|本期目录/Table of Contents|

[1]陈玉鑫,唐明帅.地震背景噪声互相关方法应用研究综述[J].地震研究,2021,(04):594-606.
 CHEN Yuxin,TANG Mingshuai.Review of the Application of Seismic Ambient Noise Cross-correlation Method[J].Journal of Seismological Research,2021,(04):594-606.
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地震背景噪声互相关方法应用研究综述(PDF/HTML)

《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:
期数:
2021年04期
页码:
594-606
栏目:
出版日期:
2021-11-10

文章信息/Info

Title:
Review of the Application of Seismic Ambient Noise Cross-correlation Method
作者:
陈玉鑫1唐明帅23
(1.中国地震局兰州地震研究所,甘肃 兰州 730000; 2.新疆帕米尔陆内俯冲国家野外科学观测研究站,新疆 乌鲁木齐 830011; 3.中国地震局乌鲁木齐中亚地震研究所,新疆 乌鲁木齐 830011)
Author(s):
CHEN Yuxin1TANG Mingshuai23
(1.Lanzhou Institute of Seismology,China Earthquake Administration,Lanzhou 730000,Gansu,China;2.Xinjiang Pamir Intracontinental Subduction National Field Observation and Research Station,Urumqi 830011,Xinjiang,China;3.Urumqi Institute of Central Asia Earthquake,China Earthquake Administration,Urumqi 830011,Xinjiang,China)
关键词:
背景噪声 格林函数 频散曲线 层析成像 介质变化
Keywords:
ambient noise Green's function dispersion curves tomography imaging medium change
分类号:
P315.3
DOI:
-
摘要:
利用地震台记录的背景噪声数据,进行台站对之间数据互相关以获得反映地下介质信息的格林函数,是目前地震学领域理论研究和实际应用方面的前沿和热点。首先介绍了噪声互相关应用的发展历史,之后对其在面波成像、体波信号提取与体波成像、监测地下介质波速变化与衰减、地震定位、噪声源分析与时移校正等多个方面的应用进行了阐述,最后针对目前背景噪声互相关应用的发展进行了分析与讨论。
Abstract:
Obtaining Green's function,which can reflect the information about the underground media by cross correlating the ambient noise data recorded by seismic stations,is the frontier and hot spot of theoretical research and practical application in the field of seismology.This paper firstly introduces the evolution of the noise cross-correlation application,and then expounds its application to surface-wave tomography,body-wave signal extraction and body-wave imaging,monitoring of variation and attenuation of the wave-velocity of underground media,earthquake location,analysis of noise source,and time-shifting correction.Finally,the prospect of the application of ambient noise cross-correlation is discussed.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2021-04-12
基金项目:国家自然科学基金项目(41674063)和新疆维吾尔自治区自然科学基金(2021D01A131)联合资助.

更新日期/Last Update: 2021-11-10