TY  - JOUR
ID  - epos1438
UR  - http://dx.doi.org/10.1029/2003JB002879
IS  - B5
A1  - Zhuang, Jiancang
A1  - Ogata, Yosihiko
A1  - Vere-Jones, David
N2  - On the basis of the epidemic-type aftershock sequence (ETAS) model and the thinning procedure, this paper gives the method about how to classify the earthquakes in a given catalogue into different clusters stochastically. The key points of this method are the probabilities of one event being triggered by another previous event and being a background event. Making use of these probabilities, we can reconstruct the functions associated with the characteristics of earthquake clusters to test a number of important hypotheses about the earthquake clustering phenomena. We applied this reconstruction method to the shallow seismic data in Japan and also to a simulated catalogue. The results show the following assertions: (1) The functions for each component in the formulation of the space-time ETAS model are good enough as a first order approximation for describing earthquake clusters; (2) a background event triggers less offspring in expectation than a triggered event of the same magnitude; (3) the magnitude distribution of the triggered event depends on the magnitude of its direct ancestor; (4) the diffusion of the aftershock sequence is mainly caused by cascades of individual triggering processes, while no evidence shows that each individual triggering process is diffusive; and (5) the scale of the triggering region is still an exponential law, as formulated in the model but not the same one for the expected number of offspring.
VL  - 109
TI  - Analyzing earthquake clustering features by using stochastic reconstruction
AV  - none
EP  - 17
Y1  - 2004/05/04/
PB  - American Geophysical Union
JF  - Journal of Geophysical Research
KW  - stochastic reconstruction
KW  -  stochastic
declustering
KW  -  ETAS model
KW  -  point process
KW  -  aftershock
KW  -  triggered seismicity
SN  - 0148-0227
SP  - 1
ER  -