Room: Exhibit Hall A+B
Date: 4/17/2026
Session Time: 8:00 AM to 5:45 PM (local time)
Data-Driven Advances in Liquefaction Hazard Analysis
Liquefaction continues to play a major role in earthquake damage worldwide. This session focuses on advances in liquefaction hazard analyses derived from observational and analytical data, with an emphasis on liquefaction-induced ground deformation, lateral spreading and impacts on critical infrastructure and lifelines. Contributions are encouraged that highlight field reconnaissance, geotechnical and seismological analyses, remote sensing of ground failure and discussions of model calibration using both historical and new case histories.
We welcome innovative approaches that apply emerging tools, such as machine learning and other data-driven methods, to earthquake reconnaissance, data integration and hazard assessment. Presentations that explore the implications of these advances for improving liquefaction hazard mapping and resilience are especially encouraged.
Conveners
Adda Athanasopoulos-Zekkos, University of California, Berkeley (adda.zekkos@berkeley.edu)
Laurie Baise, Tufts University (laurie.baise@tufts.edu)
Brian Olson, California Geological Survey (brian.olson@conservation.ca.gov)
Ellen Rathje, University of Texas at Austin (e.rathje@mail.utexas.edu)
Poster Presentations
| Participant Role | Details | Action |
|---|---|---|
| Submission | Geospatial Liquefaction Model Using Maximum Entropy (Maxent) Modeling for California | View |
| Submission | Development of USGS Computational Tools for Long-term Forecasting of Liquefaction Ground Failure Hazards | View |
| Submission | From Site-specific Methods to Regional Liquefaction Hazard Mapping: Application to California | View |
| Submission | Machine Learning-based Geospatial Liquefaction Model for California: A Comparative Study | View |
| Submission | Nonergodic-based Risk Assessment of Liquefaction-induced Ground Damage | View |
| Submission | Evaluation of the Lateral Displacement Index Framework for Regional-scale Liquefaction Hazard Assessment | View |
Data-Driven Advances in Liquefaction Hazard Analysis [Poster]
Description