JpGU-AGU Joint Meeting 2017

Session information

[EJ] Poster

S (Solid Earth Sciences) » S-CG Complex & General

[S-CG70] [EJ] Analysis and Prediction of Near-Source Strong Ground Motions: Present Status and Future Perspective

Wed. May 24, 2017 10:45 AM - 12:15 PM Poster Hall (International Exhibition Hall HALL7)

convener:Kimiyuki Asano(Disaster Prevention Research Institute, Kyoto University), Takao Kagawa(Tottori University Graduate School of Engineering), Hongjun Si(Seismological Research Institute Inc.), Haruo Horikawa(Institute of Earthquake and Volcano Geology, National Institute for Advanced Science and Technology)

Damaging earthquakes such as the 1994 Northridge and the 1995 Kobe earthquakes drew attention to near-source strong ground motions in seismological and earthquake engineering communities. Many important strong motion records have been accumulated with the progress of strong motion observation, and such important strong motion data drove the studies on the generation mechanism of near-source strong ground motions. Accumulation of scientific knowledge on near-source ground motion generation has made substantial progress in development of strong motion prediction during the decades, and results of strong motion prediction have been widely applied to producing hazard maps and investigation of design basis ground motions for important facilities. The 2016 Kumamoto earthquake sequence generated severe strong ground motions in near-fault area with observation of JMA intensity of 7 for two times, and it raised new issues on strong motion prediction for active faults. Ocean-bottom strong motion observation networks such as S-net and DONET are also launching, and these new networks would be expected to provide near-source strong ground motion records even in ocean area. Thus, it is timely to review the progress of studies for near-source strong ground motions and discuss future perspectives for advancing strong motion prediction methods. We widely invite contributions from all aspects of this subject.




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