节点文献
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
【摘要】 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。
【Abstract】 The methods of digital deformation observation used in seismic forecast were analyzed and appraised.The distinguishing methods of mediumshort and shortimpending anomaly were chiefly analyzed.Then these methods were appraised by means of abnormal analogy.It shows that the method of nontide analysis,oblique rate difference information,Secondary function and selfadapting valve value suit to identify shortimpending anormaly;KL linear fitting and Fourier transformation suit to identify mediumshort anomaly.
【关键词】 数字化观测;
形变;
短临异常;
中短期异常;
异常类比法;
【Key words】 Digital observation; Deformation; Short-impending anomaly; Medium-short anomaly; Means of abnormal analogy;
【Key words】 Digital observation; Deformation; Short-impending anomaly; Medium-short anomaly; Means of abnormal analogy;
【基金】 山东省自然科学基金项目 (Y2 0 0 0E0 8); 2002年中国地震局三结合项目
- 【文献出处】 东北地震研究 ,Seismological Research of Northeast China , 编辑部邮箱 ,2003年01期
- 【分类号】P315.63
- 【被引频次】4
- 【下载频次】66