 (TM- R5 G3B1)和本区内最易于识别城镇、居民地的波段组合 TM- R5 G7B4 (7月 )、TM-R3G4 B2 (10月 )和 TM- R5 G2 B4 (5月 )。结果表明 ,东营市自 1983年建市以来 ,迅速向东发展 ,由一块城区扩展为东城、西城并立。国家的政策和规划、石油工业的发展是东营城区迅速扩展的驱动力。     

不同光照条件下海带体内各种化合物的含量及光合作用和呼吸作用的变化

实验检测了不同光照条件1200，600，01x下，海带体内多酚类化合物、可溶性糖、可溶性蛋白、叶绿素a、类胡萝卜素等的含量及其光合作用和呼吸作用的变化。实验结果表明，随着光照强度的减弱，海带体内多酚类化合物、可溶性糖、可溶性蛋白等的含量及其光合作用和呼吸作用均呈现下降的趋势，而叶绿素a和类胡萝卜素的含量则呈现出上升的趋势。     

基于GIS数据仓库的激光单分子海洋油气化探数据可视化处理

采用基于地理信息系统(GIS)的数据仓库技术,以激光单分子海洋油气化探数据处理与评价作为数据仓库主题,实现了激光单分子海洋油气化探数据的可视化处理。将可视化处理分为4个步骤:数据预处理、异常背景分析、异常分析、异常综合评价;使用MAPX、DELPHI等软件研制开发了相应的可视化软件模块。通过对渤海湾盆地某测区实测的甲苯化探数据的处理,验证了所开发技术的实用性。     

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。     

龙须菜和扁江篱多糖的组成及其抗肿瘤效果

于１９８５－１９８７年期间用冷水和热水对采集于青岛的龙须菜和扁江篱的琼胶型多糖进行提取。两海藻的热水提取多糖都通过ＤＥＡＥ－ＳｅｐｈａｄｅｘＡ５０色谱桩用热水和不同浓度ＮａＣｌ深液前后进行洗脱分级。龙须菜和扁江篱多糖的主要级分分别为０．５ｍｏｌ／Ｌ和１．０ｍｏｌ／ＬＮａＣｌ洗脱级分。对各级分做化学分析及ＩＲ和＾１３ＣＮＭＲ光谱分析。结果表明，龙须菜多糖由琼二糖、琼胶糖前体和６－ＯＣＨ３－琼二糖组成     

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。     

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。     

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.