English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Semi-realtime scenario fault estimation judged by ground motion time histories

Authors

Miyake,  Hiroe
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Furumura,  Takashi
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Morikawa,  Nobuyuki
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Takahashi,  Mari
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Hayakawa,  Toshihiko
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in GFZpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

Miyake, H., Furumura, T., Morikawa, N., Takahashi, M., Hayakawa, T. (2023): Semi-realtime scenario fault estimation judged by ground motion time histories, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4786


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021193
Abstract
To estimate a potential source fault after an earthquake is important for seismic hazard assessment (e.g., FinDer). Using pre-calculated ground motion time histories will be useful for earthquake evaluation to grasp which scenario earthquakes are similar to each other within a few hours to half a day when an earthquake occurs. We develop a method to compare observed ground motions by NIED K-NET/KiK-net with simulated ground velocities from the NIED J-SHIS database that for the Scenario Seismic Hazard Maps in the National Seismic Hazard Maps 2020, targeting active faults in Japan. Based on the comparison of velocity ground motion time histories with a 0.1-1 Hz band-pass filter, cross-correlation coefficients with/without amplitude normalization were obtained, and scenario fault candidates were ranked. We applied this method to the 2016 Kumamoto earthquake sequence. The fault selection for the foreshock worked well, supporting the proposed method. However, the mainshock did not select the ruptured fault identified by the ground truth. One of the reasons is the different dominant frequency between the observation and pre-calculated ground velocities, indicating the necessity of further adjustment.