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Seismological Processing of Six Degree-of-Freedom Ground-Motion Data

机译：六自由度地面运动数据的地震处理

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摘要

Recent progress in rotational sensor technology has made it possible to directly measure rotational ground-motion induced by seismic waves. When combined with conventional inertial seismometer recordings, the new sensors allow one to locally observe six degrees of freedom (6DOF) of ground-motion, composed of three orthogonal components of translational motion and three orthogonal components of rotational motion. The applications of such 6DOF measurements are manifold—ranging from wavefield characterization, separation, and reconstruction to the reduction of non-uniqueness in seismic inverse problems—and have the potential to revolutionize the way seismic data are acquired and processed. However, the seismological community has yet to embrace rotational ground-motion as a new observable. The aim of this paper is to give a high-level introduction into the field of 6DOF seismology using illustrative examples and to summarize recent progress made in this relatively young field. It is intended for readers with a general background in seismology. In order to illustrate the seismological value of rotational ground-motion data, we provide the first-ever 6DOF processing example of a teleseismic earthquake recorded on a multicomponent ring laser observatory and demonstrate how wave parameters (phase velocity, propagation direction, and ellipticity angle) and wave types of multiple phases can be automatically estimated using single-station 6DOF processing tools. Python codes to reproduce this processing example are provided in an accompanying Jupyter notebook.
机译：旋转传感器技术的最新进展使得可以直接测量由地震波引起的旋转地运动。当与传统的惯性地震仪记录结合时，新传感器允许局部地观察六个自由度（6dof）的地运动，由三个正交组件的平移运动和三个正交组件的旋转运动组成。这种6dof测量的应用是从波场表征，分离和重建的歧管范围，从而减少地震逆问题的非唯一性 - 并且具有彻底旋转地震数据的潜力，并加工地震数据。然而，地震界尚未将旋转地面运动带到一种新的可观察者。本文的目的是利用说明性示例给出6DOF地震学领域的高水平介绍，并总结了在这个相对年轻的领域的最新进展。它适用于读者有一般背景的地震学。为了说明旋转地面运动数据的地震值，我们提供记录在多组分环激光天文台上的Telesmicic地震的第一个6dof处理示例，并演示波参数（相速度，传播方向和椭圆角度）可以使用单站6dof处理工具自动估计多个阶段的波形。用于再现该处理示例的Python码在伴随的Jupyter笔记本中提供。

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