Abstract
The space-time ETAS (Epidemic-Type Aftershock Sequence) model is a point process-based framework for earthquake modeling that leverages complete seismic catalogs to predict earthquake occurrences by capturing both spatial and temporal dependencies. It incorporates a long decay spatial density function, which models the gradual decrease in aftershock probability with increasing distance from the mainshocks. However, the Sulawesi-Maluku region, characterized by complex tectonic interactions and active subduction zones such as the Halmahera and Sangihe arcs, experiences frequent shallow earthquake swarms, exhibit a higher degree of clustering centered around the mainshocks, which may suggest an alternative of spatial density function within the space-time ETAS model. This study compares the commonly used long decay and short decay spatial density in the space-time ETAS model to fit the earthquake catalog in the Sulawesi-Maluku based on model complexity, computational time, and intensity prediction. Findings reveal that the short-decay function outperforms the long-decay counterpart, efficiently identifying high-seismicity areas in the Halmahera and Sangihe arcs, the Palu Koro-Matano fault zone, and the Seram Sea. This study advances seismic risk assessment and supports disaster mitigation efforts in Sulawesi-Maluku.
| Original language | English |
|---|---|
| Pages (from-to) | 1-8 |
| Number of pages | 8 |
| Journal | IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS |
| Issue number | 2024 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 7th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2024 - Hybrid, Manado, Indonesia Duration: 13 Dec 2024 → 14 Dec 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Earthquake Modeling
- Seismic Risk Mapping
- Spatial Pattern
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