Automatic post processing algorithm for passive seismic monitoring data

The problem of monitoring of different types of seismic events – geoacoustic precursors of earthquakes, industrial and field explosions, places fragments fall of separating parts of rockets-carriers, etc. is one of the key in the modern ecology of the environment. The peculiarity of this kind of mon...

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Bibliographic Details
Published in:Journal of physics. Conference series 2014-01, Vol.510 (1), p.12007-9
Main Author: Nepeina, K
Format: Article
Language:English
Subjects:
Algorithms
Classification
Earthquake prediction
Earthquakes
Environmental monitoring
Explosions
Monitoring
Physics
Rockets
Seismic activity
Seismic phenomena
Seismic surveys
Sensor arrays
Tasks
Waveforms
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Summary:The problem of monitoring of different types of seismic events – geoacoustic precursors of earthquakes, industrial and field explosions, places fragments fall of separating parts of rockets-carriers, etc. is one of the key in the modern ecology of the environment. The peculiarity of this kind of monitoring is that it is mobile seismic groups, which should be based in the proposed area of occurrence of events. One of the most important steps for solving the problems connected with the detection and identification of recorded data from passive sensors in mobile seismic array (MSA). The task of determining the nature of the source and its' coordinates lies in the basis of direction, referred to as the geoacoustic location. Using a new approach (not by location but by neural classification of waveform "portraits") usability of algorithm which based on quantitative parameters of signal will be demonstrated.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/510/1/012007