Session Time: 9:45 AM to 11:00 AM Pacific
Earthquake Early Warning Live in California! Current Status and Challenges
In October 2019, Earthquake Early Warning (EEW) alerts were made publicly available throughout California for the first time ever. This milestone followed closely on the heels of the 2019 Ridgecrest sequence, which included both the largest main shock and the most energetic aftershock sequence encountered by the US ShakeAlert EEW system (with public alerts only available in Los Angeles at that time). These events contributed to the already rapidly advancing realm of EEW research, which spans a wide range of fields including computer science, earthquake physics, seismic network design, social science and more. EEW systems are also being developed and coming online elsewhere in the world, with each system facing its own unique set of obstacles.
Many challenges remain to maximize the potential of these systems and prevent harm from system errors and malfunctions (e.g. false alerts). Unanswered questions range from the scientific (e.g., real-time magnitude estimates of large earthquakes and rupture predictability) to the practical (e.g., how to distribute alerts to the public most efficiently, minimizing data transmission delays).
In this session we welcome abstracts related to all aspects of EEW including, but not limited to, algorithm development, system performance, improved trigger detection/discrimination techniques, network build-out, alerting methods and technology and EEW education and outreach.
Angela I. Chung, University of California, Berkeley (email@example.com)
Men-Andrin Meier, California Institute of Technology (firstname.lastname@example.org)
|Participant Role||Details||Start Time||Minutes||Action|
|Submission||The Transformer Earthquake Alerting Model: A Data Driven Approach to Early Warning||09:45 AM||15||View|
|Submission||A Consumer Internet-of-Things Device for On-Site and Regional Earthquake Early Warning||10:00 AM||15||View|
|Submission||Approximate Inference of the EEW Event Parameters Using MCMC and Bayesian Networks||10:15 AM||15||View|
|Submission||Could a Decentralized Onsite Earthquake Early Warning System Help in Mitigating Seismic Risk in North-Eastern Italy? The Case of the Ms 6.5 1976 Friuli Earthquake||10:30 AM||15||View|
|Submission||Deepshake: A Machine-Learning Approach to Rapid Estimation of Shaking Intensity||10:45 AM||15||View|
Earthquake Early Warning Live in California! Current Status and Challenges I
Time: 9:45 AM to 11:00 AM Pacific