The 2021 SSJ Fall Meeting

Presentation information

Room C

Regular session » S09. Statistical seismology and underlying physical processes

AM-1

Thu. Oct 14, 2021 9:00 AM - 10:30 AM ROOM C (ROOM C)

chairperson:Naofumi Aso(Tokyo Institute of Technology), Taku Ueda(University of Tokyo)

9:15 AM - 9:30 AM

[S09-02] Long-term probability earthquake forecasts based on the ETAS model

〇Jiancang ZHUANG1 (1.The Institute of Statistical Mathematics)

Based on the ETAS (epidemic-type aftershock sequence) model,
which is used for describing the features of short-term clustering of earthquake occurrence, this paper presents some theories and techniques related to evaluating the probability distribution of the maximum magnitude in a given space-time window, where the Gutenberg-Richter law for earthquake magnitude distribution cannot be directly applied. It is seen that the distribution of the maximum magnitude in a given space-time volume is determined in the long-term by the background seismicity rate and the magnitude distribution of the largest events in each earthquake cluster. The techniques
introduced were applied to the seismicity in the Italy and Southern California regions.

Figure: Spatial variations of the ETAS parameters in the Italy region.