Continuous,Direct Gas-Geochemical Monitoring in Hydrothermal Vents: Installation and Long-Term Operation on Nisyros Island (Greece)

In this paper the installation and long-term operation of a system for continuous monitoring of fumarolic gases is described. Several physicochemical and gas-geochemical parameters such as the concentration of CO₂, H₂S and CO in the fumarolic emissions, as well as the temperatures of the hydrothermal steam and soil in close vicinity of the fumarole and steam pressure are measured in short-time intervals (typically 15 seconds). Data are logged on-site and in parallel transferred to a remote station by digital telemetry. Specially developed software enables the real-time observation of the local conditions in the crater and full bidirectional control of the monitoring system. Fluctuations in the monitored parameters are also reported. From the data presented it can be concluded that environmental conditions (direction and strength of wind, precipitation) will interact with some of the parameters monitored. These influences can only be revealed by continuously operated monitoring systems.     

地形RSG模型的动态构网算法

论述了一种基于规则格网地形模型的动态构网算法。通过定义模型中顶点间的约束关系以及顶点误差的继承方法，利用四叉树构建出顶点的层次结构，有效解决了不同分辨率网络间接边的裂缝问题，实现在模型误差控制下的多分辨网络的实时正确构网。实验证明，该方法对于实时控制地形模型的细节层次，增强地形模型的绘制效率是非常有效的。     

基于TCP/IP协议的地震波形数据实时传输技术在数字地震台网联网中的应用

介绍了TCP/IP传输协议及其在广东省数字地震台网联网中进行地震波形准实时传输应用的技术思路和解决方案.     

多波束测深系统的高精度差分GPS数据实时优化

多波束海底地形探测是目前世界上最为先进的海底地形探测方法.高精度的差分GPS定位是实现多波束系统高精度测深的最基本前提.在海上探测作业过程中,由于客观原因,差分GPS数据存在偶然误差,影响多波束测深精度.本文提出对差分GPS数据进行航速、航向平滑处理、误差定位点位置推算的实时优化方法和数学模型,并给出实际实现的例子.     

卡尔曼滤波技术在伪距法动态定位中的应用探讨

本文对动态定位数据处理中应用卡尔曼滤波方法进行研究，通过模拟数据和实测数据采用自编软件进行数据处理，并对成果进行统计分析，最后，讨论了采用卡尔曼滤波方法的缺点，得出了一些有益的结论。     

水文预报及信息显示系统开发研究

介绍了SMAR(Soil Moisture Accounding and Routing)模型及其改进--分布式任意时段长模型。简要讨论了参数优化,河道汇流演算方法、实时预报及校正理论等。介绍了水文预报及信息显示系统的组成、功能、特点和环境要求及该系统在长江三峡区间洪水预报中的应用。     

强地震动数据采集实时系统研究

本文介绍了GDQJ-2型强地震动数据采集实时系统的结构原理和技术性能,着重介绍了一个台网形式的数据采集实时系统数据的处理流程、系统软件的多线程处理、对串口和Modem的操纵方式、数据帧的构成和压缩方式等。该系统可用于强地震观测和工程振动测量。     

Using unmanned underwater vehicles as research platforms in coastal ocean studies

The advantages of using unmanned underwater vehicles in coastal ocean studies are emphasized. Two types of representative vehicles, remotely operated vehicle (ROV) and autonomous underwater vehicle (AUV) from University of South Florida, are discussed. Two individual modular sensor packages designed and tested for these platforms and field measurement results are also presented. The bottom classification and albedo package, BCAP, provides fast and accurate estimates of bottom albedos, along with other parameters such as in-water remote sensing reflectance. The real-time ocean bottom optical topographer, ROBOT, reveals high-resolution 3-dimentional bottom topography for target identification. Field data and results from recent Coastal Benthic Optical Properties field campaign, 1999 and 2000, are presented. Advantages and limitations of these vehicles and applications of modular sensor packages are compared and discussed.     

洪水预报信息利用问题研究与讨论

分析了洪水预报研究现状,讨论了实时洪水预报系统研究中信息利用方面存在的问题,提出了值得进一步研究的关键性问题、研究思路和研究技术路线。     

基于Socket通信的WebGIS实时监测系统

在W ebG IS实时监测系统中,针对客户端采用实时刷新页面来更新信息方式的不足,本文提出应用Socket通信技术实现W ebG IS实时监测系统的设计思想和实现方法。首先,在分析Socket通信的原理和基本过程的基础上,给出了系统体系结构,然后讨论了其核心设计与系统实现,最后给出实例说明在W ebG IS实时监测系统中应用Socket通信技术可有效降低数据传输量,提高系统实时响应速度。