ABSTRACT
Earthquake early warning systems assess the size of an earthquake based on initial ground motion and provide warnings before the arrival of large waves. We employ the iterative regression to simultaneously estimate the station correlations and the corresponding linear relations for magnitude. We report the standard error reductions of the magnitude estimation based on the initial peak P-wave acceleration (), velocity (), and displacement () as , , and , respectively. Factor analysis of the stationary correction reveals its correlation with several factors. This study shows that station correction can help to improve the precision of magnitude estimation in the future.
Authors’ Contributions
T.C. H developed the theoretical formalism, conducted the analysis, and wrote the paper. Y.M. W supervised the findings of this work. All authors discussed the results and contributed to the final manuscript.
Disclosure Statement
No potential conflict of interest was reported by the author(s).
Data Availability Statement
The strong-motion waveform records from the P-Alert network can be downloaded at http://palert.earth.sinica.edu.tw/db/(last accessed July 2022).