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Estimating S-wave amplitude for earthquake early warning in New Zealand: Leveraging the first 3 seconds of P-Wave

Chanthujan Chandrakumar; Marion Lara Tan; Caroline Holden; Max Stephens; Amal Punchihewa; Raj Prasanna
Earth Science Informatics · Vol. 17, Issue 5 · pp. 4527-4554 · 2024

Abstract

This study addresses the critical question of predicting the amplitude of S-waves during earthquakes in Aotearoa New Zealand (NZ), a highly earthquake-prone region, for implementing an Earthquake Early Warning System (EEWS). This research uses ground motion parameters from a comprehensive dataset comprising historical earthquakes in the Canterbury region of NZ. It explores the potential to estimate the damaging S-wave amplitude before it arrives, primarily focusing on the initial P-wave signals. The study establishes nine linear regression relationships between P-wave and S-wave amplitudes, employing three parameters: peak ground acceleration, peak ground velocity, and peak ground displacement. Each relationship’s performance is evaluated through correlation coefficient (R), coefficient of determination (R²), root mean square error (RMSE), and 5-fold Cross-validation RMSE, aiming to identify the most predictive empirical model for the Canterbury context. Results using a weighted scoring approach indicate that the relationship involving P-wave Peak Ground Velocity (Pv) within a 3-second window strongly correlates with S-wave Peak Ground Acceleration (PGA), highlighting its potential for EEWS. The selected empirical relationship is subsequently applied to establish a P-wave amplitude (Pv) threshold for the Canterbury region as a case study from which an EEWS could benefit. The study also suggests future research exploring complex machine learning models for predicting S-wave amplitude and expanding the analysis with more datasets from different regions of NZ.

Bibliographic Information

JournalEarth Science Informatics
PublisherSpringer
Publication Date2024-10-01
Publication Year2024
Volume17
Issue5
Pages4527-4554
Document TypeJournal Article
Print ISSN1865-0473
eISSN1865-0481
DOI10.1007/s12145-024-01403-6

Access Information

NARA Access Coverage2008-01-01~Current
Journal Homepagehttps://www.springer.com/journal/12145
Publisher PageOpen Publisher Page
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