DETECTION OF A SEISMIC SIGNAL BY A THREE-COMPONENT SEISMIC STATION AND DETERMINATION OF THE SEISMIC EVENT CENTER

被引:1
作者
Vakaliuk, T. A. [1 ]
Pilkevych, I. A. [2 ]
Hordiienko, Y. O. [3 ]
Loboda, V. V. [4 ]
Saliy, A. O. [5 ]
机构
[1] Zhytomyr Polytech State Univ, Dept software Engn, Zhytomyr, Ukraine
[2] Korolov Zhytomyr Mil Inst, Dept Comp Informat Technol, Zhytomyr, Ukraine
[3] Korolov Zhytomyr Mil Inst, Res Dept Sci Ctr, Zhytomyr, Ukraine
[4] Korolov Zhytomyr Mil Inst, Sci Ctr, Zhytomyr, Ukraine
[5] Korolov Zhytomyr Mil Inst, Course Officer Retraining & Adv Training Courses, Zhytomyr, Ukraine
关键词
Earthquake; seismic waves; seismic signal; signal detection; three-component seismic station; seismic monitor-ing; automatically controlled monitoring system; source of emergency; AUTOMATIC PICKING; PHASE;
D O I
10.15588/1607-3274-2023-4-16
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Context. The work is devoted on the development of theoretical foundations aimed at automating process of determining loca-tion at the seismic event center. Objective. The purpose of the work is to develop a method for determining the center of a seismic event based on the use of the features of the angular characteristics of the constituent volume waves of a seismic signal obtained with the help of a three -component seismic station. The proposed method will reduce the time it takes to provide users with preliminary information about the fact of a seismic event and its parameters. Method. The method of automatic detection focal point is based on features of orthogonality in the angular characteristics vol-ume waves registered sample of three-component seismic recordings from a certain direction. Implementation of the proposed approaches makes it possible to reduce the processing time of the seismic record with appropriate reliability compared to processing in manual mode.An example application of the proposed method (algorithm) for processing a seismic signal in the Vrancea zone on 27.10.2004 with magnitude M=5.7 is considered. Results. The proposed approach to processing the measured data of a separate seismic three-component seismic station using a polarization analysis device allows detecting the arrival of a seismic signal, identifying the main components of a seismic signal, and estimating the location of the epicenter of a seismic event.Experimental research on the use of the proposed algorithm for determining the location of the epicenter of a seismic event showed that the time of establishing an emergency event within the borders of Ukraine was reduced five times (from 15 to 3 minutes), and the detection error was 37 km. Conclusions. The formed basis and proposed approach to detecting a seismic signal, identifying its components and determining a seismic event focal point based on results of processing a three-component seismic record are effective. Proposed method (algo-rithm) should be used to automate process of seismic signal detection by a three-component seismic station and to determine the seismic event center.
引用
收藏
页码:175 / 183
页数:9
相关论文
共 14 条
[1]  
Aiello G, 2019, Journal of Geography and Cartogram, DOI [10.24294/jgc.v0i0.1101, DOI 10.24294/JGC.V0I0.1101]
[2]  
[Anonymous], 2013, The Official Bulletin of the Verkhovna Rada of Ukraine
[3]   Possible Generation of Quasi-Periodic Magnetic Precursors of Earthquakes [J].
Chernogor, L. F. .
GEOMAGNETISM AND AERONOMY, 2019, 59 (03) :374-382
[4]  
Dorussen H., 2018, EU-Japan security cooperation, P127
[5]   Automatic picking of P and S phases using a neural tree [J].
Gentili, S. ;
Michelini, A. .
JOURNAL OF SEISMOLOGY, 2006, 10 (01) :39-63
[6]  
Hordiienko Y., 2021, 2021 IEEE 8 INT C PR, P267, DOI [10.1109/PICST54195.2021.9772159, DOI 10.1109/PICST54195.2021.9772159]
[7]  
Lewis W., 2017, SEG TECHNICAL PROGRA, P1512, DOI DOI 10.1190/SEGAM2017-17627643.1
[8]  
Liashchuk O., 2020, EGU2020-3895, DOI [10.5194/egusphere-egu2020-3895, DOI 10.5194/EGUSPHERE-EGU2020-3895]
[9]  
Lorido-Botran T., 2022, Journal of Edge Computing, V1, P43, DOI [10.55056/jec.572, DOI 10.55056/JEC.572]
[10]   Polarization filtering for automatic picking of seismic data and improved converted phase detection [J].
Reading, AM ;
Mao, WJ ;
Gubbins, D .
GEOPHYSICAL JOURNAL INTERNATIONAL, 2001, 147 (01) :227-234