摘要
为准确提取震前异常信息,以2017年新疆精河M_(S)6.6地震为例,基于乌鲁木齐台站W-N(k)测段数据,利用离差统计分析方法与原始曲线分析方法分别从定量与定性两个角度研究了地震前后的数据异常特征。结果显示,震前测段数据的变差系数成倍增大,离差分布曲线偏离正态分布,原始曲线出现大幅转折,断层活动形式出现明显变化,震后异常特征消失。通过效果图可知,结合两种方法分析数据异常具有一定的可行性,能为震前异常识别提供参考。
In order to extract abnormal information before earthquake accurately,this paper took 2017 Jinghe M_(S)6.6 earthquake in Xinjiang area as a sample and used methods of deviations statistics analysis and original curve analysis to study anomalous characteristics of the data before and after this earthquake from the perspective of quantitative and qualitative analysis based on the cross-fault data of W-N(k)segment of Wulumuqi seismostation.The results show that the deviation coefficients get larger and shapes of deviation distribution curves of this segment deviate from normal distribution obviously,meanwhile,shape of original curve of the segment changes by a large margin and active pattern of the fault near the seismostation reverses apparently before the earthquake,which disappear after the earthquake.The result figures prove that analyzing data anomalies using the two methods is feasible to a certain extent,which also provides a reference for anomalies recognition before earthquake.
作者
张占阳
孙启凯
何亚东
张俊青
刘坤
ZHANG Zhanyang;SUN Qikai;HE Yadong;ZHANG Junqing;LIU Kun(The First Monitoring and Application Center,China Earthquake Administration,Tianjin 300180,China)
出处
《华北地震科学》
2021年第1期64-69,共6页
North China Earthquake Sciences
基金
中国地震局震情跟踪定向工作任务(2019010225)
国家科技基础性工作专项(2015FY210400)。
关键词
离差统计
变差系数
滑动时间窗
离差分布曲线
原始曲线
精河M_(S)6.6地震
deviations statistics
deviation coefficient
sliding time window
deviation distribution curve
original curve
Jinghe M_(S)6.6 earthquake
