<> <http://www.w3.org/2000/01/rdf-schema#comment> "The repository administrator has not yet configured an RDF license."^^<http://www.w3.org/2001/XMLSchema#string> .
<> <http://xmlns.com/foaf/0.1/primaryTopic> <http://episodesplatform.eu/eprints/id/eprint/1518> .
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<http://episodesplatform.eu/eprints/id/eprint/1518> <http://purl.org/dc/terms/title> "Application of pattern recognition techniques to earthquake catalogs generated by model of segmented fault systems in three-dimensional elastic solids"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://episodesplatform.eu/eprints/id/eprint/1518> <http://purl.org/ontology/bibo/abstract> "Techniques and seismicity parameters described by Eneva and Ben-Zion [ 1997] \nare used to examine synthetic earthquake catalogs generated by Ben-Zion [ 1996] for precur- \nsory patterns of large model events. Different model realizations  represent various levels of \nfault zone disorder. These include models with uniform properties (U), a Parkfield-type as- \nperity (A), fractal brittle properties (F), and multi-size-scale heterogeneities  (M). The seis- \nmicity parameters used are based on information contained  in typical earthquake catalogs \nreflecting earthquake distribution  in space, time, and size. The analysis highlights the com- \nplexity of the information content of the synthetic earthquake catalogs. Simple repetitive \nprecursory signals have not been found. However, local extrema in the examined parameters \nare found to have significant association  in time with large events. Thus our techniques and \nparameters may be useful for intermediate-term  earthquake prediction, especially when pa- \nrameters are used in combinations. Some analysis results are the same for all model realiza- \ntions and some depend on the model. Features characterizing all catalogs are as follows: (1) \nLarge model events are statistically predictable on the basis of patterns in the distribution of \nsmaller events. (2) For a given parameter, the type of precursory extrema (maxima or min- \nima) is the same for all models. (3) The interparameter correlation for any parameter pair has \nthe same sign (positiv e or negative) in all models. (4) The large events are neither slip- nor \ntime-predictable based on previous large events. Results that differ from model to model \ninclude the following: (1) The degree of predictability of large events correlates with the \ndegree of regularity in the assumed  fault properties, following the order U, F, A, and M. (2) \nThere is no one-to-one correlation between type of precursory extrema (maxima or minima) \nand type of precursory  trends (increase or decrease);  this produces great variations in observ- \nable trends for any given parameter, both from model to model and for different events in the \nsame model. (3) The interparameter  correlations  vary among models, with the highest corre- \nlations in model F. Most discussed patterns are in agreement with observations  from seismi- \ncally active zones, laboratory models, and mining-induced seismicity."^^<http://www.w3.org/2001/XMLSchema#string> .
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<http://episodesplatform.eu/eprints/id/person/ext-66a8fe187d29582fd995e5cff7f71415> <http://xmlns.com/foaf/0.1/familyName> "Ben-Zion"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://episodesplatform.eu/eprints/id/person/ext-66a8fe187d29582fd995e5cff7f71415> <http://xmlns.com/foaf/0.1/name> "Yehuda Ben-Zion"^^<http://www.w3.org/2001/XMLSchema#string> .
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<https://episodesplatform.eu/eprints/1518/> <http://purl.org/dc/elements/1.1/title> "HTML Summary of #1518 \n\nApplication of pattern recognition techniques to earthquake catalogs generated by model of segmented fault systems in three-dimensional elastic solids\n\n" .
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