摘要
浅层面波勘探主要基于单分量地震观测数据,多分量数据往往被忽略.三分量检波器可以接收瑞雷波的垂向分量、径向分量以及勒夫波信息.瑞雷波的垂向和径向分量信息联合利用可以避免模式误判,提高频散测量精度和横波速度的反演精度.在被动源面波频散测量中,瑞雷波的水平分量和垂直分量的相位相关性及振幅谱比(即椭圆极化率)可以用于确定噪声源方位,提高噪声面波频散成像的精度和效率.联合利用瑞雷波和勒夫波信息有助于提高浅地表介质横波速度估计精度,同时可以获取径向各向异性特性.本文综述利用多分量地震数据进行浅地表主、被动源面波高精度成像的最新研究进展.
High-frequency surface-wave analysis methods have been effectively and widely used to determine near-surface shear(S)wave velocities from single-component seismic data.Multicomponent surface waves can be analyzed with three-component seismic data.Rayleigh-wave spectra extracted from vertical and radial components contain different dispersion energy.By joint analysis of vertical and radial components,the extracted Rayleigh-wave dispersion curves will be expanded in a wider frequency range,which can provide more information for the inversions.The polarization of Rayleigh waves can be used to capture the ambient noise source directivity and provide constraints on the estimation of S-wave velocity.Love waves extracted from the horizontal-component data can be jointly analyzed with Rayleigh waves to obtain both S-wave velocities and the radial anisotropy.This paper gives an overview of the recent developments on using multicomponent active and passive surface waves for near-surface characterization with a high accuracy.
作者
宓彬彬
洪雨
夏江海
MI BinBin;HONG Yu;XIA JiangHai(Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province,School of Earth Sciences,Zhejiang University,Hangzhou 310058,China)
出处
《地球物理学报》
北大核心
2025年第8期2825-2837,共13页
Chinese Journal of Geophysics
基金
国家自然科学基金项目(42374177)
中国科学院学部咨询评议项目(2022-ZW11-A-0024)共同资助.
关键词
多分量面波
极化分析
被动源地震数据筛选
横波速度
径向各向异性
Multicomponent surface waves
Polarization analysis
Passive seismic data selection
S-wave velocities
Radial anisotropy
