Estimating S-wave amplitude for earthquake early warning in New Zealand: Leveraging the first 3 seconds of P-Wave
dc.contributor.author | Chandrakumar C | |
dc.contributor.author | Tan M | |
dc.contributor.author | Holden C | |
dc.contributor.author | Stephens M | |
dc.contributor.author | Punchihewa A | |
dc.contributor.author | Rahubadde Kankanamge R | |
dc.date.accessioned | 2024-07-18T21:56:53Z | |
dc.date.available | 2024-07-18T21:56:53Z | |
dc.date.issued | 2024-07-13 | |
dc.description.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. | |
dc.description.confidential | false | |
dc.identifier.citation | Chandrakumar C, Tan M, Holden C, Stephens M, Punchihewa A, Rahubadde Kankanamge R. (2024). Estimating S-wave amplitude for earthquake early warning in New Zealand: Leveraging the first 3 seconds of P-Wave. Earth Science Informatics. | |
dc.identifier.doi | 10.1007/s12145-024-01403-6 | |
dc.identifier.elements-type | journal-article | |
dc.identifier.issn | 1865-0481 | |
dc.identifier.uri | https://mro.massey.ac.nz/handle/10179/70237 | |
dc.publisher | Springer | |
dc.relation.isPartOf | Earth Science Informatics | |
dc.relation.uri | https://doi.org/10.1007/s12145-024-01403-6 | |
dc.title | Estimating S-wave amplitude for earthquake early warning in New Zealand: Leveraging the first 3 seconds of P-Wave | |
dc.type | Journal article | |
massey.relation.uri-description | Published version | |
pubs.elements-id | 489702 | |
pubs.organisational-group | College of Humanities and Social Sciences |
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