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噪声互相关成像方法在浅层结构勘查研究现状及展望
引用本文:罗磊,梁锋,付光明,罗凡,陶鑫.噪声互相关成像方法在浅层结构勘查研究现状及展望[J].地质找矿论丛,2019,34(1):140-144.
作者姓名:罗磊  梁锋  付光明  罗凡  陶鑫
作者单位:东华理工大学地球物理与测控技术学院,南昌330013;中国地质科学院矿产资源研究所,国土资源部成矿作用与资源评价重点实验室,北京100037;中国地质科学院地球深部探测中心,北京100037;中国地质科学院矿产资源研究所,国土资源部成矿作用与资源评价重点实验室,北京100037;中国地质科学院地球深部探测中心,北京100037
基金项目:"上海济南等典型城市地下空间开发利用综合地质调查"项目(编号:DD20179611)、"雄安新区深部三维地质结构探测"项目(编号:DD20189132)、国家重点研发计划课题(编号:2016YFC0600209)、中国地质科学院基本科研业务项目(编号:K1616)联合资助。
摘    要:近年来随着背景噪声成像方法逐渐趋于成熟,随着研究理论的深入,被众多学者应用于地球深部速度结构研究中,且已取得较好的研究成果。在浅层结构研究中,获得更多的浅表物性信息将极大的提升对浅层结构的认识。噪声互相关成像方法所获得横波速度信息,对地下断层、空洞、溶洞等速度差异较大的地下结构有效识别,将有助于我们对地震等地质灾害做出合理的预防。本文意在通过噪声成像近年来的研究现状,尤其是浅层结构勘查应用(如城市地下结构、矿产、断层等),介绍噪声成像的发展背景,数据处理特点,综述其在浅层结构勘查方面的应用及可靠性,探讨其技术方法的完善,以获得浅层精细3D或4D结构图。

关 键 词:背景噪声成像  互相关  横波速度  浅层结构  城市地下结构
收稿时间:2018/10/22 0:00:00
修稿时间:2018/11/23 0:00:00

Current status and prospects of noise correlation imaging method in shallow structure exploration
LUO Lei,LIANG Feng,FU Guangming,LUO Fan and TAO Xin.Current status and prospects of noise correlation imaging method in shallow structure exploration[J].Contributions to Geology and Mineral Resources Research,2019,34(1):140-144.
Authors:LUO Lei  LIANG Feng  FU Guangming  LUO Fan and TAO Xin
Institution:School of Geophysics and Measurement-control Technology, East China University of Technology, Nanchang 330013, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;China Deep Exploration Center, Chinese Academy of Geological Sciences, Beijing 100037, China,MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;China Deep Exploration Center, Chinese Academy of Geological Sciences, Beijing 100037, China,School of Geophysics and Measurement-control Technology, East China University of Technology, Nanchang 330013, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;China Deep Exploration Center, Chinese Academy of Geological Sciences, Beijing 100037, China,School of Geophysics and Measurement-control Technology, East China University of Technology, Nanchang 330013, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;China Deep Exploration Center, Chinese Academy of Geological Sciences, Beijing 100037, China and School of Geophysics and Measurement-control Technology, East China University of Technology, Nanchang 330013, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;China Deep Exploration Center, Chinese Academy of Geological Sciences, Beijing 100037, China
Abstract:In recent years background noise imaging methods have gradually matured. With the deepening of research theories many scholars have applied them to study of the deep velocity structure of the Earth, and have achieved good results. More shallow physical information obtained in the study of shallow structures will greatly enhance the understanding of shallow structures. The shear wave velocity information obtained by the noise cross-correlation imaging method can effectively identify underground structures with large differences in velocity such as underground faults, voids and caves, which will help us to prevent the geological disasters such as earthquakes. This paper intends to introduce the research status of noise imaging in recent years, especially shallow structure exploration applications (such as urban underground structures, minerals, faults, etc.), introduce the development background of noise imaging, data processing characteristics, and summarize its exploration in shallow structure. Application and reliability, explore the perfection of the technical methods to obtain shallow fine 3D or 4D structural drawings.
Keywords:ambient seismic noise  cross-correlation  shear wave velocity  shallow structure  urban underground structur
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