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短周期密集台阵被动源地震探测技术研究进展
引用本文:张明辉,武振波,马立雪,郑凡,解桐桐,郑孟杰,侯爵,刘有山,张永谦,徐涛,白志明.短周期密集台阵被动源地震探测技术研究进展[J].地球物理学进展,2020(2):495-511.
作者姓名:张明辉  武振波  马立雪  郑凡  解桐桐  郑孟杰  侯爵  刘有山  张永谦  徐涛  白志明
作者单位:滨州学院;成都理工大学;中国科学院地质与地球物理研究所;中国科学院大学;中国地震局地球物理研究所;中国地质科学院;中国科学院青藏高原地球科学卓越创新中心
基金项目:国家重点研发计划“深地资源开采”重点专项(2016YFC0600101,2016YFC0600302,2017YFC0601201);国家自然科学基金(41674064,41704042,41804060,41874065,41774097);滨州学院博士基金(2018Y15)联合资助.
摘    要:近十年来,短周期密集台阵被动源探测技术日益成长为国内外深部结构探测领域的一项重要手段.该技术相较于传统宽频带地震探测具有高分辨、省时省钱、绿色环保等优点.尽管低频信号不足,对岩石圈地幔以深结构探测能力有限,但密集的台站间距使得地壳精细结构成像成为可能;台阵下方不同方位射线形成密集的交叉覆盖,从而可通过反演和叠加偏移等手段获取稳定的壳幔结构图像.因此,短周期密集台阵探测技术已广泛应用于深部速度和界面结构成像,以及矿产资源勘查、火山活动监测、微震精定位、发震断层的几何学和运动学特征研究等多种不同领域.本文系统的总结了短周期密集台阵在地壳结构研究和微震定位检测等方面的研究进展.展望未来,以科学问题为导向,利用天然地震及背景噪声观测、重力测量、InSAR数据、GPS测量等多种地球物理数据,开展联合反演和成像,并提取研究对象的多属性特征正日益成为减少解的非唯一性、揭示地质体真实赋存状态的有效途径;该领域方法技术的迅速提升有望大大促进地震学及地球动力学研究,在深部结构成像、矿产资源勘查等领域具有广阔应用前景.

关 键 词:短周期密集台阵  地壳精细结构  断裂带  微震定位检测

Research progress of passive source detection technology based on short-period dense seismic array
ZHANG Ming-hui,WU Zhen-bo,MA Li-xue,ZHENG Fan,XIE Tong-tong,ZHENG Meng-jie,HOU Jue,LIU You-shan,ZHANG Yong-qian,XU Tao,BAI Zhi-ming.Research progress of passive source detection technology based on short-period dense seismic array[J].Progress in Geophysics,2020(2):495-511.
Authors:ZHANG Ming-hui  WU Zhen-bo  MA Li-xue  ZHENG Fan  XIE Tong-tong  ZHENG Meng-jie  HOU Jue  LIU You-shan  ZHANG Yong-qian  XU Tao  BAI Zhi-ming
Institution:(Institute of Information Engineering,Binzhou University,Binzhou 256600,China;College of Geophysics,Chengdu University of Technology,Chengdu 610059,China;State Key Laboratory of Lithospheric Evolution,Institute of Geology and Geophysics,Chinese Academy of Science,Beijing 100029,China;University of Chinese Academy of Sciences,Beijing 100049,China;Institute of Geophysics,China Earthquake Administration,Beijing 100081,China;Chinese Academy of Geological Sciences,Beijing 100037,China;CAS Center for Excellence in Tibetan Plateau Earth Science,Beijing 100101,China)
Abstract:In the past decade,the passive source detection technology based on short period dense array has increasingly become a domestic and international significant tool in the field of deep structure exploration.Compared with the traditional broadband seismic method,this technology has the advantages of high resolution,time and money saving,and environment protection.Despite the low-frequency signal is too weak to detect the deep structure of the lithospheric mantle the dense station distribution makes it possible to image the fine structure of the crust.Furthermore,take advantage of the dense ray crossing coverage from different directions beneath the array,the stable image of crust-mantle structure can be imaged by inversion and stack migration.Therefore,the short period dense array detection technology has been widely used in different fields,such as imaging of deep velocity and interface structure,mineral resources exploration,volcanic activity monitoring,microseismic high-precision positioning,and geometry and kinematic characteristics discussion of seismogenic faults.The paper systematically summarizes the research progress of short period dense array in the field of imaging study on crustal structure and microseismic location monitoring.Looking into to the future and guided by scientific questions,joint inversion and imaging could be carried out using a variety of geophysical data such as natural earthquake,ambient noise,gravity,InSAR,GPS and magnetotelluric measurements so as to,acquire the multi-attribute characteristics of the interested targets,and this method is increasingly developing to an effective way to reduce the non uniqueness of solutions and reveal the real state of geological bodies.state of geological bodies. The rapid development of the detectionmethods in this area is expected to greatly promote the research ofseismology and geodynamics,and has a broad application prospectin the fields of deep structure imaging and mineral resourcesexploration.
Keywords:Short period dense array  Crustal fine structure  Fault belt  Microseismic location monitoring
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