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Real-Time Seismic Waveforms Estimation of the 2019 MW=6.4 and Mw=7.1 California Earthquakes With High-Rate Multi-GNSS Observations
Su, Ke1,2; Jin, Shuanggen1,3
2020
Source PublicationIEEE ACCESS
ISSN2169-3536
Volume8Pages:85411-85420
AbstractGlobal Navigation Satellite System (GNSS) is recognized as an effective tool to retrieve high-precision seismic displacements, which has been widely used in earthquake early warning systems such as magnitude estimation and fault slip inversion. In this study, we present two multi-GNSS positioning models for rapidly capturing real-time coseismic displacements using the raw pseudorange, carrier phase and Doppler measurements, called constant velocity (CV) and constant acceleration (CA) dynamic precise point positioning (PPP) models, respectively. The proposed methods are validated with the datasets collected during the 2019 July 4 M-w 6.4 and July 6 M-w 7.1 earthquakes in real-time scenarios. Results show that the two models can provide accurate displacement waveforms with the accuracy of few centimeters. Besides, the multi-GNSS integration can significantly improve the model performances compared with GPS-only solutions in both time- and frequency- domains. The dynamic PPP models can also reliably recover the moment magnitudes and permanent seismic displacements, indicating that the methods have the potential to benefit for earthquake early warning and rapid geohazard assessment.
KeywordDynamic PPP multi-GNSS magnitude permanent displacements positioning precision
Funding OrganizationNational Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST
DOI10.1109/ACCESS.2020.2992193
WOS KeywordGPS SEISMOLOGY ; PRECISE ; DISPLACEMENT ; PPP ; GLONASS
Language英语
Funding ProjectNational Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG)[41761134092] ; Startup Foundation for Introducing Talent of NUIST[2243141801036]
Funding OrganizationNational Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; National Natural Science Foundation of China-German Science Foundation Project (NSFC-DFG) ; Startup Foundation for Introducing Talent of NUIST ; Startup Foundation for Introducing Talent of NUIST
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000549851900011
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/82661
Collection中国科学院国家天文台
Corresponding AuthorJin, Shuanggen
Affiliation1.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China
Recommended Citation
GB/T 7714
Su, Ke,Jin, Shuanggen. Real-Time Seismic Waveforms Estimation of the 2019 MW=6.4 and Mw=7.1 California Earthquakes With High-Rate Multi-GNSS Observations[J]. IEEE ACCESS,2020,8:85411-85420.
APA Su, Ke,&Jin, Shuanggen.(2020).Real-Time Seismic Waveforms Estimation of the 2019 MW=6.4 and Mw=7.1 California Earthquakes With High-Rate Multi-GNSS Observations.IEEE ACCESS,8,85411-85420.
MLA Su, Ke,et al."Real-Time Seismic Waveforms Estimation of the 2019 MW=6.4 and Mw=7.1 California Earthquakes With High-Rate Multi-GNSS Observations".IEEE ACCESS 8(2020):85411-85420.
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