Distribution patterns of chlorophyll <Emphasis Type="Italic">a</Emphasis> in spring and autumn in association with hydrological features in the southern Yellow Sea and northern East China Sea

Two field studies were conducted to measure pigments in the Southern Yellow Sea (SYS) and the northern East China Sea (NECS) in April (spring) and September (autumn) to evaluate the distribution pattern of phytoplankton stock (Chl a concentration) and the impact of hydrological features such as water mass, mixing and tidal front on these patterns. The results indicated that the Chl a concentration was 2.43±2.64 (Mean ± SD) mg m^?3 in April (range, 0.35 to 17.02 mg m^?3) and 1.75±3.10 mg m^?3 in September (from 0.07 to 36.54 mg m^?3) in 2003. Additionally, four areas with higher Chl a concentrations were observed in the surface water in April, while two were observed in September, and these areas were located within or near the point at which different water masses converged (temperature front area). The distribution pattern of Chl a was generally consistent between onshore and offshore stations at different depths in April and September. Specifically, higher Chl a concentrations were observed along the coastal line in September, which consisted of a mixing area and a tidal front area, although the distributional pattern of Chl a concentrations varied along transects in April. The maximum Chl a concentration at each station was observed in the surface and subsurface layer (0–10 m) for onshore stations and the thermocline layer (10–30 m) for offshore stations in September, while the greatest concentrations were generally observed in surface and subsurface water (0–10 m) in April. The formation of the Chl a distributional pattern in the SYS and NECS and its relationship with possible influencing factors is also discussed. Although physical forces had a close relationship with Chl a distribution, more data are required to clearly and comprehensively elucidate the spatial pattern dynamics of Chl a in the SYS and NECS.     

利用双阳台水管观测资料检测地球自由振荡

基于双阳台水管倾斜仪的数字化观测资料,利用功率谱密度估计方法,在没有对资料进行去固体潮处理的情况下,准确获得了2004年12月26日苏门答腊大地震激发的0S3～0S31基频球型自由振荡。并与PREM模型的理论自由振荡周期进行了对比,发现实测振荡周期与PREM预测的振荡周期相吻合,除0S3、0S4振型的观测周期和PREM模型理论周期的相对误差大于0.3%外,其他振型的观测周期和PREM模型理论周期的相对误差大都集中在0.1%左右。同时还检测到了5个谐频球型振荡和8个环型振荡。     

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长石莼(缘管浒苔)(Ulva linza)rbcL全长基因的克隆与序列分析

克隆分离了长石莼(缘管浒苔)光合作用第一关键酶Rubisco大亚基全长基因(rbcL)。首先应用PCR和RT-PCR方法扩增rbcL大片段DNA序列和大片段cDNA序列,结果表明,获得的2个克隆序列完全相同,该rbcL大片段基因不存在内含子。其次应用基因步移方法分别对rbcL基因的5′上游未知序列和3′下游未知序列进行扩增,在此基础上,将3个片段序列进行拼接,获得了rbcL全长基因序列(NCBI登陆号:DQ813497)。序列全长2124bp,其中编码区序列长1425bp,为单外显子基因,编码474个氨基酸;5′非翻译区序列长225bp,转录起始位点为位于翻译起始密码子ATG上游第47个核苷酸G,在距离转录起始位点-9bp—-48bp的范围内有推测的类似原核生物的启动子序列(-10区:TAAAAT、-35区:TTGAAA);3′非翻译区序列长474bp,在距离转译终止密码子TAA下游54—98bp处有一段较长的回文序列,可形成一个22bp的茎结构。密码子偏好性分析结果表明,长石莼(缘管浒苔)rbcL基因偏向使用第三位核苷酸碱基为A和T的密码子。     

冲绳海槽海底地形的补偿模式初步研究

从区域补偿模式和实验均衡理论出发,利用重力和地形资料计算了冲绳海槽的均衡响应函数,结果表明：冲绳海槽南段弹性板有效厚度和补偿深度明显大于中段,结合其它地质地球物理资料解释认为,产生这种差异的原因主要是南,中两段岩石圈温度和补偿机制的不同所致。     

El Nio/La Nia过程影响因子的模糊诊断分析

基于模糊系统理论，讨论了从实测信号中滤除特定干扰噪音的途径和过程，研究了从观测资料中辩识El Nino／La Nina主要影响因子的诊断检测方法。结果表明，由于模糊系统具有非线性、容错性和自适应学习等特性，因此能够比较有效地辨认和检测出El Nino／La Nina事件的主要影响因子，并大致分析出它们对不同El Nino／La Nina事件的影响程度和贡献大小。     

珠江黄茅海河口洪季侧向余环流与泥沙输移

2012年洪季对珠江黄茅海河口湾侧向动力结构与泥沙输移过程进行了系统观测,采用动量平衡和泥沙通量机制分解等方法,分析了河口流、温盐和泥沙侧向分布特征以及泥沙输移过程,探讨了侧向动量平衡与泥沙输移机制。洪季黄茅海河口存在明显的侧向流,西滩和北槽均形成表层向东、底层向西的两层侧向流,拦门沙滩顶呈现表、底层向西、中层向东的三层侧向流,而拦门沙前缘侧向流整体向西。河口湾纵向净泥沙通量表现为北槽向海、西滩向陆,拦门沙滩顶及其前缘均向海;侧向净泥沙通量表现为滩顶及其前缘均向西,西滩向东、北槽向西。这种侧向泥沙辐聚过程是高浓度悬沙聚集于滩槽界面的重要原因,向陆净通量是西滩回淤的重要原因。滩槽间侧向余环流动量平衡主要是侧向斜压梯度力、科氏力和侧向平流作用。欧拉平流输运在侧向泥沙输运中起主要作用,潮泵效应也起重要作用。     

黄河口及其邻近水域强壮箭虫密度的时空分布及其与环境因子的关系

为探究强壮箭虫（Sagitta crassa）在黄河口及其邻近水域的时空分布特征及其与生物和非生物环境等因子的关系,本文依据2013—2014年在黄河口及其邻近水域6个航次的调查数据,采用丛生指标（I）、聚块性指标（A）和负二项分布参数的倒数（C_A）等聚集指标,分析了强壮箭虫的空间分布特征;应用广义可加模型（GAM）研究了强壮箭虫密度的时空分布和环境因子的关系。结果表明,黄河口及其邻近水域强壮箭虫平均密度为21.85 ind/m3,春、秋季高,冬、夏季低;其密度的空间分布以黄河入海口附近水域为密集中心,向远岸水域逐渐降低;强壮箭虫在黄河口及其邻近水域的聚集特征随密度的变化存在两次聚集和两次扩散;水深、表层水温和浮游桡足类密度是影响其密度时空分布的主要因子,总偏差解释率为55.11%,强壮箭虫密度随水深的增加而减小,随表层水温的升高先增加后减小,随桡足类密度的增加而增加。强壮箭虫密度受黄河口及其邻近水域环境因子变动的影响,具有明显的季节变化和空间分布规律。