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Improving Earthquake Early Warning Initial Peak Ground Motion Magnitude Estimation with Station Corrections: A Case Study Using the P-Alert Network in Taiwan
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 ( ${P_a}$ ), velocity ( ${P_v}$ ), and displacement ( ${P_d}$ ) as $14.52\% $ , $7.63\% $ , and $7.58\% $ , 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.
Improving Earthquake Early Warning Initial Peak Ground Motion Magnitude Estimation with Station Corrections: A Case Study Using the P-Alert Network in Taiwan
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 ( ${P_a}$ ), velocity ( ${P_v}$ ), and displacement ( ${P_d}$ ) as $14.52\% $ , $7.63\% $ , and $7.58\% $ , 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.
Improving Earthquake Early Warning Initial Peak Ground Motion Magnitude Estimation with Station Corrections: A Case Study Using the P-Alert Network in Taiwan
Huang, Ting-Chung (author) / Wu, Yih-Min (author)
Journal of Earthquake Engineering ; 28 ; 1532-1551
2024-04-25
20 pages
Article (Journal)
Electronic Resource
English
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