WITHDRAWN The Potential for Array Methodologies for Earthquake Early Warning in the Aleutians (Alaska)
WITHDRAWN Array methodologies may enhance Earthquake Early Warning Systems (EEWS) by improving hypocenter location of offshore and off-network earthquakes (e.g., Eisermann et al., 2018; Ziv et al., 2024). In the Aleutians, the seismic network that is operated by the Alaska Volcano Observatory consists of station clusters around major volcanoes, each of which may be treated as a virtual seismic array. This, together with the high rate of subduction earthquake activity, makes the Aleutians an excellent laboratory for testing the potential for array methodologies for EEWS. Presently, the main limiting factor for EEWS in the Aleutians is the telemetry being non-real time. To overcome this technical issue, and to mimic real-time conditions, the data are passed through a 30-minute-long buffer. In this talk we will present the results of a feasibility study for array-based EEWS in the Aleutians.
The ViDA3, the VIrtual Dynamic Array Assembly Algorithm for real-time location is used (Ziv et al., 2024). This algorithm assembles triggered network stations into virtual arrays, and runs array analysis for slowness vectors, P and S time of arrivals. These provide robust earthquake locations, where the alternative approach struggles.
The real-time-like performances of ViDA3 during the Mw6.3 on Dec 8th, 2024, and its first 5-day-long aftershocks are examined. Hypocenter timelines indicated stable and robust hypocenters, thus very clearly validate the potential of array-based EEWS for the Aleutians and further underscore its advantage with respect to a network approach.
Eisermann, A.S., A. Ziv, and G.H. Wust-Bloch, Array-based earthquake location for regional earthquake early warning: Case studies from the Dead Sea Transform, Bull. Seism. Soc. Am., 108 (4): 2046–2053, doi:10.1785/0120170315, 2018.
Ziv, A., A.S. Eisermann, O. Volk, and I. Zbeda. Introducing ViDA3, An Earthquake Early Warning Algorithm for Offshore Hypocenter Determination Using Onshore Seismic Networks. Bull. Seism. Soc. Am., 114 (5): 2446–2456. doi: 10.1785/0120230302, 2024.
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Presenting Author: Alon Ziv
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Alon Ziv Presenting Author Corresponding Author zivalon@tau.ac.il Tel Aviv University |
Andreas Eisermann eisermann@tauex.tau.ac.il Tel Aviv University |
Adam Klinger adam@seismicai.com SeismicAI |
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WITHDRAWN The Potential for Array Methodologies for Earthquake Early Warning in the Aleutians (Alaska)
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Performance and Progress of Earthquake Early Warning Systems Around the World
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