2017年恰帕斯地震后北美网络中地震引起的全球导航卫星系统台站运动的检测和分析

IF 2.1 3区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS
Martin J. Fuchs, Moritz Rexer, Florian Schaider
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引用次数: 1

摘要

2017年恰帕斯地震矩震级Mw = 8.2,引起了地震诱发的地表运动,该地震已在全球范围内使用宽带地震仪进行了很好的记录和分析。相比之下,全球导航卫星系统(GNSS)以厘米精度测量的绝对接收器位置已被少量用于地震波分析。我们表明,位于北美的GNSS站位移测量可以通过GNSS网络检测到2017年恰帕斯地震的行进地震表面波,单站精确点定位(PPP)测量精度为1 - 2厘米,评估1 Hz数据。我们发现,网络数据在时间滤波水平位移数据中显示的总振幅高达5厘米,这与宽带地震仪的绝对测量结果很好地吻合。多星座(主要是GPS和GLONASS) GNSS测量对地震表面波最敏感,例如由FTAN(频率时间分析)确定的20 - 35s频率范围内的Love波和Rayleigh波分量给出,其中Rayleigh分量主导测量的GNSS信号。我们提供了相速度和震中位置的估计,由相互关联程序确定,并在与最先进的地震模型比较的框架内评估其准确性。因此GNSS站数据在垂直位移分量中存在双测量噪声,导致信噪比较低,无法进行压力波分析。虽然推导出的相速度在标准偏差上具有典型的200米/秒的不确定性,这似乎不适合单个站的地球物理解释,但它们可能适用于大型和密集的GNSS网络(空间距离<25公里)。确定震源位置是可能的,甚至提供了提供海啸预警的能力。因此,我们看到GNSS网络站数据可能是一种互补和独立的观测类型-在建立良好的检波器或加速度计测量之前-这适用于地震波探测和分析,尽管精度有限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection and analysis of seismic induced GNSS station motion in a North American network following the 2017 Chiapas earthquake

The 2017 Chiapas earthquake with moment magnitude Mw = 8.2, caused seismic induced surface motion which has been well recorded and analyzed globally using broadband seismometers. In contrast, Global Navigation Satellite System (GNSS) measurements of absolute receiver positions at cm accuracy have been marginally used for seismic wave analysis. We show that GNSS station displacement measurements, located in North America, can detect traveling seismic surface waves through a GNSS network for the 2017 Chiapas earthquake with a single station precise point positioning (PPP) measurement accuracy of 1–2 cm, evaluating 1 Hz data. We found that the network data show a total amplitude in temporal filtered horizontal displacement data of up to 5 cm, which is in good agreement with absolute measurements of a broadband seismometer. The multi constellation (primarily GPS and GLONASS) GNSS measurements are most sensitive to seismic surface waves such as e.g. given by Love and Rayleigh wave components in the frequency range of 20–35 s determined by FTAN (Frequency Time Analysis) where the Rayleigh component dominates the measured GNSS signals. We provide estimates of phase velocities and epicenter location determined by a cross-correlation procedure and evaluate its accuracy within the framework of a comparison to state-of-the-art seismic models. Hereby GNSS station data suffer from double measurement noise in the vertical displacement component, which results in a low signal to noise ratio that deny proper pressure wave analysis. While the derived phase velocities have typical uncertainties of 200 m/s in standard deviation, which may seem inappropriate for geophysical interpretation of a single station they might be appropriate in a large and dense GNSS network (spatial distance < 25 km). Determination of the seismic source location is possible and even offers the ability to provide tsunami early warning. Consequently, we see GNSS network station data may be a complementary and independent observation type – prior to well established geophone or accelerometer measurements – which is suited for seismic wave detection and analysis, although limited in accuracy.

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来源期刊
Journal of Geodynamics
Journal of Geodynamics 地学-地球化学与地球物理
CiteScore
4.60
自引率
0.00%
发文量
21
审稿时长
6-12 weeks
期刊介绍: The Journal of Geodynamics is an international and interdisciplinary forum for the publication of results and discussions of solid earth research in geodetic, geophysical, geological and geochemical geodynamics, with special emphasis on the large scale processes involved.
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