单胞藻薄膜袋封闭式培养技术的研究

本文提出了用聚乙烯薄膜透明袋对单胞藻进行封闭式培养技术的研究结果。用该技术培养单胞藻作海产动物幼体的饵料,与目前通用的水泥池开放式培养比较,具有方法简单成本低廉、培养的单胞藻密度高、不易污染、生产周期短等优点。该技术在1988年的扇贝人工育苗生产中,提高了投饵质量和幼虫的成活率。     

DO、BOD与COD的监测方法与相互关系探讨及其在海洋监测中的应用

本文简要综述了DO，BOD和COD的监测方法，指出集三者功能于一体的光纤传感器方法作为其新的发展方向。着重论述了三者之间的相互关系，并以实例证明这种相互关系依然存在于复杂的海洋环境中，有望通过集三者功能于一体的现场监测仪器来研究所存在的相互关系，建立起有机污染预防机制。     

长江口区化学耗氧量的分布特征

根据“三峡工程对长江河口区生态与环境的影响和对策”的研究要求,为掌握工程兴建前长江口环境状况,我们于1985年8月一1986年5月,对122°-124°E,30°45′-32°00′N海域及受潮汐影响的江段进行了调查。本文根据5个航次的调查资料阐述了长江口海域化学耗氧量(COD)的分布特征。     

Analytical Study on Transmission and Reflection of Non-Linear Shallow Water Waves

The analytical study is made by using the method of matched asymptotic expansions on the transmission and reflection of solitary waves and cnoidal waves on two-dimensional floating bodies. The solutions give explicitly the variation pattern of the transmitted waves and the characteristics of the reflected waves, including the wave profile, amplitude, phase shift and evolution. The effects of the gap between the body and the sea bottom on the transmission and reflection of those waves are also discussed.     

模糊类比分析法在渔业数值预报中的应用研究

渔业数值预报除涉及水文、气象、饵料生物量、资源幼体等的资源环境因子外 ,还要考虑经济、社会等因素。本文在分析 1987～ 1993年历史资料的基础上 ,利用资料之间的类比性 ,提出渔情预报的模糊类比分析方法 ,将预报年份与历史记录之间的多指标综合类比排序 ,得出预报值。在东海北部鲐渔情预报中发现 ,与直接估算法比较 ,该方法具有所需资料少、预报迅速合理的优点 ,而且随着历史资料的扩充 ,自身能够不断学习更新。     

长江口区海水中溶解有机碳和颗粒有机碳的分布及变化的研究

长江每年有上千万吨有机物质注入河口邻近海域，影响着这一海域独特的生态环境。 本文根据1985年8月至1986年5月专业调查资料,论述了长江口邻近海域溶解有机碳(DOC)和颗粒有机碳(POC)的分布及变化，并从有机物质的变化推测三峡工程对河口海生态系的影响。     

Some numerical experiments of the dynamics of the wintertime circulation in the Northern Huanghai Sea and the Bohai Sea

Some numerical experiments have been developed to explain dynamically the mechanism of the formation of the wintertime circulation in the Northern Huanghai Sea and the Bohai Sea. From the results of the numerical experiments with Coriolis parameter having positive and negative values respectively, it is found that the current pattern characterized by flowing into the Bohai Sea in the northern part of the Bohai Straits and flowing out of the Bohai Sea in the southern part of the Bohai Straits is controlled basically by the bottom topography with "the deepness on the northern side and shallowness on the southern side'in the Bohai Straits, and is not related to Coriolis parameter having positive and negative values. It also shows that the Huanghai Warm Current regarded as the inllow condition passing through the in-ports at the water boundary of the numerical experiments only influences the region near the water boundary and the eastern region of the Northern Huanghai Sea. In addition, the mechanism of the     

Variation analysis of precipitation during past 286 years in Beijing area,China, using non‐parametric test and wavelet analysis

Non‐parametric methods including Mann–Kendall (M–K) test, continuous wavelet transform (CWT) and discrete wavelet transform analysis are applied in this paper to detect the trend and periodic trait of precipitation data series in Beijing area where the data set spans nearly 300 years from 1724 to 2009. First, the trend of precipitation variables is elaborated by the M–K test (Sequential M–K test). The results show that there is an increasing trend (the value of this trend is 1.98) at the 5%‐significance level and there are not turning points in the whole data series. Then, CWT and wavelet variance are used to check for significant periodic characteristics of data series. In the plots of wavelet transform coefficients and figure of wavelet variance, some periodic events affect the trend of the annual total precipitation series in Beijing area. 85‐year, 35‐year and 21‐year periodic events are found to be the main periodic series of long‐term precipitation data, and they are all statistically significant. Moreover, the results of non‐parametric M–K test are exhibited on seven different combinations of discrete wavelet components. D5 (32‐year periodicity) periodic component is the effective and significant component on data. It is coincident with the result (35‐year periodic event as one part of main periodicity) by using CWT analysis. Moreover, approximation mode shows potential trend of the whole data set because it is the residuals as all periodicities are removed from data series. Thus, the mode A + D5 is responsible for producing a real basic structure of the trend founded on the data. Copyright © 2012 John Wiley & Sons, Ltd.