Room: Exhibit Hall
Date: 5/2/2024
Session Time: 8:00 AM to 5:45 PM (local time)
The engineering seismology community has made a major effort in recent years to develop advanced ground motion models (GMMs). These developments have been facilitated by the availability of very rich earthquake databases made possible by the expansion of seismological networks around the world and open data policies. However, uncertainties in GMMs remain significant and reducing the epistemic uncertainties is currently one of the main challenges in seismic hazard assessment. In empirical GMMs it is often assumed that the earthquakes are recorded at the free surface of the Earth, that the sensor installation conditions and the seasonal effects can be neglected, and that all instruments provide recordings with reliable amplitudes. In practice, many seismic stations are located at depth (e.g., in borehole, in tunnels) or in an urban environment, errors in the metadata can occur, and detailed site characterization and site-effect assessment are performed only on a limited subset of stations.
With this background, this session welcomes contributions highlighting any effects (from station installation conditions to complex site-effects) that could affect the recorded ground motion, with consequent implications for GMMs, especially at high frequency. Topics of interest include data processing and data quality control, instrument coupling, soil-structure interaction, depth effect (down-going waves), seasonal variations, topography effect, site-effects, site characterization, regional and local attenuation, small-scale heterogeneity and scattering. Studies comparing several techniques at the same site and those integrating a variety of datasets are also encouraged. Studies on improving our current practices in earthquake databases and GMMs development, or on the enhanced understanding of the high-frequency content of seismic records are particularly welcome.
Conveners:
Carlo Cauzzi, ORFEUS, Swiss Seismological Service, ETH Zürich (carlo.cauzzi@sed.ethz.ch)
Fabrice Hollender, CEA Cadarache (fabrice.hollender@cea.fr)
Vincent Perron, CEA Cadarache (vincent.perron@cea.fr)
Zafeiria Roumelioti, University of Patras (zroumelioti@upatras.gr)
Paola Traversa, Electricite de France (paola.traversa@edf.fr)
Poster Presentations
| Participant Role | Details | Action |
|---|---|---|
| Submission | Monitoring Temporal Velocity Variations of Shallow Subsurface and Engineering Structures Using 6c Single-Station Measurement | View |
| Submission | WITHDRAWN Frequency-Dependent Transfer Functions for Hydroseisms in Devils Hole | View |
| Submission | WITHDRAWN High Frequency Seismic Waves of Normal and Leaky Modes Excited by Heavy Trains | View |
| Submission | Progress on the Characterization of Epos-France Accelerometric (Rap) and Broad-Band (Rlpb) Network Station: Focus on Implemented Methodologies | View |
| Submission | The Effect of Short Wavelength Topography on Seismic Recordings: Results of Experiments Conducted on Kefalonia Island in Greece. | View |
| Submission | WITHDRAWN Simulation of Region-Specific Ground Motions at Bedrock by Combining Spectral Decomposition and Empirical Green’s Functions Approaches | View |
| Submission | Geospatial Variable Based Site Terms for Nonergodic Ground Motion Models | View |
| Submission | How Can Shaking Observations From the MyShake Smartphone Platform Inform Free-Field Ground Motion Residual Estimates? | View |
| Submission | Estimating Hazard From Crustal Sources: An Empirical Observation Approach | View |
| Submission | Separation of Intrinsic and Scattering Seismic Wave Attenuation in the Crust of Central and South-Central Alaska | View |
| Submission | NGA-Subduction Region-Specific Ground Motion Models Using Machine Learning Algorithms | View |
| Submission | Ground Motion Models Using Machine Learning Techniques Based on the NGA-West2 Data | View |
| Submission | Developing a Hybrid Ground-Motion Modeling Framework for the Himalayan Region of India | View |
| Submission | Multi-Resolution Basin Terms for Ground Motion Models in Central and Eastern North America | View |
| Submission | WITHDRAWN Domain Confusion in Dispersions Picking Based on Neural Network and the Learning Features From Dispersion Spectrograms | View |
From Earthquake Recordings to Empirical Ground-Motion Modelling [Poster Session]
Description