Room: Tikahtnu Ballroom E/F
Date: 5/2/2024
Session Time: 8:00 AM to 9:15 AM (local time)
Geophysical techniques are vital to enhance the detection and characterization of anthropogenic activity. This session calls for abstracts showcasing the latest in geophysical forensic analysis used in global security and monitoring. Topics may encompass observation, modeling and characterization of ground coupled events such as explosions, mining, collapse and bolides. We also seek to highlight the advancements in source, propagation and signal analysis relating to controlled source experiments. We encourage submissions that integrate multi-modal observations and innovative instrumentation such as distributed acoustic sensing, remote sensing, infrasound and large-N arrays. The aim of this session is to encourage collaboration and discussion among institutional experts to drive innovations in forensic seismology and explosion monitoring.
Conveners:
Richard A. Alfaro-Diaz, Los Alamos National Laboratory (rad@lanl.gov)
Louisa Barama, Lawrence Livermore National Laboratory (barama1@llnl.gov)
Jorge A. Garcia, Sandia National Laboratories (jgarc26@sandia.gov)
Carl Tape, University of Alaska Fairbanks (ctape@alaska.edu)
Cleat Zeiler, Nevada National Security Site (ZeilerCP@nv.doe.gov)
Oral Presentations
| Participant Role | Details | Start Time | Minutes | Action |
|---|---|---|---|---|
| Submission | Seismology in Support of Negotiation, Implementation, and Verification of Nuclear Test Ban Treaties and Science Diplomacy: Where It Started and DOS R&D Challenges | 08:00 AM | 15 | View |
| Submission | Three-dimensional Nonlinear Calculations of Explosions at the Novaya Zemlya Nuclear Test Site | 08:15 AM | 15 | View |
| Submission | Discriminating Collapses From Explosions and Earthquakes | 08:30 AM | 15 | View |
| Submission | Source Characterization and Uncertainty Quantification of the North Korean Nuclear Tests 2006-2017 | 08:45 AM | 15 | View |
| Submission | Regional Characterization of Natural and Anthropogenic Seismic Events for Monitoring Efforts With Machine Learning | 09:00 AM | 15 | View |
| Total: | 75 Minute(s) |
Advancements in Forensic Seismology and Explosion Monitoring - I
Description