scholarly journals How “good” are real-time ground motion predictions from Earthquake Early Warning systems?

2017 ◽  
Vol 122 (7) ◽  
pp. 5561-5577 ◽  
Author(s):  
Men-Andrin Meier
Keyword(s):  
Real Time ◽  
Ground Motion ◽  
Early Warning ◽  
Early Warning Systems ◽  
Earthquake Early Warning ◽  
Warning Systems ◽  
Earthquake Early Warning Systems

scholarly journals P-wave picking for earthquake early warning: Refinement of a T pd method

2021 ◽  
Author(s):  
Masumi Yamada ◽  
Jim Mori
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Arrival Time ◽  
Early Warning Systems ◽  
Earthquake Early Warning ◽  
P Wave ◽  
Warning Systems ◽  
Wave Detection ◽  
Earthquake Early Warning Systems ◽  
Wave Arrival

Summary Detecting P-wave onsets for on-line processing is an important component for real-time seismology. As earthquake early warning systems around the world come into operation, the importance of reliable P-wave detection has increased, since the accuracy of the earthquake information depends primarily on the quality of the detection. In addition to the accuracy of arrival time determination, the robustness in the presence of noise and the speed of detection are important factors in the methods used for the earthquake early warning. In this paper, we tried to improve the P-wave detection method designed for real-time processing of continuous waveforms. We used the new Tpd method, and proposed a refinement algorithm to determine the P-wave arrival time. Applying the refinement process substantially decreases the errors of the P-wave arrival time. Using 606 strong motion records of the 2011 Tohoku earthquake sequence to test the refinement methods, the median of the error was decreased from 0.15 s to 0.04 s. Only three P-wave arrivals were missed by the best threshold. Our results show that the Tpd method provides better accuracy for estimating the P-wave arrival time compared to the STA/LTA method. The Tpd method also shows better performance in detecting the P-wave arrivals of the target earthquakes in the presence of noise and coda of previous earthquakes. The Tpd method can be computed quickly so it would be suitable for the implementation in earthquake early warning systems.

REAL-TIME RISK ANALYSIS FOR HYBRID EARTHQUAKE EARLY WARNING SYSTEMS

2006 ◽  
Vol 10 (6) ◽  
pp. 867-885 ◽  
Author(s):  
IUNIO IERVOLINO ◽  
VINCENZO CONVERTITO ◽  
MASSIMILIANO GIORGIO ◽  
GAETANO MANFREDI∗ ◽  
ALDO ZOLLO
Keyword(s):  
Risk Analysis ◽  
Real Time ◽  
Early Warning ◽  
Early Warning Systems ◽  
Earthquake Early Warning ◽  
Warning Systems ◽  
Earthquake Early Warning Systems

scholarly journals How Often Can Earthquake Early Warning Systems Alert Sites With High‐Intensity Ground Motion?

2020 ◽  
Vol 125 (2) ◽  
Author(s):  
Men‐Andrin Meier ◽  
Yuki Kodera ◽  
Maren Böse ◽  
Angela Chung ◽  
Mitsuyuki Hoshiba ◽  
...  
Keyword(s):  
Ground Motion ◽  
Early Warning ◽  
High Intensity ◽  
Early Warning Systems ◽  
Earthquake Early Warning ◽  
Warning Systems ◽  
Earthquake Early Warning Systems

Off-Network Earthquake Location by Earthquake Early Warning Systems: Methodology and Validation

2021 ◽  
Author(s):  
Mark Netanel ◽  
Andreas Samuel Eisermann ◽  
Alon Ziv
Keyword(s):  
Early Warning ◽  
Early Warning Systems ◽  
S Phase ◽  
Earthquake Early Warning ◽  
Warning Systems ◽  
S Wave ◽  
Earthquake Early Warning Systems ◽  
Back Azimuth ◽  
Magnitude Determination ◽  
Epicenter Location

ABSTRACT Regional source-based earthquake early warning systems perform three consecutive tasks: (1) detection and epicenter location, (2) magnitude determination, and (3) ground-motion prediction. The correctness of the magnitude determination is contingent on that of the epicenter location, and the credibility of the ground-motion prediction depends on those of the epicenter location and the magnitude determination. Thus, robust epicenter location scheme is key for regional earthquake early warning systems. Available source-based systems yield acceptably accurate locations when the earthquakes occur inside the real-time seismic network, but they return erroneous results otherwise. In this study, a real-time algorithm that is intended as a supplement to an existing regional earthquake early warning systems is introduced with the sole objective of ameliorating its off-network location capacity. The new algorithm combines measurements from three or more network stations that are analyzed jointly using an array methodology to give the P-wave slowness vector and S-phase arrival time. Prior to the S-phase picking, the nonarrival of the S phase is used for determining a minimum epicentral distance. This estimate is updated repeatedly with elapsed time until the S phase is picked. Thus, the system timeliness is not compromised by waiting for the S-phase arrival. After the S wave is picked, an epicentral location can be determined using a single array by intersecting the back-azimuth beam with the S-minus-P annulus. When several arrays are assembled, the back azimuth and P and S picks from all arrays are combined to constrain the epicenter. The performance of the array processing for back azimuth and S-wave picking is assessed using a large number of accelerograms, recorded by nine strong motion sensors of the KiK-net seismic network in Japan. The nine stations are treated as three distinct seismic arrays, comprising three stations each. Good agreement is found between array-based and catalog-reported parameters. Finally, the advantage of the new array methodology with respect to alternative schemes for back azimuth and distance is demonstrated.

Performance of Earthquake Early Warning Systems during the 2016–2017 Mw 5–6.5 Central Italy Sequence

2017 ◽  
Vol 89 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Gaetano Festa ◽  
Matteo Picozzi ◽  
Alessandro Caruso ◽  
Simona Colombelli ◽  
Marco Cattaneo ◽  
...  
Keyword(s):  
Early Warning ◽  
Central Italy ◽  
Early Warning Systems ◽  
Earthquake Early Warning ◽  
Warning Systems ◽  
Earthquake Early Warning Systems
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