Determination of Earthquake Focal Mechanism Using Artificial Intelligence

Kaftan İ., Şenol Y., Kalkar B., Gök E.

7th International Conference on Earthquake Engineering and Seismology (7ICEES), Antalya, Turkey, 6 - 10 November 2023, pp.1-7

  • Publication Type: Conference Paper / Full Text
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.1-7
  • Dokuz Eylül University Affiliated: Yes


Abstract. Focal mechanism solution is important to analyze faulting type, fault           geometry, and to evaluate aftershock patterns after a devastating earthquake occurs. Focal mechanisms were obtained by S/P amplitude ratios and P wave polarities, are fundamental data to investigate the geometry of fault zone, slip size, and the crustal stress field. Methods for solving the focal mechanism conventionally, have categories such as full waveforms, first motions of P waves, amplitudes of P or S waves, based on the waveform information used. Due to the difficulty in distinguishing phase arrivals and first-motion polarities from noise, it is hard to determine the focal mechanism solutions of small earthquakes. In this study, to overcome this difficulty, we applied  artificial intelligence to solve the focal mechanisms of small earthquakes in  Izmir and its surroundings, where there is high microearthquake activity. The data set required for artificial intelligence applications was generated by using the records of earthquake stations located in  western Turkey, especially in Izmir and its surroundings. Focal mechanism solution for Buca earthquake  was determined by using Artificial neural networks are a branch of artificial intelligence. We compare the results obtained with artificial intelligence and traditional methods, and it is seen that artificial intelligence can be applicable for the focal mechanism solutions.