%0 Journal Article %1 noauthororeditor %A Folasade, %D 2016 %J International Journal of Recent advances in Physics (IJRAP) %K Earthquake prediction %N 3/4 %P 1-7 %T Computation of Lyapunov Exponent for Characterizing the Dynamics of Earthquake %U http://wireilla.com/physics/ijrap/papers/5416ijrap02.pdf %V 5 %X Earthquakes forecasting and prediction is a global challenge, several precursors and methods of earthquake prediction have been proposed, but lack consistency and are not reliable for prediction hence occurrence of earthquakes is sometimes assumed to be random. This study was designed to investigate and characterise the occurrence of earthquakes using chaos theory. The Lyapunov Exponent and its spectrum were obtained from earthquake data using modified two dimensional system method from Sprott’s procedures. The results show that the values of the Lyapunov exponent were positive but the magnitude varies for all regions considered and the Lyapunov exponent spectrum exhibit an asymptotic behaviour in all the regions.This study showed that although seismicity exhibit apparent randomness but earthquake occurrence is not stochastic but a non-linear deterministic dynamical process.

@article{noauthororeditor, abstract = {Earthquakes forecasting and prediction is a global challenge, several precursors and methods of earthquake prediction have been proposed, but lack consistency and are not reliable for prediction hence occurrence of earthquakes is sometimes assumed to be random. This study was designed to investigate and characterise the occurrence of earthquakes using chaos theory. The Lyapunov Exponent and its spectrum were obtained from earthquake data using modified two dimensional system method from Sprott’s procedures. The results show that the values of the Lyapunov exponent were positive but the magnitude varies for all regions considered and the Lyapunov exponent spectrum exhibit an asymptotic behaviour in all the regions.This study showed that although seismicity exhibit apparent randomness but earthquake occurrence is not stochastic but a non-linear deterministic dynamical process. }, added-at = {2017-01-23T13:10:16.000+0100}, author = {Folasade}, biburl = {https://www.bibsonomy.org/bibtex/2532b73cc80a927f703142efe7a74235c/gethzijose}, interhash = {cbb616500f98b1bc979026ca90e8f415}, intrahash = {532b73cc80a927f703142efe7a74235c}, journal = {International Journal of Recent advances in Physics (IJRAP) }, keywords = {Earthquake prediction}, month = nov, number = {3/4}, pages = {1-7}, timestamp = {2017-01-23T13:10:16.000+0100}, title = {Computation of Lyapunov Exponent for Characterizing the Dynamics of Earthquake}, url = {http://wireilla.com/physics/ijrap/papers/5416ijrap02.pdf}, volume = 5, year = 2016 }