s-wave-intensity-estimation-nz
Research project on estimating S-wave intensity using mixed effect models in New Zealand earthquakes. This study leverages GeoNet seismic data and explores the role of P-wave parameters and random effects to build a robust, station-level prediction model
https://github.com/thanurieranthi/s-wave-intensity-estimation-nz
Science Score: 54.0%
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Repository
Research project on estimating S-wave intensity using mixed effect models in New Zealand earthquakes. This study leverages GeoNet seismic data and explores the role of P-wave parameters and random effects to build a robust, station-level prediction model
Basic Info
- Host: GitHub
- Owner: thanurieranthi
- License: other
- Default Branch: main
- Size: 2 MB
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- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files
README.md
Comprehensive Study on Estimating S-Wave Intensity in New Zealand Earthquakes
The study focuses on estimating S-wave intensity (specifically, Peak Ground Velocity - PGV) using Linear Mixed-Effects Models (LMM) applied to New Zealand earthquake data.
🧠 Research Summary
Earthquake Early Warning Systems (EEWS) are critical in seismically active regions like New Zealand. This study aims to: - Identify the best predictors for estimating S-wave intensity. - Assess the influence of P-wave parameters, station characteristics, and event-specific variables. - Develop a robust, generalizable intensity estimation model using Linear Mixed-Effects Modeling (LMM).
Data from 54,000+ waveforms across 12,000+ earthquakes (2013–2022) was obtained via GeoNet. After filtering, ~29,000 waveforms recorded by 293 stations were used in the analysis.
📁 Repository Structure
| Folder | Contents |
|----------------|--------------------------------------------------------------------------|
| thesis/ | Full thesis report (PDF) |
| R scripts/ | R source code used for data preprocessing, model building, and analysis |
| publications/ | Abstract and extended abstract presented at the Annual Research Symposium 2024 |
| Root files | README.md, LICENSE, and CITATION.md for documentation and rights |
📜 Abstract (Symposium 2024)
The study presented at the Annual Research Symposium 2024 (University of Colombo) proposes a generalized model to estimate S-wave intensity based on P-wave parameters. A Linear Mixed-Effects Model was found to outperform traditional regression models, especially in handling grouped data and station-level variability.
📄 Publication
The abstract paper of this research is available on ResearchGate:
https://www.researchgate.net/publication/393725838ComprehensiveanalysisofS-waveintensitypredictioninNewZealandearthquakesAmultilevelmodelingapproach
📘 Citation
Eranthi, E.V.T., G. P. Lakraj (2024). Comprehensive analysis of S-wave intensity prediction in New Zealand earthquakes: A multilevel modeling approach. M.Sc. Thesis, University of Colombo.
🔗 Contact
For questions or collaboration, feel free to contact: - E.V.T. Eranthi - Email: thanurieranthi1@gmail.com
Owner
- Login: thanurieranthi
- Kind: user
- Repositories: 1
- Profile: https://github.com/thanurieranthi
Citation (CITATION.md)
# How to Cite This Work
If you use any part of this research, please cite it as follows:
**E. V. T. Eranthi, G. P. Lakraj** (2024).
*Comprehensive analysis of S-wave intensity prediction in New Zealand earthquakes: A multilevel modeling approach.*
Department of Statistics, University of Colombo, Colombo 03, Sri Lanka.
Presented at the **Annual Research Symposium 2024**, University of Colombo, Sri Lanka.
---
**BibTeX citation:**
```bibtex
@inproceedings{Eranthi2024,
author = {E. V. T. Eranthi and G. P. Lakraj},
title = {Comprehensive analysis of S-wave intensity prediction in New Zealand earthquakes: A multilevel modeling approach},
year = {2024},
institution = {Department of Statistics, University of Colombo},
note = {Presented at the Annual Research Symposium 2024, University of Colombo, Sri Lanka}
}
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