Considerations for Regional-Scale Earthquake Assessment Using Seismic Arrays
Session: Leveraging Advanced Detection, Association and Source Characterization in Network Seismology [Poster]
Type: Poster
Date: 4/30/2020
Time: 08:00 AM
Room: Ballroom
Description:
We examine the feasibility and merit of utilizing seismic array analysis as a routine tool for detecting and analyzing seismic events in and around Alaska. Alaska has three minor seismic arrays (each with five elements) and one major array (20 elements). These arrays provide high signal-to-noise records from well-understood sources at both regional and teleseismic distances. We assemble a hand-curated catalog of regional-scale earthquakes that are well-recorded on these four seismic arrays (Burnt Mountain, Indian Mountain, Beaver Creek, Eielson). These events provide a benchmark dataset that spans backazimuths, depths, distances, magnitudes and event types. The variation in array designs provides another variable for comparison. This dataset is large enough to allow statistically robust comparisons between different algorithms and processing parameters. In this study, we seek ways of extracting additional earthquake data and explore key aspects of the implementation of array processing at local and regional distances. We explore (1) ways of enhancing earthquake detection and location in areas where it’s known to have event detection problems and (2) effects of having real-time back-azimuth and slowness parameters on earthquake rupture dimensions and aftershock forecasting. These will, in turn, provide a greatly improved basis on how seismic array processing could be applied in a real-time environment to regional and global seismic networks.
Presenting Author: Ezgi Karasozen
Authors
Ezgi Karasozen ekarasozen@alaska.edu Alaska Earthquake Center, Fairbanks, Alaska, United States Presenting Author
Corresponding Author
|
Michael E West mewest@alaska.edu Alaska Earthquake Center, Fairbanks, Alaska, United States |
Considerations for Regional-Scale Earthquake Assessment Using Seismic Arrays
Category
Leveraging Advanced Detection, Association and Source Characterization in Network Seismology