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Eikonal Tomography of Short-period Ambient Noise on a Seismic Array in Karamay

机译:克拉玛依地区短时环境噪声在地震阵列上的精细层析成像

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摘要

Eikonal tomography is a new array-based method applying eikonal equation and accounting for bent rays.It becomes one of the most effective methods to reveal shallow earth structure.Under the premise of high-frequency approximation,the eikonal equation is derived by neglecting the amplitude term of Helmholtz equation.New processing techniques,including the phase front tracking,computation of gradients and averaging over phase velocities at all azimuths,have been used in place of the traditional methods such as the ray tracing and matrix construction and inversion.There are three significant improvements of the method as follows: firstly,the meaningful uncertainty information for both the isotropic and anisotropic phase velocity,secondly,more reliable information about azimuthal anisotropy without assuming its functional form,and thirdly,no requirement of a priori information about the medium.According to the eikonal equation,the gradient is the direction of propagation of waves,which is equivalent to use of off-great-circle geometrical rays and avoids the iterative computation.In this study,A dense seismic array recording ambient noise data has been deployed in Karamay,Xinjiang.The array consists of 35 broadband seismometers with averaging spacing near1Km.We use cross-correlation of two months of ambient noise data to acquire 890 empirical Green's functions.For each station pair,the phase velocity dispersion between 0.6 to 6Hz is determined by frequency time analysis (FTAN).We apply the eikonal tomography to compute the isotropic phase velocity and the phase speed uncertainty at each grid node in the survey region.Our results show that phase velocities are a clear reflection of geological feature such as two ore bodies separating in shallow layer and linking up in deep structure.
机译:Eikonal层析成像是一种新的基于阵列的方法,运用了eikonal方程并考虑了弯曲射线,它成为揭示浅层地球结构的最有效方法之一。在高频近似的前提下,eikonal方程是通过忽略振幅得出的已经使用了包括相位跟踪,梯度计算以及在所有方位角上对相速度进行平均在内的新处理技术来代替射线跟踪,矩阵构造和反演等传统方法。共有三种该方法的重要改进如下:首先,对于各向同性和各向异性相速度都有意义的不确定性信息;其次,在不假设其功能形式的情况下,关于方位各向异性的更可靠的信息;第三,不需要关于介质的先验信息。根据方程式,梯度是波的传播方向,即本研究在新疆克拉玛依市部署了一个记录环境噪声数据的密集地震阵列,该阵列由35个宽带地震仪组成,平均间隔近1Km。使用两个月的环境噪声数据的互相关来获得890个格林经验函数。对于每个站对,通过频率时间分析(FTAN)确定0.6至6Hz之间的相速度散。研究结果表明,相速度是地质特征的清晰反映,例如两个矿体在浅层中分离并在深部结构中相连。

著录项

  • 来源
  • 会议地点 Xian(CN)
  • 作者

    Hongri Xu; Chao Chen; Yinhe Luo;

  • 作者单位

    Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, Hubei 430074, China;

    Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, Hubei 430074, China;

    Subsurface Multi-scale Imaging Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, Hubei, 430074, China;

    Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, Hubei 430074, China;

    Subsurface Multi-scale Imaging Laboratory, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, Hubei, 430074, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境生物学;
  • 关键词

    eikonal tomography; phase velocity; phase speed uncertainty; Karamay;

    机译:体层摄影术相速度相速度不确定度;克拉玛依;
  • 入库时间 2022-08-26 13:57:13

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