Room: 208B
Date: 4/20/2023
Session Time: 8:00 AM to 11:15 AM (local time)
Coseismic Ground Failure: Advances in Modeling, Impacts and Communication
Landslides and liquefaction triggered by earthquakes are a diverse set of phenomena that can cause significant impacts and losses across wide areas affected by earthquake shaking. Advances in our ability to model the initiation, displacement or runout, and impacts of ground failure of all types are needed to improve our ability to quantify the magnitude and uncertainty of hazard and risk, as well as predict near-real-time losses for emergency response. To be most useful, these hazard and risk models also need to be effectively communicated to a wide range of technical and general audiences across a wide range of contexts. All coseismic ground failure advances depend on a basis of strong high-quality datasets, both in terms of susceptibility and loading factors and detailed documentation of the occurrence of ground failure in past earthquakes.
We welcome all submissions relating to coseismic ground failure, including but not limited to contributions on: regional scale assessment; characterizing uncertainty, or developing ensemble model predictions; studies on the impacts, losses and risk modeling for coseismic ground failure; research or case histories on the best practices and advances in engagement and communication with diverse stakeholder groups; as well as case histories and lessons from recent and historic earthquakes.
Conveners
Alex R. Grant, U.S. Geological Survey (agrant@usgs.gov)
Kate E. Allstadt, U.S. Geological Survey (kallstadt@usgs.gov)
Laurie G. Baise, Tufts University (laurie.baise@tufts.edu)
Eric Thompson, U.S. Geological Survey (emthompson@usgs.gov)
Oral Presentations
Participant Role | Details | Start Time | Minutes | Action |
---|---|---|---|---|
Submission | Post-Earthquake Response Application: A New and Improved Method for Data Collection Using Arcgis Field Maps | 08:00 AM | 15 | View |
Submission | Insights From a New Global Coseismic Landslide Runout Length Dataset | 08:15 AM | 15 | View |
Submission | Updating Global Geospatial Liquefaction Models With a Focus on Feature Engineering | 08:30 AM | 15 | View |
Submission | Global Geospatial Modeling of Earthquake-Induced Soil Liquefaction Using a System of Voting Machine Learning Classifiers | 08:45 AM | 15 | View |
Submission | Integrating Regionalized Geotechnical Information Into the U.S. Geological Survey’s Liquefaction Product Within a Bayesian Framework | 09:00 AM | 15 | View |
Other Time | Break | 09:15 AM | 45 | |
Submission | Determining Coseismic Landslide Hazard Using Regional-Scale Physics-Based Ground-Motion Simulation | 10:00 AM | 15 | View |
Submission | Macro-Level Study of Seismically Induced Slope Stability in Kashmir Himalaya | 10:15 AM | 15 | View |
Submission | The Application of a Liquefaction Probabilistic Models to South Italy: A Case Study | 10:30 AM | 15 | View |
Submission | How Do Creeping Landslides Respond to Earthquake Shaking? | 10:45 AM | 15 | View |
Submission | The Great Alaska Inventory: A Digital Compilation of Ground Failures Triggered by the 1964 Great Alaska Earthquake | 11:00 AM | 15 | View |
Total: | 195 Minute(s) |
Coseismic Ground Failure: Advances in Modeling, Impacts and Communication
Description