Room: Tikahtnu Ballroom E/F
Date: 5/3/2024
Session Time: 2:00 PM to 3:15 PM (local time)
The field of Earthquake Early Warning (EEW) has expanded and evolved significantly since the first public system came online in Mexico in 1991. Public EEW systems can now be found in many countries around the globe. These systems make use of cutting-edge scientific, technological and social science advancements to deliver alerts as rapidly, accurately and with as much positive impact as possible.
EEW systems comprise various elements that must work together synchronously and seamlessly to deliver useful alerts. These components include world-class seismic and geodetic networks, rapid telecommunications, algorithms that are capable of quickly and correctly detecting earthquakes, and technical recipients that are capable of turning alert messages produced by the system into useful warning products. To maximize effectiveness of EEW systems, people must also be educated about how to take safe response actions, such as Drop, Cover and Hold On. To establish the necessary culture of awareness and preparedness, EEW organizations must work with others, including public safety organizations, to ensure a broad, consistent and authoritative EEW education and outreach effort. Such initiatives should include engagement with critical infrastructure operators, and take special care to address vulnerable populations, such as low-income, special needs, new immigrants, indigenous and elderly.
This session welcomes abstracts related to all aspects of innovating, optimizing and maintaining EEW systems including traditional and novel sensor developments, advancements in communications, methodology and algorithmic development, system assessment and abstracts related to education, outreach and engagement for EEW.
Conveners:
Ronni Grapenthin, University of Alaska Fairbanks (rgrapenthin@alaska.edu)
Angie I. Lux, Berkeley Seismology Laboratory (angie.lux@berkeley.edu)
Mouse Reusch, University of Washington (topo@uw.edu)
Brian Terbush, Washington State Emergency Management Division (Brian.Terbush@mil.wa.gov)
Fabia Terra, Berkeley Seismology Laboratory (terra@berkeley.edu)
Oral Presentations
| Participant Role | Details | Start Time | Minutes | Action |
|---|---|---|---|---|
| Submission | Improvement in Magnitude Estimation Performance with a Combined PGD-PGV Scaling Law for the G-Fast Earthquake Early Warning Module | 02:00 PM | 15 | View |
| Submission | Finite-Fault Rupture Detector (FinDer) for Earthquake Early Warning and Rapid Impact Estimates: Recent Developments using Large International Earthquakes | 02:15 PM | 15 | View |
| Submission | Generalized Neural Networks for Universal Real-Time Earthquake Early Warning | 02:30 PM | 15 | View |
| Submission | Investigating Seismic Site Amplification for Improved Earthquake Early Warning in Canada | 02:45 PM | 15 | View |
| Submission | Predicting Ground Motion Waveforms for Earthquake Early Warning Using Convolutional Long Expressive Memory Models | 03:00 PM | 15 | View |
| Total: | 75 Minute(s) |
End-to-End Advancements in Earthquake Early Warning Systems - I
Description