R&D Activities - Subprojects(b)
Natural science field Aiming to improve predictive capability
Collection and integration of ultra high-density ground motion data through public-private cooperation.
Stably operating the Metropolitan Seismic Observation network (MeSO-net), Subproject (b) develops multi-data integration sysytem to integrate seismic data from NIED seismic networks such as nationwide observation networks for earthquakes, tsunamis and volcanoes over land and sea (MOWLAS) and MeSO-net with a large amount of the shaking data held by private companies, and to make the information products produced from the integrated data available. In order to collect dense observation data, techniques to observe shaking using smartphones and to transmit observed data from satellite devices to MeSO-net stations are developed. To evaluate seismic hazards in Tokyo Metropolitan area, we understand seismic activity from past to present, and develop prediction methods for ground motion caused by large earthquakes in future.