单锚腿系泊系统动力计算的新方法

在Hamilton型拟变分原理体系下,建立了一种时间子域以三次和五次B样条函数插值的时间子域法,并将这种新方法用于单锚腿系泊系统的动力响应分析中。算例表明,新方法比传统的动力计算方法Wilson-θ法,在计算精度上有明显的优势,表明本方法能够用于计算单锚腿系泊系统的动力响应。     

Coupling winds to ocean surface currents over the global ocean

A Wind stress–Current Coupled System (WCCS) consisting of the HYbrid Coordinate Ocean Model (HYCOM) and an improved wind stress algorithm based on Donelan et al. [Donelan, W.M., Drennan, Katsaros, K.B., 1997. The air–sea momentum flux in mixed wind sea and swell conditions. J. Phys. Oceanogr. 27, 2087–2099] is developed by using the Earth System Modeling Framework (ESMF). The WCCS is applied to the global ocean to study the interactions between the wind stress and the ocean surface currents. In this study, the ocean surface current velocity is taken into consideration in the wind stress calculation and air–sea heat flux calculation. The wind stress that contains the effect of ocean surface current velocity will be used to force the HYCOM. The results indicate that the ocean surface velocity exerts an important influence on the wind stress, which, in turn, significantly affects the global ocean surface currents, air–sea heat fluxes, and the thickness of ocean surface boundary layer. Comparison with the TOGA TAO buoy data, the sea surface temperature from the wind–current coupled simulation showed noticeable improvement over the stand-alone HYCOM simulation.     

京杭大运河保护地理信息系统建设研究

京杭大运河是独特的超大型文化遗产,其保护工作面临着复杂的形势和问题,需要新的理论方法和技术手段支持。以地理信息系统（GIS）,遥感（RS）,全球定位系统（GPS）为核心的空间信息技术在空间信息获取、处理、管理和分析上有着强大的优势。本文根据空间信息科学和文化遗产保护理论,结合京杭大运河保护实际业务需求,探讨了基于空间信息技术的京杭大运河保护地理信息系统的建设思路和建设方法,设计和开发了京杭大运河保护地理信息系统并实际应用于京杭大运河历史文化环境保护工作中,产生了一系列专题研究成果。结果表明：空间信息技术可以为大运河保护提供强有力的技术支持和可靠保障。     

GIS技术在房地产市场信息系统中的应用研究

简要介绍了当前国内房地产现状、存在的问题,以及房地产市场信息系统（Real Estate Market Information System,以下简称REMIS）当前所处的发展背景,指出房产GIS在标准和应用上存在的一些问题。对房地产管理和REMIS对GIS的需求情况进行了分析。根据需求分析作者提出了GIS技术在REMIS中的几种应用模式,并指出基于楼盘表为核心的GIS应用模式将是未来房产GIS发展的方向。针对房产GIS应用的不同模式采用的几种关键技术也做了相应描述。     

System identification for nonlinear maneuvering of large tankers using artificial neural network

This paper deals with the application of nonparametric system identification to a nonlinear maneuvering model for large tankers using artificial neural network method. The three coupled maneuvering equations in this model for large tankers contain linear and nonlinear terms and instead of attempting to determine the parameters (i.e. hydrodynamic derivatives) associated with nonlinear terms, all nonlinear terms are clubbed together to form one unknown time function per equation which are sought to be represented by the neural network coefficients. The time series used in training the network are obtained from simulated data of zigzag maneuvers and the proposed method has been applied to these data. The neural network scheme adopted in this work has one middle or hidden layer of neurons and it employs the Levenberg–Marquardt algorithm. Using the best choices for the number of hidden layer neurons, length of training data, convergence tolerance etc., the performance of the proposed neural network model has been investigated and conclusions drawn.     

Climatic regimes and the recruitment rate of anchoveta, Engraulis ringens, off Peru

The recruitment rate of Peruvian anchoveta, Engraulis ringens, was studied to test the hypothesis that long-term environmental variation (regime shifts) had a significant impact on density-dependent processes governing the anchovy recruitment during the period 1963–2004. On the basis of previous defined regimes and turning points for the Humboldt Current System, we identified two groups of years for increased recruitment of anchoveta (1963–1971 and 1986–2004), and one unfavorable period (1972–1985). A common intercept and significantly different slopes were found when the recruitment rate was plotted as a function of the spawning stock biomass during those groups of years, suggesting that density-dependent effects on recruitment were affected during different climate regimes. The favorable (unfavorable) regime was characterized by higher (lower) zooplankton volumes, and with a higher frequency of colder (warmer) waters. Dome-shaped relationships between recruitment rate, spawning stock biomass and SST, were detected with a Generalized Additive Model for the favorable regime. Thus, recruitment could be explained by non-linear effects of environmental variables. Ultimately, climatic regimes are affecting the density-dependent effects on recruitment of anchoveta and the mechanisms involved may be associated with changes in the carrying capacity of the spawning habitat of anchoveta off Peru, which in turn are related with the effects of cold and warm regimes.     

RTK-GPS�����������񶯵Ķ�Ƶ�ʳɷַ���

???????RTK-GPS(????????λ??)???????????????????????????????????????????????????????RTK-GPS???????????????????????????????????????????????????????????е??     

DGPS测深技术在海底管道工程中的应用

简要介绍了差分全球定位系统(DGPS)的基本定位原理、DGPS测深技术中水深测量系统的硬件组成。重点分析了福建LNG站线湄洲湾海底管道工程成功采用DGPS测深技术进行勘测作业,使测量精度和工程效率得到极大地提高。这一工程实践经验说明,DGPS测深技术逐步为海底管道工程所采用,但其是一个不断探索、不断完善的过程,对今后我国沿海地区的海底管道工程的勘测建设具有一定的借鉴作用。     

热带太平洋深海微生物的若干生理生态特征

从2001年春、秋季于热带太平洋区采集到的深海样品中共分离到110株微生物,从中挑取31株进行形态特征和对环境理化因子适应特征的研究,同时利用Biolog微生物自动鉴定系统进行菌种鉴定和碳源代谢分析.结果表明:31株微生物中2株为酵母,21株为革兰氏阳性细菌,8株为革兰氏阴性细菌,来自底质的细菌菌株阳性菌占优势,而海水、蓝藻中阴性菌居多;温度、盐度、pH适应性试验表明,严格意义上的狭适性微生物不到总数的1/3,而具有较宽生态幅的广适性微生物占有相当大的比例.另一方面,耐冷菌、中度嗜盐菌和抗碱菌在这些微生物中的比例很高,同时,来自蓝藻的菌株大多数在4℃下不生长,而来自上覆水和底质的菌株可在4℃生长,这些都体现了微生物对生存环境的响应.31株微生物经Biolog鉴定12株得出鉴定结果.15株革兰氏阳性细菌对95种碳源的利用能力分析表明,不同菌株可利用碳源的数目从3种到46种不等,差异很大,体现了深海微生物营养类型的极大多样性;同时,发现有8种碳源可被一半以上的受试菌株所利用,这些碳源均是微生物各类代谢途径中的重要中间代谢物.     

关于虚拟地理环境研究的几点思考

该文主要回答了目前被频繁问及的有关虚拟地理环境的几个问题。重点阐述了虚拟地理环境的概念、发展现状及其基本理论、方法、关键技术与应用,以及与传统地理信息系统的区别。指出虚拟地理环境是在空间数据库和地理模型管理基础上构建的、同时表达地理静态和模拟动态现象的、面向多用户的分布式协同虚拟环境。因此,虚拟地理环境突破地理信息系统以数据共享为核心的框架,走向以数据库和模型库为双核心的知识共享平台,进而形成一个新知识的生成环境。