Estimation of magnitude and the depth of the subcrustal source of Vrancea zone in quasi-real time scale by the connectionist simulation

Authors

  • M. Lazarenko S.I. Subbotin Institute of Geophysics of the National Academy of Sciences of Ukraine, Kyiv, Ukraine
  • O. Gerasimenko S.I. Subbotin Institute of Geophysics of the National Academy of Sciences of Ukraine, Kyiv, Ukraine

DOI:

https://doi.org/10.24028/gzh.0203-3100.v35i4.2013.111423

Abstract

The heading portions of Vrancea three component earthquakes, recorded by Odessa seismic station, are used for development of neural network model of quake’s magnitude and hypocentral depth prediction. The validity of prediction is demonstrated for different components and time­window length used for neural network training. The magnitude assessment by the leading time interval of seismic signal can be used for seismic hazard mitigation in the spot of recording.

References

Лазаренко М. А., Герасименко О. А. Використання нейронних мереж для побудови годографів сейсмічних хвиль // Вісн. Київ. ун­ту. Геологія. — 2004. — Вип. 30. — С. 93—97.

Рихтер И. Ф. Элементраная сейсмология. — Москва: Изд. иностр. лит., 1963. — 670 с.

Leach R. R. J, Dovla F. U., Vergiuo E. S. Yeld estimation using bangpass­filtered seismograms: Prelimenary results Using Neural Networks with mb(Pn), Shorttime, Long­time, and Coda energy Measurments // Bull. Sеism. Soc. Amer. — 1993. — 87, № 2. — P. 488—508.

Magotra N., Ahmed N., Chael E. Seismic Event detection and source Location Using Single­Station (Three­Component) Data //Bull. Seism. Soc. Amer. — 1987. — 77, № 3. — P. 958—971.

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Published

2013-08-01

How to Cite

Lazarenko, M., & Gerasimenko, O. (2013). Estimation of magnitude and the depth of the subcrustal source of Vrancea zone in quasi-real time scale by the connectionist simulation. Geofizicheskiy Zhurnal, 35(4), 109–114. https://doi.org/10.24028/gzh.0203-3100.v35i4.2013.111423

Issue

Vol. 35 No. 4 (2013)

Section

Articles

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