Improving Earthquake Early Warning Initial Peak Ground Motion Magnitude Estimation with Station Corrections: A Case Study Using the P-Alert Network in Taiwan
Journal
Journal of Earthquake Engineering
Date Issued
2023-01-01
Author(s)
Huang, Ting Chung
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 ((Formula presented.)), velocity ((Formula presented.)), and displacement ((Formula presented.)) as (Formula presented.), (Formula presented.), and (Formula presented.), 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.
Subjects
Earthquake Early Warning | Ground Motion | Ground Motion | Statistical Learning
Type
journal article