地震前兆信息系统的信息分解与浓缩

INFORMATION DECOMPOSITION AND ENRICHMENT OF EARTHQUAKE PRECURSORY INFORMATION SYSTEM

本文运用数值分类学中的因子分析方法,试图从多种前兆观测时序集中浓缩与分解出与地震孕育发生有关的成因信息。并用诸如“地震过程”这样一些概念来代表和归纳一组互相紧密相关的前兆现象和特征。这是与孕震系统在统一区域应力场作用下的整体性行为及子系统之间的协同关联运动的事实在思路上是相一致的。若干震例的研究结果表明,数值分类学是我们实现多台站、多手段,时、空动态综合预报思路的一种较好的方法。

This paper attempted to enrich and decompose the genetic information relative to the preparedness and occurrence of earthquakes from the sequential sets of various precursory observations using the factor analysis method in the digital taxonomy. And some conceptions, such as the earthquake process, are used to represent and generalize a group of closely related precursory phenomena and characteristics. This phenomenon is identical to the integrated, behaviour of seismogenic system under the action of unified regional stress field. The research results of some earthquake cases show that the digital taxonomy is one of better methods for realizing the. comprehensive prediction idea based on multistations, multimeans and time-space dynamics.