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Room: Ballroom

Date: 4/19/2023

Session Time: 8:00 AM to 5:45 PM (local time)

Detecting, Locating, Characterizing and Monitoring Non-earthquake Seismoacoustic Sources
Non-earthquake seismoacoustic sources, such as landslides, avalanches, lahars, glacial events, blasts and bolide impacts, are commonly recorded by seismoacoustic monitoring networks. Although most of these sources are not routinely monitored in real-time like earthquakes, the recent surge in seismoacoustic data and ground-based, airborne and satellite imagery makes these post-event detections and characterizations possible. Furthermore, regional networks increasingly incorporate acoustic instrumentation, making acoustic measurements of these events more common.

This session focuses on methods that aim to better understand and characterize these sources and to better monitor and mitigate their associated hazards. We encourage presentations that study all types of non-earthquake seismic sources by utilizing seismoacoustic, geodetic and remote sensing techniques on local, regional, and global scales. Relevant topics may include but are not limited to source detection, location, characterization, modeling and classification (including machine learning approaches); precursory signal analysis; monitoring; and hazard mitigation.

Conveners
Ezgi Karasözen, Alaska Earthquake Center, Geophysical Institute, University of Alaska Fairbanks (ekarasozen@alaska.edu)
Kate Allstadt, U.S. Geological Survey (kallstadt@usgs.gov)
Liam Toney, Alaska Volcano Observatory and Wilson Alaska Technical Center, University of Alaska Fairbanks (ldtoney@alaska.edu)

Poster Presentations