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
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Subjects: | Methodology > Method and procesing > Collective properties of seismicity > Clustering and migration |
| Project: | IS-EPOS project |