English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Automatic event detection with back projected method: Example of Taiwan seismic network

Authors

Huang,  Bor-Shouh
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Ku,  Chin-Shang
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Lin,  Chin-Jen
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Jiang,  Juen-Shi
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Yen-Ling Eileen,  Chen
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Kuo-Chang,  Chen
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

Huang, B.-S., Ku, C.-S., Lin, C.-J., Jiang, J.-S., Yen-Ling Eileen, C., Kuo-Chang, C. (2023): Automatic event detection with back projected method: Example of Taiwan seismic network, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3177


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020409
Abstract
Automatic earthquake monitoring is widely used by a seismic network and fast reported for significant events. Traditional earthquake location methods require P-wave and S-wave manual phase picking or accurate automatically obtained first arrivals as first step. The event location is determined based on the inversion to best fit of all travel times. In this study, we design a procedure to locate earthquakes based on back-projection stacking of seismic energy. The stacking of seismograms using a varying time delay computation based on a regional crustal model. The grid search is used to fine optimum location in 3-D spatial grids based on the maximal value of all stacked seismograms after tested all grids of the model. Synthetic test indicated the stable results to find collect location and original time.Taiwan is one of the most seismically active regions in the world. The seismic networks of CWBSN, TSMIP and BATS are designed for different purposes to record seismic ground motion in Taiwan. Almost those real-time data streams are continuously transmitted back to Academia Sinica. We have tested event location based the catalog of the CWB fast report using this dataset. The real data testing got high consistent results of event within network and moderate consistency for event located in the border of network. Our determination procedure is under polishing to get stable results and speed the process time. It provides a potential application to join the system of earthquake warning system in Taiwan and other seismic tectonic applications in the near further.