数字化形变观测资料异常识别方法的应用及评价

APPLICATION AND APPRAISEMENTON METHODS DISTINGUISHING DIGITAL DEFORMATION OBSERVATION ABNORMALITY

对数字化形变观测资料在地震分析预报中的应用方法进行了分析和评价。重点分析了中短及短临异常的识别方法,并采用"异常类比法"对所采用的异常分析方法进行了评价。结果表明:非潮汐分析、斜率差信息、从属函数、自适应阀值等方法适合于识别短临异常;K-L最佳直线拟合、傅里叶变换等方法适合于识别中短期异常。

The methods of digital deformation observation used in seismic forecast were analyzed and appraised.The distinguishing methods of mediumshort and shortimpending anomaly were chiefly analyzed.Then these methods were appraised by means of abnormal analogy.It shows that the method of nontide analysis,oblique rate difference information,Secondary function and selfadapting valve value suit to identify shortimpending anormaly;KL linear fitting and Fourier transformation suit to identify mediumshort anomaly.