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Office location: Rm 38, 2nd floor, South Wing, UCL Main Quadrangle
Title: A non-extensive statistical physics approach to the seismicity in subduction zones. Application to the geodynamic system of the Hellenic arc
Supervisors: Prof Peter Sammonds, Director IRDR, Prof Filippos Vallianatos, Technological Institute of Crete
Source(s) of funding: IKY(State Scholarships Foundation), Greece
Address: UCL Institute for Risk and Disaster Reduction, University College London, Gower Street, London, WC1E 6BT
Phone No: 020 3108 1107
In recent years, there has been a growing interest in approaching seismicity and other natural hazards using the science of complex systems and the fractal nature of those phenomena. The evolution of tectonically active regions is expressed through seismicity and is characterized by complex phenomenology.
The Hellenic Subduction Zone (HSZ) is the most seismically active region in Europe. Many destructive earthquakes have taken place along the HSZ in the past.
The spatiotemporal distribution of seismicity as well as the magnitude distribution of earthquakes is studied using the concept of Non Extensive Statistical Physics (NESP), which is a generalization of Boltzmann-Gibbs statistical physics.
The aim of the study is to find a possible connection between the calculated thermostatistical parameters and their spatiotemporal variation along the HSZ, which can characterize the physical state of this seismic area. The thermostatistical parameter qM, which is related with the earthquake magnitude distribution, could be used as an additional index to inform us about the physical state of the HSZ.
Furthermore, the behaviour of the calculated thermostatistical parameters before and after a great earthquake will be examined at the HSZ, as well as other subductive regimes (i.e. Japan). In addition, the application of the Weibull distribution to the interevent times of the earthquake sequences is examined.
The NESP approach should help to elucidate the physical evolution of an active tectonic area, and the use of the associated calculated thermostatistical parameters as earthquake precursors could be of crucial importance.