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河北张家口及怀来台形变数字化观测资料的应用
引用本文:王曰风,张秀萍,王锐锋,马利军.河北张家口及怀来台形变数字化观测资料的应用[J].山西地震,2007(3):11-15.
作者姓名:王曰风  张秀萍  王锐锋  马利军
作者单位:1. 中国科学技术大学地球和空间科学学院,安徽,合肥,230026;河北省地震局张家口中心地震台,河北,张家口,075400
2. 河北省地震局张家口中心地震台,河北,张家口,075400
摘    要:为探索数字化观测资料的前兆异常特征,进一步认识其映震能力,使得数字化观测资料在今后的地震分析预报中得到充分的利用。收集2002年至2005年华北地区发生的M>5.0、张家口地区4.0级以上地震目录,对河北张家口、怀来台的形变数字化观测资料(水管倾斜仪、伸缩仪和体应变等)进行了研究。结果发现,在多次中强以上地震前几小时至几天,各个观测项目均记录到固体潮畸变、高频脉冲、抖动、转折等异常形态,并对其映震特征进行了分析。

关 键 词:异常形态  映震能力  形变  数字化观测资料
文章编号:1000-6265(2007)03-0011-05
收稿时间:2007-01-13
修稿时间:2007-01-132007-04-27

Application of Digital Observation Data of Deformation of Zhangjiakou and Huailai Seismic Stations of Hebei Province
WANG Yue-feng,ZHANG Xiu-ping,WANG Rui-feng,MA Li-jun.Application of Digital Observation Data of Deformation of Zhangjiakou and Huailai Seismic Stations of Hebei Province[J].Earthquake Research in Shanxi,2007(3):11-15.
Authors:WANG Yue-feng  ZHANG Xiu-ping  WANG Rui-feng  MA Li-jun
Institution:1. Earth and Space Science Institute, University of Science and Technology of China, Anhui, Hefei 230026,China;2. Central Seismological Station of Zhangjiakou, Earthquake Administration of Hebei Province, Hebei, Zhangjiakou 075400,China
Abstract:In order to explore characteristics of precursor anomaly of digital observation data,understand its reflecting earthquake ability further,making these digital observation data fully utilized in the future earthquake analysis and prediction,the catalog of earthquakes of M>5 in the North China and earthquakes of M>4.0 in Zhangjiakou region are collected and digital observation data of deformation from Zhangjiakou and Huailai Stations(water pipes inclinometer,extensometer and body strain instrument ect.) are studied.It is found that hours to a few days before many medium-strong or lager earthquakes,Anomalies such as tidal distortion,high-frequency pulse,trembling and transition etc.are recorded at all the observation above.Also,reflecting earthquake characteristics of these observations are analyzed.
Keywords:Anomalous shape  Reflecting earthquake ability  Deformation  Digital observation data
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