A preliminary study of variations of the Changjiang Diluted Water between August of 1999 and 2006

A large area hypoxia has been already reported respectively by two interdisciplinary surveys off the Changjiang Estuary since summer of 1999 and 2006. The hypoxic zone shows distinct year-to-year variations. Observed oceanographic data are first analysized and reveal a big difference for the Changjiang Diluted Water (CDW) between these two periods. These great changes are related to the tremendous reduction of the freshwater discharge and variations of wind fields between these two years. It is also found that the monthly mean intrusion of Kuroshio and its branches has increased in the northern East China Sea (ECS), but decreased in the southern ECS in August of 2006 as compared with 1999 on the base of general circulation models. Then, the Regional Ocean Modelling Systems is applied to the East China Sea to evaluate the contributions and relative importance of impacts from the river discharge, wind forcing and open boundary data. Our simulations reproduce the phenomena that more fresh water extends northeastward in 2006 and forms a negative SSS anomaly to the northeast of the river mouth as compared with 1999, which is consistent with observations. The five group numerical tests suggest that the wind forcing dominates the CDW variations followed by the Kuroshio and its branches. The study implies important roles played by hydrodynamic processes on the variability of hypoxic zone in the study areas.     

Perturbed solution of sea-air oscillator for the E1 Ni(n)o/La Ni(n)a-Southern Oscillation mechanism

A class of coupled system of the E1 Ni(n)o/La Ni(n)a-Southern Oscillation (ENSO) mechanism is studied. Using the perturbed theory, the asymptotic expansions of the solution for ENSO model are obtained and the asymptotic behavior of solution for corresponding problem is considered.     

Adaptive Predictive Inverse Control of Offshore Jacket Platform Based on Rough Neural Network

The offshore jacket platform is a complex and time-varying nonlinear system,which can be excited of harmful vibration by external loads.It is difficult to obtain an ideal control performance for passive control methods or traditional active control methods based on accurate mathematic model.In this paper,an adaptive inverse control method is proposed on the basis of novel rough neural networks (RNN) to control the harmful vibration of the offshore jacket platform,and the offshore jacket platform model is established by dynamic stiffness matrix (DSM) method.Benefited from the nonlinear processing ability of the neural networks and data interpretation ability of the rough set theory,RNN is utilized to identify the predictive inverse model of the offshore jacket platform system.Then the identified model is used as the adaptive predictive inverse controller to control the harmful vibration caused by wave and wind loads,and to deal with the delay problem caused by signal transmission in the control process.The numerical results show that the constructed novel RNN has advantages such as clear structure,fast training speed and strong error-tolerance ability,and the proposed method based on RNN can effectively control the harmfid vibration of the offshore jacket platform.     

Report of Prionospio complex (Annelida: Polychaeta: Spionidae) from China's waters, with description of a new species

Nine species of Prionospio complex are recorded from China’s waters, including one new species and six newly recorded species. Prionospio (Prionospio) pacifica sp. nov., is characterized by having first and forth pairs of branchiae pinnate, second and third pairs of apinnate, ventral crest on Setiger 9 and dorsal crests on Setigers 10—25. Apoprionospio kirrae (Wilson, 1990), Prionospio (Aquilaspio) convexa Imajima, 1990, Prionospio (Minuspio) multibranchiata Berkeley, 1927, Prionospio (Prionospio) bocki Sderstrm, 1920, Prionospio (Prionospio) dubia Maciolek, 1985 and Prionospio (Prionospio) paradisea Imajima, 1990 are recorded for the first time from China’s waters.     

海洋毒素大田软海绵酸完全抗原的制备与分析

为了建立大田软海绵酸(Okadaic acid,0A)的免疫学检测方法,利用活泼酯法将OA分子中的羧基与栽体蛋白上的氨基偶联,人工制备OA的免疫抗原(OA-IgG)和检测抗原(OA-BSA),经电泳、动物实验及ELISA法进行了鉴定,完全抗原的偶联成功,为利用杂交瘤技术制备OA的单克隆抗体和海产品OA免疫学检测方法奠定了良好的基础.     

珠江口淇澳岛海岸带反硝化作用研究

采用N2通量法,在一套连续流动培养装置中测定珠江口淇澳岛海岸带的反硝化速率,探讨各种因素对淇澳岛海岸带反硝化速率的影响.结果表明,反硝化速率受NO3-的利用率影响,而不是NO3-的绝对浓度.大型红树植物对淇澳岛海岸带的反硝化速率影响最大,其次是硝酸盐利用率,而有机质含量的影响较小.由于大型红树植物的影响,样品Q0411-5的反硝化速率比同在岛内的Q0411-3高出1倍.样品Q0412-14的NO3-培养前后的浓度变化(△NO3-)是Q0412-9的4倍多,因为受硝酸盐利用率的影响,它的反硝化速率却是Q0412-9的2倍多.温度对反硝化速率的影响程度尚不能确定.     

改进型经验正交函数海洋声速剖面预报方法

鉴于深海温跃层以下往往声速值缺乏,声速剖面不完整的原因,提出一种声速剖面的预报方法:在传统经验正交函数预报法基础上,首先改进协方差矩阵的求解方法,将原始数据的空间信息和时间信息有效地融合到协方差矩阵中,通过由大量实测数据统计得出的时间函数的经验公式,得到合成剖面,将二者结合,把不完整剖面垂直向下延拓到海底,较为有效地解决了传统方法求解协方差矩阵和时间函数较粗糙的问题,给出了完整的海洋声速剖面的准确预报.实测数据检验结果表明,改进方法的预报精度比传统方法有了很大提高.     

气相色谱用于渤海采油平台原油的鉴别

采用气相色谱法对渤海海上6个不同区块、7个平台的8口油井原油中正构烷烃组分及姥鲛烷植烷进行了定性定量分析,通过原始指纹谱图、正构烷烃组分及姥鲛炕植烷浓度分布比较和特征比值比较对原油进行了鉴别.结果表明,不同区块的原油指纹信息不尽相同,即使同一平台不同油井所产的原油指纹也存在一定差异,采用气相色谱法进行分析可对其进行鉴别.原油的风化对特征比值影响较小,可利用其进行风化油样的鉴别.为确保鉴别的准确性,分析过程中必须实施严格质量控制措施.     

豹纹鳃棘鲈胚胎发育的初步观察

2008年5月20日,对海水网箱养殖的豹纹鳃棘鲈(Plectropomus leopardus Lacépède)亲鱼进行人工催产试验,并对获得的受精卵进行胚胎发育观察,描述其发育各期的形态特征及发育速度.豹纹鳃棘鲈的受精卵呈浮性,透明圆球形,卵径为816.5 μm±15.9 μm,具一直径约145.5 μm的大油球,有些受精卵还含有数个(1～6)小油球.在自然海区水温30.0～31.2℃条件下,胚胎发育时间为16 h32 min.