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EARTHQUAKE PREDICTION FOR THE CALIFORNIA'S SAN ANDREAS SPLIT USING AUTOMATIC SYSTEM COGNITIVE ANALYSIS Прогнозирование землетрясений на основе астрономических данных с применением аск-анализа на примере большого калифорнийского разлома Сан-Андреас

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Author(s): Cherednychenko N. A. | Lutsenko Y. V. | Bandyk D. K. | Trunev A. P.

Journal: Polythematic Online Scientific Journal of Kuban State Agrarian University
ISSN 1990-4665

Issue: 91;
Start page: 1309;
Date: 2013;
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Keywords: SEMANTIC INFORMATION MODEL | COMPUTATIONAL EXPERIMENT | SEISMOGENESIS | EARTHQUAKES | SHORT-TERM PREDICTIONSOF EARTHQUAKES

ABSTRACT
On the basis of local semantic information of the models of California the dependence of parameters seismic activity on the position of the space objects has been investigated and the model of short-term earthquake prediction has been created. The formal criteria of astronomical parameters of high informative value in the preparation and implementation of earthquakes have been established. On the example of semantic models, we have developed criteria for seismic hazard zones for individual study of the region of California 2x2 degrees of longitude and latitude with regard to the intended depth of the hypo-center and magnitude of possible earthquakes
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