Room: Tubughnenq’ 4
Date: 5/3/2024
Session Time: 2:00 PM to 3:15 PM (local time)
Earthquake swarms are clusters of earthquakes that are localized in space and time but without a distinctive mainshock or characteristic temporal decay of aftershock event rates. While a classic aftershock sequence typically arises due to the adjustment or “settling” of fault stresses after a mainshock, earthquake swarms can be produced from a wide variety of tectonic, structural, geothermal and anthropogenic conditions. Spatiotemporal variations in earthquake rates during swarms tend to depart from traditional mainshock-aftershock sequences resulting in unpredictable swarm durations and spatial extents.
The purpose of this session is to provide a broad overview of work related to earthquake swarms. Potential topics include but are not limited to: operational practices for capturing and forecasting swarms, methods for swarm analysis, geologic and tectonic interpretations and hazard analysis of swarms. Submission of studies at various time and geographic scales and those using both traditional and novel analysis methods are encouraged. This session aims to foster collaboration and the sharing of techniques and data sets to advance the community’s capabilities to study and understand these phenomena.
Conveners:
Kyren R. Bogolub, Nevada Seismological Laboratory, University of Nevada, Reno (kbogolub@unr.edu)
Jeffery L. Fox, Ohio Geological Survey (jeffrey.fox@dnr.ohio.gov)
Andrea L. Llenos, U.S. Geological Survey (allenos@usgs.gov)
William H. Savran, Nevada Seismological Laboratory, University of Nevada, Reno (wsavran@unr.edu)
Daniel T. Trugman, Nevada Seismological Laboratory, University of Nevada, Reno (dtrugman@unr.edu)
Elizabeth A. Vanacore, University of Puerto Rico Mayagüez, Puerto Rico Seismic Network (elizabeth.vanacore@upr.edu)
Oral Presentations
Participant Role | Details | Start Time | Minutes | Action |
---|---|---|---|---|
Submission | Seismic Clusters as Markers of Crustal Stability | 02:00 PM | 15 | View |
Submission | Investigating Slow Slip Transients and Earthquake Swarms on the Blanco Transform Fault With Obs Data Mining | 02:15 PM | 15 | View |
Submission | Distant Seismic Monitoring of a Volcanic Earthquake Swarm Near the Manuʻa Islands, American Samoa, with Deep-learning and Template-matching Event Detection | 02:30 PM | 15 | View |
Submission | Improving Template Matching Detections Using a Convolutional Neural Network | 02:45 PM | 15 | View |
Submission | Automated Detection and Characterization of Swarms and Mainshock-Aftershock Sequences in Southern Mexico | 03:00 PM | 15 | View |
Total: | 75 Minute(s) |
Advances in Operational and Research Analysis of Earthquake Swarms - I
Description