莱州湾温带风暴潮预报研究

本文依据莱州湾羊角沟、夏营两站建国以来的风暴增水资料，对莱州湾建国后发生的风暴潮进行了统计分析，并探讨了温带风暴潮产生的物理机制，此外还对莱州湾温带风暴增水以及诱发增水的天气形势进行了分析分类。在此基础上建立了莱州湾温带风暴潮统计预报方法，并在作业预报中对模型进行了检验，取得较为理想的效果。     

Argo-认识和预测气候变化的全球海洋观测计划

1　全球海洋观测网 (Argo)为了解全球气候的变化 ,海洋学界正在做一项雄心勃勃的事业 ,即设计并部署一个全球海洋观测系统 ,以便对海洋从季节到十年间的变化作前所未有的长期跟踪观测。这项计划的实施 ,将使人类对气候的认识和预测向前迈出一大步。全球海洋观测系统的现场支柱就是 Argo剖面浮标网 ,将为人类提供一个全球海洋次表层数据库。Argo剖面浮标观测网将由 3 0 0 0个自动仪器组成 (图 1 ) ,每个浮标每隔 1 0天发送一组取自 2 0 0 0 m到海面的温度和盐度剖面资料 (图 2、3 )。在全球大洋内每隔大约 3个经纬度布设一个浮标 ,其数据通…     

冬至初春黄海暖流的路径和起源

主要根据近几年来中韩黄海水循环动力学合作调查结果,结合有关观测资料,进一步分析了冬至初春黄海暖流的路径和起源.与以往类似研究不同的主要有两点:(1)初步探讨了黄海暖流路径的季节和年际变异,并指出这种变异与北向风的强弱密切相关;(2)通过分析济州岛西侧海域混合水的去向,进一步确认了部分混合水绕济州岛运行,并进入济州海峡这一事实.同时,初步揭示进入黄海的混合水,即黄海暖流水,含有更多的东海陆架水成分.     

浙江岱衢洋大黄鱼 Pseudosciaena crocea (Richardson) 个体生殖力的研究

种群的补充、生长和死亡是决定种群数量及其变动类型的三个相互联系过程。要阐明种群补充过程的基本理律,就必须对它的各个环节加以深入的研究。生殖力的变动及其调节规律就是补充过程的最主要环节之一。 从1958年秋季开始,我们进行了大黄鱼生殖力种内规律的研究。本文是其中的一个组成部分,在于研究浙江舟山渔场岱衢洋产卵场的春宗与秋宗大黄鱼的个体生植力变动规律,着重阐明一个种群内个体生殖力的变动与调节规律及其影响因子,探讨同一地理种群的不同生物学宗个体生殖力变动规律的差异及其适应意义o 春宗大黄鱼共观察分析了304尾;秋宗大黄鱼由于取样不易,仅观察分析了41尾。所据以观察分析的资料均系未出现透明和游离状卵子的典型IV期卵巢。卵子的计数是采用重量取样法,取样重为0.2-0.3克。卵巢采用5%福尔马林液固定保存,称重前几天移入80%酒精中,这样可以减少因水分重量所产生的误差。取样时先除去卵巢外膜井取卵巢中部卵子作为计数样品。凡是开始累积卵黄颗粒的小型卵子到半充满与完全充满卵黄的中型及大型卵子都进行计算,卵径范围为0.16一0.99毫米。     

舟山渔场及其邻近海域水团的季节特征

根据2001年夏季和2002年冬季两次现场调查所收集的CTD和营养盐资料,利用模糊聚类分析法,对舟山渔场及其邻近海域水团的季节特征进行了分析.结果表明,舟山渔场及其邻近海域水团的配置、分布范围、温盐特性和营养盐含量都有明显的季节特征.其中,冬季在全海域共有3个水团(江浙沿岸水、台湾暖流表层水和黄海混合水),而夏季则存在4个水团(江浙沿岸水、台湾暖流表层水、台湾暖流深层水和黄海混合水);冬季,江浙沿岸水的分布范围较小,温度偏低,盐度略高,营养盐偏高,而夏季,其分布范围较大,温度偏高,盐度偏低,营养盐偏低;冬季,台湾暖流表层水北伸最强,厚度最厚,温度最低,盐度最高,硅酸盐和硝酸盐偏高,而夏季,则北伸最弱,厚度最薄,温度最高,盐度最低,硅酸盐和硝酸盐偏低;台湾暖流深层水是一个季节性水团,它含有较丰富的营养盐;黄海混合水的分布范围和营养盐含量也都呈现出明显的季节特征.     

中国海洋生物地球化学过程研究的最新进展

海洋是全球生态系统的重要组成部分,在地球系统中,其与大气、陆地紧密联系在一起,在调节全球气候等方面发挥着举足轻重的作用。全球变化引起的海洋变化十分明显,现在已经能够观测到海洋的大尺度物理、化学和生物特征的变化,其中海洋食物链结构、海岸带富营养化和珊瑚礁退化最为     

乳糖诱导重组别藻蓝蛋白(rAPC)在大肠杆菌(Escherichia coli)中的表达

采用廉价的乳糖替代IPTG诱导重组别藻蓝蛋白(rAPC)在大肠杆菌(Escherichiacoli)JM109中表达,对诱导产物表达的培养基、培养条件、诱导剂的浓度和诱导时机进行了优化,将优化条件用于5L自控发酵罐进行高密度培养。结果表明,对rAPC表达的条件进行优化后,乳糖诱导rAPC的表达率可达26.8%,与IPTG的诱导结果接近;在高密度培养中,OD600最大达21.8。研究结果可为乳糖替代IPTG大规模生产rAPC奠定基础。     

Seasonality and interannual variability of freshwater inflow to a large oligohaline estuary in the Northern Gulf of Mexico

Quantity, timing, duration, and fluctuation of freshwater inflow are important factors affecting the development and health of aquatic and adjacent wetland ecosystems in coastal estuaries. This study assessed six decades of freshwater inflow from the Amite River, Tickfaw River, and Tangipahoa River watersheds to Lake Pontchartrain, a large oligohaline estuary in the Northern Gulf of Mexico, whose flood waters caused recent damage to the city of New Orleans in the aftermath of Hurricane Katrina. By utilizing the long-term (1940–2002) river discharge and climatic data from the three major tributary watersheds, monthly and annual freshwater inflows have been quantified and their spatial and temporal variations have been analyzed. On average, the three rivers discharged (±standard error) 0.27 ± 0.04 km³ freshwater monthly and 3.29 ± 0.15 km³ freshwater annually into the lake estuarine system, with the highest inflow from the Amite River (0.16 ± 0.03 m³ mon⁻¹, and 1.91 ± 0.09 km³ yr⁻¹) and the lowest inflow from the Tickfaw River (0.03 ± 0.00 km³ mon⁻¹, and 0.34 ± 0.02 km³ yr⁻¹). A distinct seasonality was evident with over 69% of the total annual inflow occurring during December and May (wet months) and with a low flow period from August to November (dry months). The monthly inflow during the wet months was positively correlated with the monthly precipitation (r² = 0.64), while the monthly inflow during the dry months was subject to evapotranspiration. Furthermore, the study found a 20-year low flow period from 1954–1973 (2.76 ± 0.24 km³ yr⁻¹) and a 24-year high flow period from 1975–1998 (3.84 ± 0.24 km³ yr⁻¹), coinciding with both the climate variation and population growth in the watersheds.     

天然感潮河道水流紊动特性分析

采用多谱勒三相流速仪，在长江口徐六泾水文观测断面分别进行了涨潮、落潮时中泓与近岸垂线的流速观测，根据这些观测资料，对天然感潮河段潮流紊动的周期、频率、概率密度函数等进行了定量的数学描述，并对时均流速、紊动强度、雷诺应力等沿垂线分布进行了分析计算。     

装载GPCTD传感器的海翼水下滑翔机观测数据实时质量控制

Profiles observed by Sea-Wing underwater gliders are widely applied in scientific research. However, the quality control(QC) of these data has received little attention. The mismatch between the temperature probe and conductivity cell response times generates erroneous salinities, especially across a strong thermocline. A sensor drift may occur owing to biofouling and biocide leakage into the conductivity cell when a glider has operated for several months. It is therefore critical to design a mature real-time QC procedure and develop a toolbox for the QC of Sea-Wing glider data. On the basis of temperature and salinity profiles observed by several Sea-Wing gliders each installed with a Sea-Bird Glider Payload CTD sensor, a real-time QC method including a thermal lag correction, Argo-equivalent real-time QC tests, and a simple post-processing procedure is proposed. The method can also be adopted for Petrel gliders.