| Autor: |
Arifullah, Arifullah, Muksin, Umar, Simanjuntak, Andrean, Muzli, Muzli |
| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3082 Issue 1, p1-8, 8p |
| Abstrakt: |
The time-consuming task in earthquake localization is P and S wave arrival time determination especially for large seismic datasets. The simplest method of P and S wave detection is based on the ratio of short-term average (STA) to long-term average (LTA). This study aims to detect the P and S wave phases using the grid search method and compare the results with manual observations. Seismic phases were detected based on the coherence of seismic waves recorded by different stations at test points in the 3-D grid. The coherence levels were calculated based on the characteristic functions (CF) of time-series records. The method was applied to one-month seismic waveforms (subset data from June 2020 to July 2020) recorded by the Seulawah-Network. The Seulawah-Network were installed for 1.5 year from January 2020 and equipped with 47 three components seismic instruments. Within one month, a total of 2580 phases were automatically detected and used to localize 129 local earthquakes. Compared with visual observation, several micro-seismic were missed by the grid-search method therefore the threshold value needs to be adjusted. The automatic detection is feasible to apply in P and S wave detection and earthquake localization. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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