|本期目录/Table of Contents|

[1]张潜,尹耿,王玉石,等.射线追踪方法定位近震震源空间位置*[J].地震研究,2017,40(02):203-210.
 ZHANG Qian,YIN Geng,WANG Yushi,et al.Near Earthquake Locating Based on Ray Tracing Method[J].Journal of Seismological Research,2017,40(02):203-210.
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射线追踪方法定位近震震源空间位置*(PDF/HTML)

《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:
40
期数:
2017年02
页码:
203-210
栏目:
出版日期:
2017-04-23

文章信息/Info

Title:
Near Earthquake Locating Based on Ray Tracing Method
作者:
张潜12尹耿2王玉石3林国良2
(1.中国科学技术大学,安徽 合肥 230026; 2.云南省地震局,云南 昆明 650224; 3.中国地震局地球物理研究所,北京 100081)
Author(s):
ZHANG Qian12YIN Geng2WANG Yushi3LIN Guoliang2
(1. University of Science and Technology of China,Hefei 230026,Anhui,China)(2. Earthquake Administration of Yunnan Province,Kunming 650224,Yunnan,China)(3. Institute of Geophysics,CEA,Beijing 100081,China)
关键词:
地震定位 无速度结构 射线理论 P波偏振
Keywords:
earthquake locating without velocity structure ray theory P wave polarization
分类号:
P315.3
DOI:
-
摘要:
介绍了一种基于地震波射线理论、不需要先验速度结构的定位震源空间位置的方法——射线追踪法。该方法利用地震射线会反向汇聚到震源的几何性质,对地面介质分层,并用网格搜索反演方法计算分层速度参数,进而确定震源位置; 然后逐步增加分层,重复前面的步骤,对震源位置进行校正,最终得到一个较为精确的定位结果。通过虚拟事件对该方法进行了测试,测试结果表明,该方法理论上能够用于近震空间位置的定位; 使用该方法对一个真实震侧进行定位,并和云南地震台网的定位的结果进行了比较,两者较为接近。
Abstract:
We demonstrate a ray tracing method for earthquake locating without prior velocity structure,which is based on ray theory. As the seismic ray focus on the hypocenter,first we divide the layer into sub-layers,and compute the velocities of the sub-layers and the location of the hypocenter by grid-search; then we increase the number of the sub-layers step by step,and repeat the process before correcting the hypocenter location; at last,we get a more accurate result. Simulative data have been used to test the method,the results show that,this method can be used for earthquake location in theory. We use this method to locate a natural earthquake. In contrast with the location result of Yunnan Seismic Network,we find the two results are close.

参考文献/References:


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备注/Memo

备注/Memo:
收稿日期:2016-04-14
基金项目:国家自然科学基金——基于竖向台阵记录数据的强震作用下土非线性动力特征的实证研究(51578514)及云南省地震局青年基金资助课题——云南预警台网台站分布研究(201605)联合资助.

更新日期/Last Update: 2017-06-10