Automatic post processing algorithm for passive seismic monitoring data

25th IUPAP Conference on Computational Physics

物理学;计算机科学

Nepeina, K.^1

Institute of Geosphere Dynamics, Russian Academy of Scince, Moscow, Russia^1

关键词: Detection and identifications;    Neural classification;    New approaches;    Passive sensor;    Postprocessing algorithms;    Quantitative parameters;    Seismic arrays;    Seismic monitoring;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/510/1/012007/pdf
DOI  :  10.1088/1742-6596/510/1/012007

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.