Abstract
Constraining earthquake locations with as few stations as possible is crucial for earthquake early warning. In this study, a new real-time array-based location algorithm is introduced that consists of two modules. The first is a single standalone array module that monitors waveform slowness and back azimuth in a continuous manner and identifies P-and S-phase arrivals. The second is a multiarray module that intersects multiple back-azimuth estimates and surfaces of equal differential arrivals of the P phase. Initial location estimates are issued either by the standalone module, after the S-phase arrival to the first array, or by the multiple arrays module after the P phase arrives to a second array. Location estimates are subsequently updated with data made available by additional arrays. This approach is validated with 10 earthquakes recorded by small-aperture arrays deployed along the Dead Sea Transform. Use of real-time array methodology is particularly suited to environments with sparse network and/or unfavorable source–station configurations.
| Original language | English |
|---|---|
| Pages (from-to) | 2046-2053 |
| Number of pages | 8 |
| Journal | Bulletin of the Seismological Society of America |
| Volume | 108 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1 Aug 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 11 Sustainable Cities and Communities
ASJC Scopus subject areas
- Geophysics
- Geochemistry and Petrology
Fingerprint
Dive into the research topics of 'Array-based earthquake location for regional earthquake early warning: Case studies from the dead sea transform'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver