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Room: Holiday Ballroom 1

Date: 4/16/2025

Session Time: 2:00 PM to 3:15 PM (local time)

Data-driven and Computational Characterization of Non-earthquake Seismoacoustic Sources

Non-earthquake seismoacoustic sources, such as landslides, avalanches, volcanoes, glacial calving, utilities & industrial blasts, bolide airburst and their impacts on Earth, are commonly recorded by seismoacoustic monitoring networks. This session focuses on data-driven and computational methods and algorithms that aim to better understand and characterize these non-earthquake sources, and to ultimately better monitor and mitigate their associated hazards. We encourage contributions from studies that include, but not limited to, seismoacoustic, geodetic, and remote sensing techniques at all relevant spatiotemporal scales with emphasis on multisensors Bayesian & Dempster-Shafer statistical data integration & fusion, high-performance deterministic & stochastic computational modeling & simulation, and AI-driven & physics-informed ML techniques. We solicitate studies that include, but not limited to, source detection, location, characterization, modeling, classification, monitoring, and hazard mitigation.

Conveners 

Souheil M Ezzedine, Lawrence Livermore National Laboratory (ezzedine1@llnl.gov) 
Benjamin L Moyer, University of Maryland, College Park Maryland (blmoyer@umd.edu) 

Oral Presentations