基于地震对应概率谱分析的定点形变前兆异常探索

摘要

利用地震对应概率谱和累计滑动平均概率方法,选取精河水平摆卡尔曼滤波差值进行中强地震前兆定量的异常识别探索。探索中先是对精河水平摆卡尔曼滤波差值数据进行数据分布及各区间参数有震对应分布的研究,然后利用累计滑动平均方法得到滑动平均概率,从而检验地震对应概率谱在定点形变前兆异常的预报效能。%Based on the corresponding probability spectrum and accumulated sliding mean probability and the Kalman filter difference of the horizontal pendulum in Jinghe Seismic Station, the quantitative anomalies recog- nition before the moderate earthquakes are analyzed. The distribution of the data and corresponding parameters are analyzed, and got sliding mean probability by the accumulative sliding mean method , and in order to test the relevance of corresponding probability spectrum to the definition of deformation precursory anomalies.