Earthquake Early Warning: Current Status and Latest Innovations
The field of earthquake early warning (EEW) is expanding, incorporating research from a wide range of other domains including computer science, civil engineering and social science. The number of examples of earthquakes recorded by operational EEW systems continues to grow. The 2019 Ridgecrest sequence, for example, included both the largest main shock and the most energetic aftershock sequence encountered by the US ShakeAlert EEW system. This sequence, along with other large earthquakes e.g. in Japan, Mexico and China, provide operational experience and insight into the potential and the limitations of EEW systems. Many challenges remain to maximize the potential of these systems. 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.
Conveners
Angela I. Chung, University of California, Berkeley (angiechung07@gmail.com); Men-Andrin Meier, Caltech (mmeier@caltech.edu)
Oral Presentations
| Participant Role | Details | Start Time | Minutes | Action |
|---|---|---|---|---|
| Submission | Earthquake Early Warning Delivery Using Smartphones | 08:30 AM | 15 | View |
| Submission | Is Crowdsourced Earthquake Early Warning Already a Reality? | 08:45 AM | 15 | View |
| Submission | A Catalog Search Algorithm for Interpreting Complex Sequences | 09:00 AM | 15 | View |
| Submission | Deepshake: Earthquake Early Warning with a Deep Generative Spatiotemporal Recursive Neural Network | 09:15 AM | 15 | View |
| Submission | Seismic Event Parameter Inference from Sparse Early Warning Stations Using Bayesian Networks | 09:30 AM | 15 | View |
| Other Time | Break | 09:45 AM | 60 | |
| Submission | How Often Can Earthquake Early Warning Systems Alert Sites with High Intensity Ground Motion? | 10:45 AM | 15 | View |
| Submission | The PLUM Earthquake Early Warning Algorithm: Application to Real-Time, USA, Data | 11:00 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 | 11:15 AM | 15 | View |
| Submission | Incorporating Ground-Motion Uncertainties into Earthquake Early Warning Alert Distance Strategies Using the July 2019 M6.4 and M7.1 Ridgecrest, California, Earthquakes | 11:30 AM | 15 | View |
| Submission | Including Three-Dimensional Finite Fault and Distributed Slip Models in Ground Motion Forecasting for Earthquake Early Warning | 11:45 AM | 15 | View |
| Total: | 210 Minute(s) |
Earthquake Early Warning: Current Status and Latest Innovations
Description