relation: https://episodesplatform.eu/eprints/1518/
title: Application of pattern recognition techniques to earthquake catalogs generated by model of segmented fault systems in three-dimensional elastic solids
creator: Eneva, Mariana
creator: Ben-Zion, Yehuda
subject: Clustering and migration
description: Techniques and seismicity parameters described by Eneva and Ben-Zion [ 1997]  are used to examine synthetic earthquake catalogs generated by Ben-Zion [ 1996] for precur-  sory patterns of large model events. Different model realizations  represent various levels of  fault zone disorder. These include models with uniform properties (U), a Parkfield-type as-  perity (A), fractal brittle properties (F), and multi-size-scale heterogeneities  (M). The seis-  micity parameters used are based on information contained  in typical earthquake catalogs  reflecting earthquake distribution  in space, time, and size. The analysis highlights the com-  plexity of the information content of the synthetic earthquake catalogs. Simple repetitive  precursory signals have not been found. However, local extrema in the examined parameters  are found to have significant association  in time with large events. Thus our techniques and  parameters may be useful for intermediate-term  earthquake prediction, especially when pa-  rameters are used in combinations. Some analysis results are the same for all model realiza-  tions and some depend on the model. Features characterizing all catalogs are as follows: (1)  Large model events are statistically predictable on the basis of patterns in the distribution of  smaller events. (2) For a given parameter, the type of precursory extrema (maxima or min-  ima) is the same for all models. (3) The interparameter correlation for any parameter pair has  the same sign (positiv e or negative) in all models. (4) The large events are neither slip- nor  time-predictable based on previous large events. Results that differ from model to model  include the following: (1) The degree of predictability of large events correlates with the  degree of regularity in the assumed  fault properties, following the order U, F, A, and M. (2)  There is no one-to-one correlation between type of precursory extrema (maxima or minima)  and type of precursory  trends (increase or decrease);  this produces great variations in observ-  able trends for any given parameter, both from model to model and for different events in the  same model. (3) The interparameter  correlations  vary among models, with the highest corre-  lations in model F. Most discussed patterns are in agreement with observations  from seismi-  cally active zones, laboratory models, and mining-induced seismicity.
publisher: American Geophysical Union
date: 1997-11-10
type: Article
type: PeerReviewed
identifier:   Eneva, Mariana and Ben-Zion, Yehuda  (1997) Application of pattern recognition techniques to earthquake catalogs generated by model of segmented fault systems in three-dimensional elastic solids.  Journal of Geophysical Research, 102 (B11).  pp. 24513-24528. DOI: https://doi.org/10.1029/97JB01857 <https://doi.org/10.1029/97JB01857>     
relation: http://dx.doi.org/10.1029/97JB01857
relation: doi:10.1029/97JB01857