华北地区地倾斜中短期地震前兆识别及预报方法研究
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
对华北地区17 个台站25 套倾斜仪10 年以上的资料,统一用调和分析、卡尔曼滤波和周期滤波方法进行全面系统处理,提取异常信息,统计分析与该地区MS5 级以上地震的关系,并对这几种方法进行评价。结果是:地倾斜固体潮M2 波γ因子异常与地震的对应率为57% ,R=0.40;调和分析残差异常对应率为41% ,R= 0.25;由卡尔曼滤波方法识别的异常与地震的对应率为15% ,R= 0.11;周期滤波方法识别的异常与地震对应率为59% ,R= 0.51。建立了地形变预报地震的综合模型,异常信度在空间上的分布呈同心圆状,地震通常发生在信度高的地区。
The data of 25 sets of tiltmeter in 17 stations over 10 years in north China are processed comprehensively and systematically by the methods of harmonic analysis, Kalman filtering and periodic filtering. The anomaly information of these data and the relation between anomaly and earthquakes ( M S>5) in the region is analyzed statistically. In this way, all methods are evaluated. The results show that 57% anomalies ( R =0.40) identified from γ factor of M 2 waves of ground tilt solid tides, 41% anomalies ( R=0.25 ) picked up from harmonic analysis and 15% anomalies ( R =0.51) recognized from periodic filtering are corresponded to earthquakes. A synthetic prediction model with crustal deformation approach is established. The distribution of anomaly confidence shows elliptic shape, and earthquake usually occurs in high confidence value region.
引文
1 陈光齐,吴翼麟.卡尔曼滤波在连续形变资料处理中的应用,见:地震预报方法实用化攻关研究文集(形变、重力、应变专辑). 北京: 地震出版社,1991.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心