基于小波分析提取的云南强震数字化形变异常特征

英文篇名：Anomalies Characteristics of Digital Data of Deformation Before Strong Earthquakes in the Yunnan Region Based on Wavelet
中文刊名：中国地震
英文刊名：Earthquake Research in China
作者：刘强 ; 宋治平
英文作者：Liu Qiang~ 1 ; 2) Song Zhiping~ 3) 1) School of Earth and Space Sciences ; University of Science and Technology of China ; Hefei 230026 ; China2) Earthquake Administration of Yunnan Province ; Kunming 650224 ; China3) Earthquake Administration of Shanghai Municipality ; Shanghai 200062 ; China
中文关键词：小波分析 ; 数字化形变 ; 强震特征 ; 云南地区
英文关键词：Wavelet analysis Digital data of deformation Anomalies characteristics of digital data of deformation before strong earthquakes Yunnan region
出版日期：2007-09-15
机构：中国科学技术大学地球和空间科学学院,上海市地震局合肥市金寨路96号230026,云南省地震局,昆明市北市区北辰大道650224,上海200062
年：2007
期：03
出版单位：中国地震

摘要

运用小波分析理论及其时频分析方法,阐述了提取高频信息与低频信息的方法,并用该方法提取了2001年以来云南地区强震(MS≥6)前数字化形变异常。结果表明,在MS≥6地震前,震中附近(<250km)的倾斜、应变和重力等形变信号出现周期为3~11天的异常信息;重力和倾斜异常出现较早,可作为中短期指标,应变异常出现较晚,可用作短临指标;震源区最先出现应变异常,应变异常可作为未来强震震中的判定指标。这些强震前数字化形变异常特征对该地区未来强震三要素的中短临判定具有较好的参考作用。
The theory of wavelet analysis and the time-frequency analysis method of wavelet are applied,the authors expound a method for extracting high or low-frequency information from original recording signals,and the authors applied the method to extract anomalies of digital data of deformation before strong earthquakes(M_S≥6.0) in the Yunnan region since 2001. The study shows that digital signals of deformation (tilt,strain and gravity solid tide) appear anomalies for a period of 3～11 days before strong earthquakes at the stations near epicenters (<250km),and anomalies of tilt and gravity emerge earlier than strain and the former may be as a medium-short index and the latter may be as a short-impending index,and anomalies of strain appearing near focus of the earthquake early may be as a determining index of epicenter for the next strong earthquakes. The anomaly characteristics of digital data of deformation before strong earthquakes are valuable for medium-term or short-impending prediction about time, position and magnitude of coming strong earthquakes(M_S≥6.0).

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