Abstract
Many earthquake empirical models were developed based on the statistics in the past. However, it is commonly seen that a non-local model was applied to a local study without any adjustment. In this paper, a new algorithm using maximum likelihood estimation (MLE) to adjust a non-local model for local applications was presented, including a case study assessing the probability of major earthquake occurrences in Taipei. Specifically, considering the fault length of 36 km and slip rate of 2 mm/yr, it suggests the Sanchiao (or Shanchiao) fault could induce a major earthquake with magnitude Mw 7.14±0.17, based on a non-local model integrated with limited local data using the MLE algorithms.
| Original language | English |
|---|---|
| Pages (from-to) | 150-156 |
| Number of pages | 7 |
| Journal | Soil Dynamics and Earthquake Engineering |
| Volume | 99 |
| DOIs | |
| State | Published - 1 Aug 2017 |
Keywords
- Empirical model adjustment
- Maximum likelihood estimation
- Sanchiao fault in Taipei
Fingerprint
Dive into the research topics of 'Earthquake probability in Taipei based on non-local model with limited local observation: Maximum likelihood estimation'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver