A new tightly coupled method for high-rate seismogeodesy: a shake table experiment and application to the 2016 Mw 6.6 central Italy earthquake

Author:

Fang Rongxin1,Zheng Jiawei1,Shu Yuanming23ORCID,Lv Huanghui1,Shi Chuang4,Liu Jingnan1

Affiliation:

1. GNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, Hubei, China

2. College of Marine Geosciences, Ocean University of China, 238 Songling Road, Qingdao 266100, Shandong, China

3. Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ministry of Education, 238 Songling Road, Qingdao 266100, Shandong, China

4. School of Electronic and Information Engineering, Beihang University, 37 Xueyuan Road, Beijing 100083, China

Abstract

SUMMARY High-rate global navigation satellite system (GNSS) has emerged as an effective method to recover seismic waveforms without saturation and drifts, but it has the limitation of relatively lower sampling rate and higher noise level compared to seismic instruments. In this study, we present a new seismogeodetic method by integrating GNSS and accelerometer data to obtain optimal real-time seismic waveforms. Unlike traditional integration methods based on GNSS techniques of relative positioning or precise point positioning, the new method uses a GNSS time difference technique and inherits its unique advantage in real-time and high-accuracy velocity solutions. Furthermore, by incorporating the tightly coupled structure, it can overcome the cascading problem and provide more accurate and robust waveforms compared to its loosely coupled counterpart. The performance of this method is first compared with the traditional loosely coupled approach in challenging environments through a set of shake table experiments. With three GNSS satellites, this approach method can improve the accuracy of velocities and displacements by 42 and 87 per cent, respectively. With four or more GNSS satellites, the average improvements of the method reach 25 and 41 per cent for the velocities and displacements, respectively. We then validate the full performances of the method through simulated shake table experiments and collocated GNSS and accelerometer data during the 2016 Mw 6.6 central Italy earthquake. The simulated and real-event analyses demonstrate that the new integration method can take full advantage of the complementary characteristics of GNSS and accelerometer sensors. By providing more accurate and broad-band velocity and displacement waveforms in a real-time or near-real-time manner, this method is quite promising in earthquake early warning and rapid source inversion.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Oxford University Press (OUP)

Subject

Geochemistry and Petrology,Geophysics

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