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The work presents the results of research aiming to find effective prediction methods of seismic hazards along the panel lengths of the ongoing and planned mining works. There was presented the possibility use of statistics, analytical and empirical methods for prediction of induced seismicity. High-energy tremors often are a source of the strongly felt surface vibrations. There were also discussed the methods of assessment of ground vibrations accelerations. Particular emphasis was placed on determination of the amplification coefficient and directivity of ground vibrations' propagation. Author has also written about the use of artificial neural networks for the prediction of seismic hazard and magnitude of ground vibration.
About the author
The author is a researcher of the Faculty of Mining and Geology of Silesian University of Technology, Gliwice, Poland. His research interests include the following topics: mine induced seismicity, prediction of seismic hazard, ground vibrations generated by induced seismicity, the use of passive seismic tomography, natural hazards in mines.
