• Title of article

    The Seismicity in the Southern Tyrrhenian Area and its Neural Forecasting

  • Author/Authors

    I. De Falco، نويسنده , , A. Iazzetta، نويسنده , , G. Luongo، نويسنده , , A. Mazzarella ، نويسنده , , E. Tarantino ، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2000
  • Pages
    13
  • From page
    343
  • To page
    355
  • Abstract
    The Southern Tyrrhenian basin is a region characterized by complex tectonics and large-scale geodynamic deformations, and its seismicity has been recently recognized as following fractal laws in its five dimensional set (magnitude, time and space). In particular, the time occurrences of earthquakes are found to follow a significant fractal clustering within the interval ranging from 16 minutes to 24 hours; for longer intervals, the time clustering regime was not significantly different from that of a random process. An artificial neural network is applied here to the same seismicity data set and further evidence of the nonlinear dynamic process, for which the fractal approach failed, is obtained. The monthly values of magnitude predicted by extrapolation are found to be in fair agreement with the historical data.
  • Keywords
    Southern Tyrrhenian basin , Artificial Neural Networks. , Nonlinear dynamics
  • Journal title
    Pure and Applied Geophysics
  • Serial Year
    2000
  • Journal title
    Pure and Applied Geophysics
  • Record number

    429203