9:00 AM - 9:15 AM
[SSS09-16] Development of a Tentative Version of the Unified Strong-motion Database and Future Utilization
Keywords:Strong-motion Records, Seismic Hazard Assessment, Epistemic Uncertainty, Ground Motion Model
In order to solve such problems, we have been studying to develop a database that is linked to the data processing of strong-motion observation records by a unified method, as well as to the unified source and site information. We have now developed a tentative version of the “Unified Strong-motion Database" consists of all K-NET and KiK-net publicly available records until the end of 2022. The database consists of three files: a source file, a station file, and a strong-motion index file. The strong-motion indices, the source file, and the station file are linked by the source ID and site ID, respectively. We have also developed a tool that allows users to extract the earthquake, station, and strong-motion indices they need and output them in a single file.
Currently, we are developing several ground motion models based on the unified database (including improvement of existing models) and developing a method to evaluate the performance of these models. The "performance evaluation" here is mainly focused on the development of methods to evaluate the performance of the models in extrapolated regions where no or few observation records are available. The database will be made publicly available during of 2023, and further utilization and upgrading of the database will be promoted in the future. In addition, the possibility of collaboration is being considered for observation records by organizations other than the National Research Institute for Earth Science and Disaster Resilience (NIED).
Acknowledgments: This work was made possible by the activities of the "Working Group for Developing the Unified Strong-motion Database" in NIED. We would like to express our gratitude to the working group members, NIED, Tokio Marine dR Co., Ltd., Ohsaki Research Institute Inc., Kobori Research Complex Inc., Mitsubishi Electric Software Corp., Seismological Research Institute, Inc., RIKEN and OYO Corporation. In addition, part of this study was supported by JSPS Grant-in-Aid for Scientific Research (20H00292).