Spatial Database Management System of China Geological Survey Extent

The spatial database management system of China geological survey extent is a social service system. Its aim is to help the government and the whole social public to expediently use the spatial database, such as querying, indexing, mapping and product outputting. The management system has been developed based on MAPGIS6. x SDK and Visual C , considering the spatial database contents and structure and the requirements of users. This paper introduces the software structure, the data flow chart and some key techniques of software development.     

Development of Geological Data Warehouse

Data warehouse (DW), a new technology invented in 1990s, is more useful for integrating and analyzing massive data than traditional database. Its application in geology field can be divided into 3 phrases: 1992-1996, commercial data warehouse (CDW) appeared; 1996-1999, geological data warehouse (GDW) appeared and the geologists or geographers realized the importance of DW and began the studies on it, but the practical DW still followed the framework of DB; 2000 to present, geological data warehouse grows, and the theory of geo-spatial data warehouse (GSDW) has been developed but the research in geological area is still deficient except that in geography. Although some developments of GDW have been made, its core still follows the CDW-organizing data by time and brings about 3 problems: difficult to integrate the geological data, for the data feature more space than time; hard to store the massive data in fifferent levels due to the same reason; hardly support the spatial analysis if the data are organized by time as CDW does. So the GDW should be redesigned by organizing data by scale in order to store mass data in different levels and synthesize the data in different granularities, and choosing space control points to replace the former time control points so as to integrate different types of data by the method of storing one type data as one layer and then to superpose the layers. In addition, data cube, a wide used technology in CDW, will be no use in GDW, for the causality among the geological data is not so obvious as commercial data, as the data are the mixed result of many complex rules, and their analysis needs the special geological methods and software; on the other hand, data cube for mass and complex geo-data will devour too much store space to be practical. On this point, the main purpose of GDW may be fit for data integration unlike CDW for data analysis.     

佛山市短时强降水多普勒雷达回波特征和诊断分析

本文使用1999～2002年中尺度系统资料和Micaps天气形势资料等，分析近几年佛山强降水(时雨量≥15mm)的出现规律、回波特征、强降水出现前空间风场的演变，地形分布和强降水关系等，初步探讨了本地短时强降水出现前的征兆。     

甘肃省1994～2001年极端干旱气候特征研究

利用甘肃省80站月降水量资料，对1994—2001年连续8a极端干旱气候持续时间、空间分布、干旱影响程度、相似年等进行研究。得出1995年、1997年、2000年是近8a中干旱量严重年，对农业、水资源、生态环境的影响最大。     

K指数在暴雨分析预报中的应用

引　言暴雨预报方法和指标一直是天气预报工作者探索的重点。大量文献表明 ,K指数主要用作对流性天气的一个热力指标 ,且沿用北美[1] 的统计结论较多 (即K >35℃ ,可能有成片雷暴 ) ,系统研究K指数与降水关系的比较少见。我们选取MICAPS提供的客观K指数分析场 ,初步发现K指数 (及不稳定能量E)对本地的降水 ,特别是对 2 4小时暴雨预报有一定的指标性。1　K指数意义根据文献 [1 ]:K =[T850 -T50 0 ]+Td 850 - [T -Td]70 0其中第 1项为 850hPa与 50 0hPa的温度差 ,代表温度递减率 ,第 2项为 850hPa的露点 ,表示低层水汽条件 ,第 3项为…     

几种中长期天气预报方法探讨

中长期预报一直是预报业务和为决策服务工作的难点，也是目前气象部门急需解决的技术问题。成都市气象局在多年的业务实践中，积累了一些统计预报方法。这些方法在对降水过程和降水量的预报中起到了一定的指导作用。     

面向数字城市空间管治的Mobile GIS集成研究

探讨了数字城市空间管治Mobile GIS集成的技术路线。通过城市空间管治动态信息采集、空间决策支持需求分析,设计实现了数字城市空间管治移动GIS系统。     

浅析JX4全数字摄影测量工作站向量测图数据向CASS数据的转换

本文分析了JX4向量测图与南方CASS数据的存贮格式,利用图形交换文件(DXF)及两种软件提供的数据接口,解决了JX4向量测图数据向南方CASS软件数据的图层、符号等的自动转换问题,并提出了时JX4与CASS软件间数据相互转换的思路。     

地理信息系统在国内外应用现状

GIS为人类由客观世界到信息世界的认识以及由信息世界返回客观世界的利用改造，创造了空前良好的条件和环境。     

协同空间决策的概念、过程与特点研究

对空间决策支持系统和计算机系统协同工作环境进行系统分析和总结，概括了较为完整的协同空间决策概念，提出了协同空间决策的空间问题协同分析、方案生成与可视化、方案分析、方案表决等基本过程。在此基础上，作者详细分析了协同空间决策的复杂性、交互可视化、多用户参与、方案探索性分析、多层次协同等基本特征。