Abstract
This paper presents a relationship between fault length (L) and earthquake moment magnitude (M) for Taiwan, using the Bayesian approach integrating two local M-L datasets as observation with 77 non-local datasets as prior information. Like other Bayesian studies, the purpose of using such Bayesian updating is to compensate limited local data with relevant prior information. In addition to the detailed Bayesian calculations, this paper also shows that the new Bayesian model should be more suitable for Taiwan than the prior model.
Original language | English |
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Pages (from-to) | 69-77 |
Number of pages | 9 |
Journal | Journal of GeoEngineering |
Volume | 15 |
Issue number | 2 |
DOIs | |
State | Published - 1 Jun 2020 |
Keywords
- Bayesian approach
- Earthquake magnitude
- Fault length
- Taiwan