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• W2344066770 abstract "A brief overview of the state-of-the-art in thefield of earthquake study and forecasting is presented in this paper. Weanalyze the principles of the methods of determining the coordinates ofearthquake focuses by means of ground seismic stations. We demonstrate thatthose methods cannot be used in the system for monitoring of the beginning ofthe earthquake preparation process (in the network of RNM ASP stations). As weknow, the earthquake preparation process is accompanied by spreading noisyseismic-acoustic signals. Theoretically, the system for monitoring of thebeginning of the earthquake preparation process is based on the technologiesfor seismic-acoustic signal processing-Robust Noise Monitoring (RNM). Noisecharacteristics determined by RNM technologies indicate the beginning ofanomalous seismic processes (ASP) and, consequently, the possibility of ASPmonitoring. Considering that the seismic-acoustic signal can be represented asthe sum of the useful signal and noise, we present the technologies fordetermining noise characteristics. It is demonstrated in the paper that achange in the estimate of the cross-correlation function between the usefulsignal and the noise, noise variance and the value of noise correlationdetermine the beginning of ASP. One RNM ASP station determines the beginning ofASP within a radius of about 500 km. Determining the location of an expectedearthquake requires a network of RNM ASP stations. We analyze the results ofnoise technology-based monitoring of anomalous seismic processes performedfrom July 2010 to June 2015 on nine seismic-acoustic stations built at the headof 10 m, 200 m, 300 m and 1400 - 5000 m deep wells. Based on the results of theexperimental data obtained in the period covering over three years, anintelligent system has been built, which allows for identifying the location ofthe zone of an earthquake, using the combinations of time of change in theestimate of the correlation function between the useful signal and the noise ofthe seismic-acoustic information received from different stations 10 - 20hours before the earthquake. In the long term, the system can be used byseismologists as a tool for determining the location of the zone of an expectedearthquake." @default.
• W2344066770 created "2016-06-24" @default.
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• W2344066770 date "2016-01-01" @default.
• W2344066770 modified "2023-10-01" @default.
• W2344066770 title "Intelligent Seismic-Acoustic System for Identifying the Location of the Areas of an Expected Earthquake" @default.
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• W2344066770 doi "https://doi.org/10.4236/gep.2016.44018" @default.
• W2344066770 hasPublicationYear "2016" @default.
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