Magnitude determination for earthquake early warning using P-alert low-cost sensors during 2024 Mw7.4 Hualien, Taiwan earthquake

Abstract Magnitude determination in earthquake early warning (EEW) systems remains a significant challenge. On April 2, 2024, a Mw 7.4 earthquake struck Taiwan. The Central Weather Administration (CWA) EEW system estimated the magnitude at 6.8 within 15 s, resulting in no alerts for the Taipei metro...

Full description

Saved in:
Bibliographic Details
Main Authors: Yueh-Ho Lin, Yih-Min Wu
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-97748-z
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850201151347097600
author Yueh-Ho Lin
Yih-Min Wu
author_facet Yueh-Ho Lin
Yih-Min Wu
author_sort Yueh-Ho Lin
collection DOAJ
description Abstract Magnitude determination in earthquake early warning (EEW) systems remains a significant challenge. On April 2, 2024, a Mw 7.4 earthquake struck Taiwan. The Central Weather Administration (CWA) EEW system estimated the magnitude at 6.8 within 15 s, resulting in no alerts for the Taipei metropolitan region, which experienced an intensity level of 5 lower (PGV ≥ 15 cm/s) on the CWA’s intensity scale. The lack of warning alerts sparked widespread complaints, highlighting concerns over the effectiveness of the current EEW system. This study compares the parameter cumulative absolute absement ( $$\:CAA$$ ) with the currently used parameters — the peak vertical displacement ( $$\:Pd$$ ) and the average period ( $$\:{\tau\:}_{c}$$ ) — for quick magnitude estimation of the April 2, 2024, earthquake using low-cost sensors. Results indicate that $$\:Pd$$ provides closer estimates of the CWA final ML but carries higher uncertainty. Conversely, $$\:CAA$$ yields more stable estimates. Notably, the northward rupture of this earthquake caused overestimation when only northern stations were used and underestimation with only southern stations, underscoring the critical importance of proper station distribution. Interestingly, $$\:{\tau\:}_{c}$$ demonstrates less sensitivity to rupture directionality, suggesting its potential robustness in such scenarios. These findings underscore optimizing parameter selection and station configuration for robust EEW, enabling rapid magnitude estimation to significantly reduce losses.
format Article
id doaj-art-413623abb44e4629b06731bd303049fa
institution OA Journals
issn 2045-2322
language English
publishDate 2025-04-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj-art-413623abb44e4629b06731bd303049fa2025-08-20T02:12:06ZengNature PortfolioScientific Reports2045-23222025-04-0115111010.1038/s41598-025-97748-zMagnitude determination for earthquake early warning using P-alert low-cost sensors during 2024 Mw7.4 Hualien, Taiwan earthquakeYueh-Ho Lin0Yih-Min Wu1Department of Geosciences, National Taiwan UniversityDepartment of Geosciences, National Taiwan UniversityAbstract Magnitude determination in earthquake early warning (EEW) systems remains a significant challenge. On April 2, 2024, a Mw 7.4 earthquake struck Taiwan. The Central Weather Administration (CWA) EEW system estimated the magnitude at 6.8 within 15 s, resulting in no alerts for the Taipei metropolitan region, which experienced an intensity level of 5 lower (PGV ≥ 15 cm/s) on the CWA’s intensity scale. The lack of warning alerts sparked widespread complaints, highlighting concerns over the effectiveness of the current EEW system. This study compares the parameter cumulative absolute absement ( $$\:CAA$$ ) with the currently used parameters — the peak vertical displacement ( $$\:Pd$$ ) and the average period ( $$\:{\tau\:}_{c}$$ ) — for quick magnitude estimation of the April 2, 2024, earthquake using low-cost sensors. Results indicate that $$\:Pd$$ provides closer estimates of the CWA final ML but carries higher uncertainty. Conversely, $$\:CAA$$ yields more stable estimates. Notably, the northward rupture of this earthquake caused overestimation when only northern stations were used and underestimation with only southern stations, underscoring the critical importance of proper station distribution. Interestingly, $$\:{\tau\:}_{c}$$ demonstrates less sensitivity to rupture directionality, suggesting its potential robustness in such scenarios. These findings underscore optimizing parameter selection and station configuration for robust EEW, enabling rapid magnitude estimation to significantly reduce losses.https://doi.org/10.1038/s41598-025-97748-zEarthquakeEarthquake Early WarningMagnitude EstimationLow-cost Sensors
spellingShingle Yueh-Ho Lin
Yih-Min Wu
Magnitude determination for earthquake early warning using P-alert low-cost sensors during 2024 Mw7.4 Hualien, Taiwan earthquake
Scientific Reports
Earthquake
Earthquake Early Warning
Magnitude Estimation
Low-cost Sensors
title Magnitude determination for earthquake early warning using P-alert low-cost sensors during 2024 Mw7.4 Hualien, Taiwan earthquake
title_full Magnitude determination for earthquake early warning using P-alert low-cost sensors during 2024 Mw7.4 Hualien, Taiwan earthquake
title_fullStr Magnitude determination for earthquake early warning using P-alert low-cost sensors during 2024 Mw7.4 Hualien, Taiwan earthquake
title_full_unstemmed Magnitude determination for earthquake early warning using P-alert low-cost sensors during 2024 Mw7.4 Hualien, Taiwan earthquake
title_short Magnitude determination for earthquake early warning using P-alert low-cost sensors during 2024 Mw7.4 Hualien, Taiwan earthquake
title_sort magnitude determination for earthquake early warning using p alert low cost sensors during 2024 mw7 4 hualien taiwan earthquake
topic Earthquake
Earthquake Early Warning
Magnitude Estimation
Low-cost Sensors
url https://doi.org/10.1038/s41598-025-97748-z
work_keys_str_mv AT yuehholin magnitudedeterminationforearthquakeearlywarningusingpalertlowcostsensorsduring2024mw74hualientaiwanearthquake
AT yihminwu magnitudedeterminationforearthquakeearlywarningusingpalertlowcostsensorsduring2024mw74hualientaiwanearthquake