地震前兆资料的概率化及合成缺信量的研究

STUDY ON SEISMIC PRECURSORY DATA PROBABILIZATION AND SYNTHETIC INFORMATION CONTENT LACKAGE

在对单项观测资料进行概率化的基础上，以唐山地区和乌鲁木齐地区为研究区，计算分析了多种前兆观测资料的合成缺信量，结果表明在强震和中强震发生前，合成缺信量的低值异常过程是比较明显的。进行这项研究对于综合识别多种前兆变化图象及在实际预报中的应用均有一定的意义。

On the basis of probabilization for single observed data,taking Tangshan and Urumqi districts as research region,we calculated various precursory data by synthetic information content lackage and got to know that before strong and moderate strong earthquakes,the low value process of synthetic information content lackage often appears,from which we can draw some conclusions and sure that there is of certain significance in comprehensive recognition of multiple precursory variation and earthquake prediction.