Using Legacy Data to Improve Seismic Hazard Assessments in the Caucasus
Session: Back to the Future: Innovative New Research with Legacy Seismic Data
Type: Oral
Date: 4/19/2021
Presentation Time: 05:45 PM Pacific
Description:
Significant amounts of earthquake bulletin, catalogue and waveform data from Soviet era are kept in seismological institutions across the Caucasus. Much of the data is in paper archives and slowly deteriorating. Lawrence Livermore National Laboratory, through the Seismic Cooperation Program, initiated a project to systematically digitize these paper based bulletins and waveforms in the past five years. The project allowed many previously unreported events to be added to the region's earthquake catalogue. We present a new probabilistic seismic hazard assessment for Azerbaijan taking advantage of this new dataset. The digitization of the data allowed relocation of earthquakes, which previously had low resolution locations, concentrated on grid points. In addition, it allowed direct calculation of moment magnitudes for over 100 events for which Soviet era magnitudes (including K Class) were also available (using data from co-located analogue and digital instruments), providing us with a solid basis to generate magnitude conversion relations specific to this region. In addition to the new hazard results, we present sensitivity analyses related to seismic source and ground motion characterization in Azerbaijan.
Presenting Author: Tuna Onur
Student Presenter: No
Authors
Tuna Onur Presenting Author Corresponding Author tuna@onurseemann.com Onur Seemann Consulting, Inc. |
Rengin Gök gok1@llnl.gov Lawrence Livermore National Lab |
István Bondár bondar.istvan@csfk.mta.hu Research Centre for Astronomy and Earth Sciences |
Carlos Herrera carlosfherrera@uvic.ca University of Victoria |
Gurban Yetirmishli gyetirmishli@gmail.com Azerbaijan National Academy of Sciences |
Tea Godoladze tea_godoladze@iliauni.edu.ge Ilia State University |
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Using Legacy Data to Improve Seismic Hazard Assessments in the Caucasus
Category
Back to the Future: Innovative New Research with Legacy Seismic Data