多种前兆观测数据的合成信息熵研究

STUDY ON SYNTHETIC INFORMATION ENTROPY OF MULTI-PRECURSOR OBSERVING DATA

摘要:

采用概率化预处理方法,把多种前兆观测值时间序列转化为概率值时间序列.在此基础上,应用信息论基本原理,计算由多种前兆观测项目构成的信源系统的合成信息熵.通过对乌鲁木齐及邻近地区17种前兆观测资料的实际计算,发现在多次中强地震前出现半年至一年的减熵异常过程.

Abstract:

Temporal series of the multi-precursor observing data has been translated into probability temporal series by using the probabilization processing.Based on the work above,the synthetic information entropy of the information source system which is made up of the multi-precursor observing items has been calculated by applying the basic principle of information theory.Calculating the 17 items of precursor observation data in Urumqi and its neighborhood,it has been found that the anomaly process of entropy decrease appeared half a year to one year before moderate and strong earthquakes.