Shoreline variability via empirical orthogonal function analysis: Part I temporal and spatial characteristics

Empirical orthogonal functions (EOFs) or principal components were used to extract the significant modes of shoreline variability from several data sets collected at three very different locations. Although EOFs have proven to be a valuable tool in the analysis of nearshore data, most applications have focused on the ability of the technique to describe cross-shore or profile variability. Here however, EOFs were used to help identify the dominant modes of longshore shoreline variability at Duck, North Carolina, the Gold Coast, Australia, and at several locations within the Columbia River Littoral Cell in the U.S. Pacific Northwest. In part one of this analysis, characteristic patterns of shoreline variability identified by the EOF analysis are described in detail. At each site, the dominant modes consisting of the first four eigenfunctions were found to describe nearly 95% of the total shoreline variability. At both Duck and the Gold Coast, several interesting longshore periodic features suggestive of sand waves were identified, while boundary effects related to natural headlands and navigational structures/entrances dominated the Pacific Northwest data sets.     

On the Polyps of the Common Jellyfish Aurelia aurita in Kagoshima Bay

There is the natural habitat of polyps of the common jellyfish Aurelia aurita in the Taniyama area, Kagoshima Bay. We examined the attachment substrata, density, colony structure and strobilation of the polyps. The polyps were observed only on the horizontal undersurface of floating piers. They attached specifically to Mytilus shells, solitary ascidians, calcareous polychaete tubes, muddy amphipod tubes and the gap space that fouling animals peeled off the substrata. The polyp colonies were distributed in patches. Spatial distribution patterns of the polyps within their colonies were uniform. Strobilation occurred during late December to March, when water temperatures were 16–17°C, and a large number of ephyrae were released. An increase in man-made structures such as floating piers in coastal areas may lead to bloomings of Aurelia aurita medusae. This revised version was published online in July 2006 with corrections to the Cover Date.     

黄海表层盐度年变化的谐波分析

本文采用黄海（３５°Ｎ以北，１２４°Ｅ以西）断面调查资料，对海域表层盐度年变化进行谐波分析，讨论了年波与半年波位相与振幅在海区的分 布不同水系消长及运动的关系。     

山东半岛东部,北部地区冬季冷流低云的探讨

本文主要对山东半岛东部、北部及渤海海峡地区的地方性天气－冷流低云，作了初步的分析。着重分析产生这种低云的环流特点及殊地理环境，分析归纳出这种低云的预测方法及判据。     

西太平洋暖池区热带波动的天气效应

为了探讨西太平洋暧地区热带波动的天气效应，利用1980年2－9月140°E日本静止卫星纬度时间剖面卫星云图，分析了5d和14d左右周期热带波动云的演变特征，井综合分析了14d周期的云系演变型式与流场的关系，为预报热带中期天气变化规律提供了依据；热带波动中30－60d大气低频振荡的云量变化最显著，北半球夏半年热带波动的天气压主要在10°N－0°，各半年在10°N－10°S，超过这个区域热带云量的港分布型式就有明显的变化。     

A study of Coriolis effects on long waves propagating in an unbounded ocean, channel and basin

The effects of Coriolis force on long waves have been discussed based on gravity waves propagating in an unbounded ocean, channel and basin. In case of ocean, results show that the Coriolis effect will be significant and negligible, when the wave period is comparable to 2π/f and much shorter, respectively. Results also show in a channel, the wave amplitude and water particle velocity decrease exponentially in the positive y direction in the northern hemisphere (where f is positive). Moreover, in a basin, the Cotidal lines have been found as curves and rotate counterclockwise around the origin.     

济州岛附近海域表层沉积物中的颗石及其古海洋学

对济州岛附近海域表层沉积物中的颗石进行研究,共发现40个种。根据对颗石进行多元统计分析的结果,可将本区划为两个环境区、两个颗石组合。提出海流是控制本区颗石分布的主要因素。     

柴达木盆地新构造运动主要特征与成因机制

研究表明，在壳幔结构、地球物理背景、沉积物结构、多层关地幔和构造样式等方面，达木盆地与中国东部新生代裂谷类伸展盆地具有可比性，应该归属 展性盆 。盆地伸展和收缩作用相间进行，伸展起因于地幔底辟；而收缩受两人因素影响；（１）盆地伸展作用受相邻造山带反作用诱导的挤压应力；（２）板块碰撞传递的远程板内应力。在此基础邮新的构造期达木盆地演化的“双层模式”，即地幔上隆－地壳伸展；被动挤压＋板内应力－地壳收缩     

酵母菌支序分类研究

本文应用支序分类法(Cladistics)对16个属的酵母进行了系统演化研究,酵母菌的分类已有多年历史,但由于形态差异很大,所以在分类上一直存在着不同的看法,亦即存在着不同的分类体系。本文研究的隐球酵母等七个属在分类地位上也有争议,有的学者认为应属于子囊菌纲,有的学者认为应属于半知菌类。本文应用支序分类方法,通过诸多遗传性状的综合系统分析,认为上述7个属的酵母从系统进化和亲缘关系上,应该与子囊菌酵母同属一个发育系统,是与子囊菌酵母平行发展的一类酵母。     

我国东部邻海恶劣天气的时空分布及其成因初探

本文利用1930～1979年NCDC海洋船舶观测的气象资料,分析了中国东部邻海恶劣天气的时空分布。结果表明,海区恶劣天气的分布在冬季和夏季是不同的;在东北和西南季风期间,台湾东北和西南海区也有差异。影响恶劣天气条件的分布因子非常复杂,主要是季风和极锋、天气系统、冷暖洋流及地形等因子。