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.     

冬季东中国海环流中的中尺度涡旋数值模拟

采用高精度的POM模式 ,考虑了海底地形、外来流、长江径流、海面风应力、海面热通量等多方面因素的影响 ,模拟了冬季东中国海环流结构。模拟结果显示 :在黄海东部很可能存在两个涡 ,中心分别在124°37′E ,37°N ,124°E ,35°30′N ;东海北部存在一个大型的气旋式涡旋 ,其中心位置在125.1°E ,30.5°N附近 ,该涡旋是由东北向的台湾暖流、西北向的黄海暖流及南下的沿岸流组成的封闭结构 ;日本九州以西黑潮入侵分支形成一涡旋 ,黑潮分支是形成此涡旋的直接动力因素 ,另外地形和冬季盛行的偏北风也对该涡旋的形成有一定正面影响。     

REE distribution in water-sediment interface system at deep ocean floor

ＲＥＥｄｉｓｔｒｉｂｕｔｉｏｎｉｎｗａｔｅｒ－ｓｅｄｉｍｅｎｔｉｎｔｅｒｆａｃｅｓｙｓｔｅｍａｔｄｅｅｐｏｃｅａｎｆｌｏｏｒ￥ＺｈａｎｇＬｉｊｉｅ；ＬｉｕＪｉｈｕａａｎｄＹａｏＤｅ（ＲｅｃｅｉｖｅｄＦｅｂｒｕａｒｙ１，１９９４；ａｃｃｅｐｔｅｄＭａｙ...     

南极海冰与西北太平洋台风

本文利用最大熵谱分别计算了南极４个区海冰和西北太平洋台风发生频数的变化周期，并对前３年的南极海冰强弱和当年的台风发生频率数进行了逐月时间序列相关分析。     

Nanoplanktonic assemblages in the upwelling area off Concepción (∼36°S), central Chile: Abundance, biomass, and grazing potential during the annual cycle

The structure and functioning of nanoplanktonic assemblages in coastal upwelling areas have usually been overlooked in explorations of the productivity of these areas. As part of a multidisciplinary, time-series station in the coastal area off Concepción, seasonal variations (upwelling and non-upwelling) in the abundance and biomass of these assemblages were investigated. Hydrographic measurements and biological samples were taken monthly over a 2-year period (18 August 2004-28 July 2006). Nanoflagellates dominated the total integrated abundance (3-317 × 10⁹ cells m⁻²; 0-80 m). Diatoms and dinoflagellates usually contributed to a lesser degree (<20%) but sporadically made important contributions to the total integrated nanoplankton biomass (0.02-10.6 g C m⁻²). Most of the nanoplankton was concentrated in surface waters (<30 m) during all the samplings and no seasonal differences in abundance or biomass were found in this layer, although the mean values and dispersions around them were highest during the upwelling period along with maximum integrated (0-80 m) chlorophyll-a values, as total or in the <20 μm fraction. Changes in nanoplankton abundance were significantly but weakly (r < 0.4) correlated with changes in the hydrographic variables; the highest correlation values were positive for temperature and oxygen, factors that varied with depth and date. The potential grazing rates of heterotrophic nano-predators (flagellates and dinoflagellates) on prokaryotic prey, estimated with a generic model, ranged from 3 to 242 bacterioplankton predator⁻¹ h⁻¹ and from 0.1 to 14 cyanobacteria predator⁻¹ h⁻¹. Our results imply a small impact of seasonal hydrographic variability on the abundance and biomass of nanoplanktonic assemblages and suggest that grazing by nanoheterotrophs might control the prokaryotic picoplankton populations in the upwelling area off Concepción.     

长江口南支潮流的一个数值模拟

为了能够精确地拟合天然水域不规则的水陆边界,并能保持有限差分数值计算在矩形网格中进行,本文利用Thompson的数值网格生成技术,在长江口南支七丫口至横沙河段设计了一个椭圆型边界拟合坐标系,并在这个坐标系下建立了平面二维潮流数学模型。通过数值求解此数学模型,实现了计算区域内现状潮流的一个数值模拟,模拟结果表明,模式的设计是成功的。     

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。     

我国海水制盐工艺改革的设计研究

从技术上和工艺上的可能性、可行性和合理性，论证了海水制盐工艺改革的必要性，并且提出了实现海水制盐工艺改革的各种设计方案。它对我国的海水制盐工业的发展将具有深远意义。     

黄海测区空气微生物含量估计

本文对黄海测区空气微生物作了一次测定 ,结果表明空气中海洋性细菌、真菌的检出率分别为 52 .4 %和 4 7.6 %。陆源性细菌、真菌的检出率分别为80 .0 %和 6 0 .0 %。陆源性微生物出现机率大于海洋性的。空气微生物以细菌为主。测区平均的海洋性空气细菌、真菌、总菌量及真菌 /总菌 %分别为 592 .6 ,32 9.1 ,92 1 .7CFU·m-3 及 35.4。平均的陆源性空气细菌、真菌、总菌量及真菌 /总菌 %分别为 6 89.1、377.9、1 0 6 7.0CFU·m-3 及 35.7。文章分析了空气微生物的时空分布状态。指出测区空气微生物状态反映了海 -气、海 -陆、人和自然的相互作用。     

Microbial Biomass and Organic Nutrients in the Deep-Sea Sediments of the Central Indian Ocean Basin

In order to assess the impact of deep-sea mining on the in situ benthic life, we measured the microbial standing stock and concentration of organic nutrients in the deep-sea sediments of the Central Indian Ocean Basin in the Indian pioneer area. Sediments were collected using box core and grab samples during September 1996. The total bacterial numbers ranged from 10 10 -10 11 cells per g -1 dry weight sediment. There was a marginal decrease in the number of bacteria from surface to 30 cm depth, though the subsurface section registered a higher number than did the surface. The highest numbers were encountered at depths of 4-8 cm. The retrievable number of bacteria were two orders less in comparison with the direct total counts of bacteria. An almost homogeneous distribution of bacteria, total organic carbon, living biomass, and lipids throughout the depth of cores indicates active microbial and benthic processes in the deep sea sediments. On the other hand, a uniform distribution of total counts of bacteria, carbohydrates, and total organic carbon in all the cores indicates their stable nature and suggests that they can serve as useful parameters for long-term monitoring of the area after the benthic disturbance. Further studies on temporal variability in this region would not only verify the observed norms of distribution of these variables but would also help to understand restabilization processes after the simulated benthic disturbance.