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两次强震发生前后主动源观测走时数据的变化
引用本文:张元生,王宝善,陈颙,王兰民,邹锐,秦满忠,郭晓,沈旭章,魏从信,刘旭宙,王亚红,孙点峰,郭瑛霞,尹亮.两次强震发生前后主动源观测走时数据的变化[J].地球物理学报,2017,60(10):3815-3822.
作者姓名:张元生  王宝善  陈颙  王兰民  邹锐  秦满忠  郭晓  沈旭章  魏从信  刘旭宙  王亚红  孙点峰  郭瑛霞  尹亮
作者单位:1. 中国地震局黄土地震工程重点实验室, 兰州 730000;2. 兰州大学土木工程与力学学院, 兰州 730000;3. 中国地震局地球物理研究所, 北京 100081
基金项目:国家自然科学基金项目(41574044)和行业科研专项(201308011)共同资助.
摘    要:利用祁连山主动源连续激发台站记录资料,通过不同时间段的多次激发数据叠加处理,可以获取各个地震台的Pg和Sg震相走时变化数据.对震相走时变化数据分析发现,在2015年11月23日祁连5.3级和2016年1月21日门源6.4级地震发生前后震源区附近台站存在明显的震相走时变化,推测导致这种异常变化的原因是震源区的速度发生了改变.这一观测结果说明主动源方法可能成为地震预测的一种新途径.

关 键 词:气枪震源  地震前后  地震波走时变化  地震预测  
收稿时间:2017-01-05

Travel-time variations before and after two major earthquakes derived from active-source seismic data
ZHANG Yuan-Sheng,WANG Bao-Shan,CHEN Yong,WANG Lan-Min,ZOU Rui,QIN Man-Zhong,GUO Xiao,SHEN Xu-Zhang,WEI Cong-Xin,LIU Xu-Zhou,WANG Ya-Hong,SUN Dian-Feng,GUO Ying-Xia,YIN Liang.Travel-time variations before and after two major earthquakes derived from active-source seismic data[J].Chinese Journal of Geophysics,2017,60(10):3815-3822.
Authors:ZHANG Yuan-Sheng  WANG Bao-Shan  CHEN Yong  WANG Lan-Min  ZOU Rui  QIN Man-Zhong  GUO Xiao  SHEN Xu-Zhang  WEI Cong-Xin  LIU Xu-Zhou  WANG Ya-Hong  SUN Dian-Feng  GUO Ying-Xia  YIN Liang
Institution:1. Department of Mechanics, School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China;2. Lanzhou Institute of Seismology, China Earthquake Administration, Lanzhou 730000, China;3. Institute of Geophysics, CEA, Beijing 100081, China
Abstract:We obtained travel-time variations of Pg and Sg phases of active-source seismic data by superimposing multiple excitation data of different time periods, which were recorded in the Qilian Mountains. We analyzed the travel-time of the stations near the epicenters before and after the Qilian MS5.3 on November 23, 2015 and Menyuan MS6.4 on January 21,2016, and found obvious travel-time change of the phase. We speculated that this abnormal change is due to variation of the velocity of the source regions. This observation indicates that the active source method may become a new approach to earthquake prediction.
Keywords:Air-gun source  Before and after the earthquakes  Seismic travel-time variation  Earthquake prediction
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