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Preliminary program for Young Seismologists Training Course

Topic 1. GIS analysis for seismological problems

Prof. Valery Gitis, Kharkevich Institute of information transmission problems RAS, Moscow, Russia.
Dr. Alexander Derendyaev, Kharkevich Institute of information transmission problems RAS, Moscow, Russia.

The course combines the theoretical fundamentals on geoinformation analysis, technology, examples of problem solving, and practical training session on web-GIS.
The aim of the course is that students have gained knowledge in the techniques of spatial and spatio-temporal data analysis as well as acquired skills to apply Web-GIS GeoProcessor and GeoTime to solve problems of seismology.


1. Fundamentals of GIS analysis.

  • Geoinformation model of the geographic world.
  • The objectives and tools of geo-analysis.
  • Web-GIS architecture.
  • Web-GISs GeoProcessor and GeoTime.

2. Technology of spatial forecasting.

  • Spatial analysis techniques.
  • Spatial analysis of the maximum energy of expected earthquakes (Northern Caucasus).
  • Spatial evaluation of the maximum direct damage from earthquakes (Northern Caucasus).

3. Technology of spatio-temporal analysis.

  • Spatio-temporal analysis techniques.
  • Calculation of dynamic fields representing the parameters of the seismic process (minimal representive magnitude, seismic activity, b-value, d-value, RTL). The methods for detecting non-stationarity in dynamical fields. The method of estimating the parameters of space-time anomalies.
  • Space-time analysis of noise in the earthquake catalogue (Western Turkey).
  • Detection of earthquake precursors on the time series (Tangshan earthquake) and the earthquake catalogues of (Suusamyr earthquake).
  • Analysis of the dynamics of interaction between the fields of seismicity and earth surface deformations.

4. The practice of spatial and spatio-temporal analyzing and forecasting.


Topic 2. Fundamentals of data mining of the statistical properties of scalar time series and sequences of events

Prof. Alexey Lyubushin, Russia, Schmidt Institute of Physics of the Earth RAS, Moscow, Russia.

The course combines the theoretical basis of spectral, temporal-spectral and wavelet analysis of geophysical signals (time series and sequences of events), and examples of processing real data observations.
The aim of the course is that students have acquired knowledge of the methods of analysis of geophysical signals and familiarized with the basic concepts of applied statistics of time series based on the use of interactive software package Spectra_Analyzer and PPPeriod.


1. Basic concepts of signal analysis.

  • The power spectrum, methods of its estimates, power spectrum estimates within moving time window.
  • Smoothing of a time-series, Gaussian kernel and locally-polynomial trends.
  • Continuous time-frequency Morlet's wavelet diagrams.
  • The orthogonal wavelet decomposition, wavelet threshold filtering, wavelet packet decomposition.

2. Examples of the analysis of real signals.

  • Extracting periodicities in the noise.
  • Detecting of arrivals from the weak events.

3. Elements of event sequences analysis.

  • Poisson process, the likelihood function of non-stationary Poisson process.
  • Extracting of periodic components of the intensity of event sequences by estimating the increment of the logarithmic likelihood function, compared with a stationary Poisson process.
  • Samples of periodicities extracting in the seismic regime.


Topic 3. Seismology in mines


Dr. Dmitry Malovichko, Institute of Mine Seismology, Hobart, Australia

Dr. Ruslan Dyagilev, Mining Institute Ural Branch of RAS, Perm, Russia

The course includes basic information about application of seismic monitoring in mines. Practical examples of seismic monitoring in various mining environments are presented. Finally the course participants are acquainted with the specialized software of processing and analysis of seismic monitoring data.


1.  Principles.

  • Dynamic rock mass response to mining (rock bursts, seismic events in mines, natural (tectonic) and induces seismicity).
  • Objectives of seismic monitoring in mines.
  • Seismic monitoring systems.
  • Principles of processing and interpretation of seismic monitoring data.

2. Practical Examples.

  • Deep tabular mines: assessment of seismic hazard.
  • Black cave mining: monitoring of the cave front advancement.
  • Potash mines: monitoring of karst processes.
  • Open pits: stability of the slopes.

3. Practice.

  • Analysis of a large seismic event (location of the source, source mechanism inversion and interpretation).
  • Analysis of seismic activity (location of the sources, statistical characteristics of the seismicity, interpretation of the seismicity).

Recommended literature
Gibowicz S.J., Kijko A. An introduction to mining seismology. - San Diego: Academic Press Inc., 1994. – 400 p.

Mendecki A.J. Seismic monitoring in mines. - London: Chapman and Hall, 1997. – 280 p.



Please address your questions on participation in GA ESC 2012, Young Seismologists Training Course, abstract submission, booking and acquiring of services, online registration system usage and website functioning to the Assembly Secretariat:

GA ESC 2012 Technical secretariat
Tel./Fax: +7 (495) 726-5135
Mob.: +7 (925) 278-84-55
e-mail: esc2012@onlinereg.ru







ESC 2012 Technical secretariat
+7 (495) 726-5135
Mob.: +7 (925) 278-84-55