eprintid: 1438 rev_number: 12 eprint_status: archive userid: 2 dir: disk0/00/00/14/38 datestamp: 2015-02-20 13:03:39 lastmod: 2017-02-08 12:21:44 status_changed: 2015-04-27 12:10:54 type: article metadata_visibility: show creators_name: Zhuang, Jiancang creators_name: Ogata, Yosihiko creators_name: Vere-Jones, David corp_creators: Institute of Statistical Mathematics, Tokyo, Japan. corp_creators: Institute of Statistical Mathematics, Tokyo, Japan corp_creators: School of Mathematical and Computer Sciences, Victoria University of Wellington, Wellington, New Zealand title: Analyzing earthquake clustering features by using stochastic reconstruction ispublished: pub subjects: SS divisions: EPOS-P full_text_status: none keywords: stochastic reconstruction, stochastic declustering, ETAS model, point process, aftershock, triggered seismicity abstract: 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. date: 2004-05-04 date_type: published publication: Journal of Geophysical Research volume: 109 number: B5 publisher: American Geophysical Union pagerange: 1-17 id_number: doi:10.1029/2003JB002879 refereed: TRUE issn: 0148-0227 official_url: http://dx.doi.org/10.1029/2003JB002879 access_IS-EPOS: limited owner: Publisher citation: Zhuang, Jiancang and Ogata, Yosihiko and Vere-Jones, David (2004) Analyzing earthquake clustering features by using stochastic reconstruction. Journal of Geophysical Research, 109 (B5). pp. 1-17. DOI: https://doi.org/10.1029/2003JB002879