活动断层探察数据的信息编码优化研究

Optimizing Information Coding of Active Fault Survey Data

从20世纪90年代起,研究人员就开始探索活动断层探察数据的制作、存储与管理。迄今为止,已经获得了大量的活动断层探察数据,建成了一套系统的数据组织体系,为减轻地震灾害的相关研究提供了数据和技术支撑。近年来,随着活动断层数据库信息的扩充,初期设计的部分属性信息编码已不适用。为了形成适应当前工作的属性信息编码体系,本文以活动断层数据库建设体系为基础,对数据库属性值代码进行信息分类和编码优化。文章将数据库属性值代码分为字符型单一含义值、数值型单一含义值及复合含义值,分别进行编码规则设计,最终优化了数据库属性信息编码体系,提高了从建库到数据应用的数据录入、检测、制图自动化、数据分析等环节的效率。

The study of digital active fault database of storing and managing active fault survey data started in the 1990s. In the following 20 years, a systematic database framework has been developed, which provided fundamental data to minimize losses caused by earthquake disasters. In recent years, as the database framework developed and the range of information extended, some early designed attribute value codes are no longer adaptable to the new database framework. In order to build a more applicable attribute value coding system, we designed the coding rules respectively for three types of values： simple meaning character codes, simple meaning numerical codes and complex meaning codes. A new attribute value coding system has been built and discussed in this paper. The results show that the new system is helpful of increasing the efficiency of data entry, data detection, auto-mapping, data analysis and other relevant work.