ベイズ推定を用いた一元化震源のための自動震源推定手法 Automatic Hypocenter Determination for the Seismological Bulletin of Japan Using Bayesian Estimation

Koji Tamaribuchi, Ken Moriwaki, Hiroshi Ueno, Shin Ya Tsukada
unpublished
A quick estimation of spatial and temporal hypocenter distributions in swarms and aftershocks is essential for taking measures to mitigate earthquake disaster. The automatic hypocenter determination method is important to understand seismic activities in real time. We developed a new method to identify multiple concurrent earthquakes for the Seismological Bulletin of Japan. This method makes integrated use of P-and S-wave arrival times and maximum amplitude. We applied this method to
more » ... in the vicinity of Japan. The probability of detection of earthquakes compared with the bulletin is almost 100% (M ≧1.0) at inland and shallow areas. At offshore or deep areas, it is about 80% (M≧1.0). We also applied this method to the aftershock activity in northern Nagano Prefecture on November 22, 2014. In this case, this method can detect more than 1,700 events in 24 hours, although the current system could detect only 250 events. The example indicates that this method is useful to understand seismic activities in real time.
fatcat:wvcdeumaqrhcvpcqcwgva75oha