基于RS和GIS的松花江流域植被覆盖动态变化研究

利用遥感和地理信息系统技术对1989,1995年的Landsat TM数据和2002年Landsat ETM＋三期遥感数据进行处理,反演和计算松花江流域的归一化植被指数（NDVI）,在此基础上,获取研究区域植被覆盖度。在ArcGIS9.2软件空间分析模块的支持下,对研究区域三期植被覆盖影像进行叠加分析,以流域尺度和栅格尺度分析植被覆盖变化的时间和空间特性,获取研究区域植被覆盖度空间格局分布特征,为该区域植被覆盖度的自动化监测提供很好的技术支持。     

Total electron content processing from GPS observations to facilitate ionospheric modeling

With the increasing global distribution of high rate dual-frequency global positioning system (GPS) receivers, the production of a real-time atmospheric constituent definition, total electron content (TEC), has become a beneficial contributor to the modeling applications used in the assessment of GPS position accuracy and the composition of the ionosphere, plasmasphere, and troposphere. Historically, TEC measurements have been obtained through post processing techniques to produce the quality of data necessary for modeling applications with rigorous error estimate requirements. These procedures necessitated the collection of large volumes of data to address the various abnormalities in the computation of TEC associated with the use of greater data quality controls and source selection while real-time modeling environments must rely on autonomous controls and filtration techniques to prevent the production of erroneous model results. In this paper we present methods for processing TEC in real time, which utilize several procedures including the application of an ionospheric model to automatically perform quality control on the TEC output and the computational techniques used to address receiver multipath, faulty receiver observations, cycle-slips, segmented processing, and receiver calibrations. The resulting TEC measurements are provided with rigorous error estimates validated using the vertical TEC from the Jason satellite mission.

基于小波分解的动态变形预报

阐述了小波变换和多分辨率分析的基本原理,简要地介绍了离线预报和在线预报两种不同的变形预报方式,并在此基础上提出了基于小波分解的动态变形预报的方法,并通过实际算例证明了这种方法的有效性。     

Theoretical Model and Dynamic Analysis of Soft Yoke Mooring System

As a popular solution for mooring an FPSO （Floating Production, Storage and Offloading） permanently in shallow water, the soft yoke mooring system has been widely used in ocean oil production activities in the Bohai Bay of China. In order to simulate the interaction mechanism and conduct dynamic analysis of the soft yoke mooring system, a theoretical model with basic dynamic equations is established. A numerical iteration algorithm based on error estimation is developed to solve the equations and calculate the dynanfic response of the mooring system due to FPSO motions. Validation is conducted by wave basin experimentation. It is shown that the numerical simulation takes only a few iteration times and the final errors are small. Furthermore, the calculated results of both the static and dynamic responses agree well with those ones obtained by the model test. It indicates that the efficiency, the precision, the reliability and the validity of the developed numerical algorithm and program are rather good. It is proposed to develop a real-time monitoring system to further monitor the dynamic performance of the FPSO with a soft yoke mooring system under various real sea environments.     

武汉市城乡规划动态监管信息系统的设计与开发

介绍了武汉市城乡动态监管信息系统建设的基本思路和技术构架,分析了系统功能划分、数据库设计、网络与安全体系建设等问题,对遥感技术、GPS技术以及信息资源整合技术在项目建设中的应用进行了讨论。     

Model Test Study on Ice-Induced Vibrations of Compliant Multi-Cone Structures

For the study on the ice-induced vibration of a compliant mono-cone structure,a series of model tests were performed from 2004 to 2006.In these tests,the ice sheet before the compliant conical structure was found to be failed in two-time breaking.Based on this important finding,model tests study of the ice force on a compliant multi-cone structure were performed from 2006 to 2007.in these tests,the ice sheet broke before each single cone non-simultaneously.The exciting energy of the total ice force was found to be in a wide range of frequencies,and the structure can be easily excited with nonlinear resonance.     

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.     

广东博贺澙湖潮滩的冲淤变化及其动力作用分析

基于遥感技术,对反映17 a来博贺澙湖的5景遥感影像定量反演潮滩水边线,在此基础上推算澙湖潮滩的沉积与冲刷速率,同时对引起潮滩变化的动力作用进行探讨,结果表明博贺澙湖的潮滩以淤展为主,其中处于开敞地段的澙湖潮滩出现冲刷,遮蔽岸段的澙湖潮滩淤积,控制澙湖潮滩变化的主要因子是包括圈围潮滩成盐田、虾池以及鱼塘等的人类活动.     

中国海洋志愿观测船现运行状态及发展

志愿船观测是中国必须履行的国际义务。目前,中国海洋志愿观测船只呈逐年减少趋势,从过去的百余艘船只降至三、四十艘,并且从观测能力上也存在较多问题,比如观测手段比较落后、观测要素单一、观测资料缺乏。从根本上讲,志愿船运行机制缺乏有效的制度化保障,因此难以形成业务化能力,并且不能有效的履行国际义务。本文将对志愿船现运行状态及发展进行论述。     

黄河口粉质土沉积物侵蚀性动态变化试验研究

通过一系列室内试验,研究了黄河口粉质类沉积物在循环动荷载作用后侵蚀性的变化.在试验中,采用真空预压固结装置制备重塑土样,采用液压伺服土动三轴试验机实现了不同幅值及不同振次的动荷载作用条件,并通过动三轴静态试验及贯入强度测试,测定了动荷载作用后土样强度的变化.通过水槽冲刷试验测试了不同条件的动荷载作用后,土样抗冲刷能力的变化,并进行了临界剪切应力的计算.试验结果表明:对于黄河口粉质类沉积物,动荷载作用后其强度及抗侵蚀性均降低;沉积物强度指标(不排水剪切强度、残余强度、贯入阻力)、侵蚀性指标(起动流速、临界剪切应力、冲刷率)与动荷载幅值、动荷载振次均呈现出较好的线性相关性.