Real‐Time Magnitude Characterization of Large Earthquakes Using the Predominant Period Derived From 1 Hz GPS Data

Earthquake early warning (EEW) systems’ performance is driven by the trade-off between the need for a rapid alert and the accuracy of each solution. A challenge for many EEW systems has been the magnitude saturation for large events (Mw>7) and the resulting underestimation of seismic moment magnitude. In this study, we test the performance of high-rate (1Hz) GPS, based on seven seismic events, to evaluate whether long-period ground motions can be measured well enough to infer reliably earthquake predominant periods. We show that high-rate GPS data allow the computation of a GPS-based predominant period (τg) to estimate lower bounds for the magnitude of earthquakes and distinguish between large (MW>7) and great (MW>8) events and thus extend the capability of EEW systems for larger events. It is also identified the impact of the different value of the smoothing factor α on the τg results and how the sampling rate and the computation process differentiates τg from the commonly used τp.

[1]  Fanis Moschas,et al.  Strong motion displacement waveforms using 10‐Hz precise point positioning GPS: an assessment based on free oscillation experiments , 2014 .

[2]  U. Meier,et al.  Detecting seasonal variations in seismic velocities within Los Angeles basin from correlations of ambient seismic noise , 2008 .

[3]  Naoyasu Iwata,et al.  Improvement of back-azimuth estimation in real-time by using a single station record , 2012, Earth, Planets and Space.

[4]  Hiromitsu Nakamura,et al.  Deployment of New Strong Motion Seismographs of K-NET and KiK-net , 2011 .

[5]  Jianghui Geng,et al.  Earthquake magnitude scaling using seismogeodetic data , 2013 .

[6]  Jianghui Geng,et al.  Erratum to: Triple-frequency GPS precise point positioning with rapid ambiguity resolution , 2013, Journal of Geodesy.

[7]  Li Zhao,et al.  Magnitude estimation using the first three seconds P‐wave amplitude in earthquake early warning , 2006 .

[8]  G. Gendt,et al.  Resolution of GPS carrier-phase ambiguities in Precise Point Positioning (PPP) with daily observations , 2008 .

[9]  Markus Rothacher,et al.  Assessment of high-rate GPS using a single-axis shake table , 2012, Journal of Geodesy.

[10]  M. Meindl,et al.  GNSS processing at CODE: status report , 2009 .

[11]  S. Stiros,et al.  Potential of Global Positioning System (GPS) to measure frequencies of oscillations of engineering structures , 2008 .

[12]  Augusto Mazzoni,et al.  Global Navigation Satellite Systems Seismology for the 2012 Mw 6.1 Emilia Earthquake: : Exploiting the VADASE Algorithm , 2014 .

[13]  Kristine M. Larson,et al.  Modeling the rupture process of the 2003 September 25 Tokachi‐Oki (Hokkaido) earthquake using 1‐Hz GPS data , 2004 .

[14]  Richard M. Allen,et al.  The deterministic nature of earthquake rupture , 2005, Nature.

[15]  Qile Zhao,et al.  Real-time detection and repair of cycle slips in triple-frequency GNSS measurements , 2015, GPS Solutions.

[16]  Göran Ekström,et al.  The global CMT project 2004–2010: Centroid-moment tensors for 13,017 earthquakes , 2012 .

[17]  G. Marsaglia,et al.  Evaluating Kolmogorov's distribution , 2003 .

[18]  Y. Bock,et al.  Triple-frequency GPS precise point positioning with rapid ambiguity resolution , 2013, Journal of Geodesy.

[19]  Christian Rocken,et al.  A New Real-Time Global GPS and GLONASS Precise Positioning Correction Service: Apex , 2011 .

[20]  Daniel E. McNamara,et al.  Ambient Noise Levels in the Continental United States , 2004 .

[21]  T. Herring,et al.  Introduction to GAMIT/GLOBK , 2006 .

[22]  Stathis C. Stiros,et al.  Errors in velocities and displacements deduced from accelerographs: An approach based on the theory of error propagation , 2008 .

[23]  H. Kanamori,et al.  The Potential for Earthquake Early Warning in Southern California , 2003, Science.

[24]  Yehuda Bock,et al.  On robust and reliable automated baseline corrections for strong motion seismology , 2013 .

[25]  M. Rothacher,et al.  Long-period surface motion of the multi-patch Mw9.0 Tohoku-Oki earthquake , 2014 .

[26]  τ c for magnitude estimation for Earthquake Early Warning , 2011 .

[27]  Philip J. Maechling,et al.  CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California , 2014 .

[28]  Barbara Romanowicz,et al.  A study of the relation between ocean storms and the Earth's hum , 2006 .

[29]  Aldo Zollo,et al.  A P wave‐based, on‐site method for earthquake early warning , 2015 .

[30]  M. Rothacher,et al.  Performance of high-rate GPS waveforms at long periods: Moment tensor inversion of the 2003 Mw 8.3 Tokachi-Oki earthquake , 2017 .

[31]  Aldo Zollo,et al.  Earthquake early warning for southern Iberia: A P wave threshold‐based approach , 2013 .

[32]  P. Lognonné,et al.  New approach to detect seismic surface waves in 1Hz-sampled GPS time series , 2011, Scientific reports.

[33]  Tomokazu Kobayashi,et al.  Coseismic and postseismic slip of the 2011 magnitude-9 Tohoku-Oki earthquake , 2011, Nature.

[34]  Mitsuyuki Hoshiba,et al.  Outline of the 2011 off the Pacific coast of Tohoku Earthquake (Mw 9.0) —Earthquake Early Warning and observed seismic intensity— , 2011 .

[35]  Paul Tregoning,et al.  Empirical modelling of site-specific errors in continuous GPS data , 2014, Journal of Geodesy.

[36]  Initial 30 seconds of the 2011 off the Pacific coast of Tohoku Earthquake (Mw 9.0)—amplitude and τc for magnitude estimation for Earthquake Early Warning— , 2011 .

[37]  J. M. Espinosa-Aranda,et al.  The seismic alert system of Mexico (SASMEX): Progress and its current applications , 2011 .

[38]  Hiroo Kanamori,et al.  Real-Time Seismology and Earthquake Damage Mitigation , 2005 .

[39]  Gaetano Festa,et al.  An Integrated Regional and On-Site Earthquake Early Warning System for Southern Italy: Concepts, Methodologies and Performances , 2014 .

[40]  Charles R. Hutt,et al.  A Method to Establish Seismic Noise Baselines for Automated Station Assessment , 2009 .

[41]  C Almedal [When seconds count]. , 1976, Sykepleien.

[42]  A. Kim,et al.  GPS source solution of the 2004 Parkfield earthquake , 2014, Scientific Reports.

[43]  M. Rothacher,et al.  Consistency of PPP GPS and strong-motion records: case study of Mw9.0 Tohoku-Oki 2011 earthquake , 2014 .

[44]  R. Allen Seismic hazards: Seconds count. , 2013, Nature.

[45]  Marek Ziebart,et al.  Instantaneous Cycle Slip Detection, Code Multipath Mitigation and Improved Ionospheric Correction for Enhanced GPS Single-Frequency Positioning , 2012 .

[46]  T. Wright,et al.  Real‐time, reliable magnitudes for large earthquakes from 1 Hz GPS precise point positioning: The 2011 Tohoku‐Oki (Japan) earthquake , 2012 .

[47]  Barbara Romanowicz,et al.  Excitation of Earth's continuous free oscillations by atmosphere–ocean–seafloor coupling , 2004, Nature.

[48]  Jianghui Geng,et al.  Earthquake magnitude calculation without saturation from the scaling of peak ground displacement , 2015 .

[49]  S. Webb,et al.  The Earth's hum: the excitation of Earth normal modes by ocean waves , 2008 .

[50]  N. Smirnov Table for Estimating the Goodness of Fit of Empirical Distributions , 1948 .

[51]  Felipe Dimer de Oliveira Power of earthquake cluster detection tests , 2012 .

[52]  Yehuda Bock,et al.  Real-Time Strong-Motion Broadband Displacements from Collocated GPS and Accelerometers , 2011 .

[53]  Earth science: Is earthquake rupture deterministic? (Reply) , 2006, Nature.

[54]  Benjamin Edwards,et al.  The potential of high-rate GPS for strong ground motion assessment; AGU 2016 Fall Meeting , 2017 .

[55]  D. L. Anderson,et al.  Preliminary reference earth model , 1981 .

[56]  Richard B. Langley,et al.  Instantaneous Cycle‐Slip Correction for Real‐Time PPP Applications , 2010 .