Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i17/92969
Year: 2016, Volume: 9, Issue: 17, Pages: 1-6
Original Article
S. K. Baji* , R. Revathi, S. Lakshminarayana, S. Koteswara Rao and K. S. Ramesh
K L University, Green fields, Vaddeswaram - 522502, Andhra Pradesh, India; [email protected], revathim[email protected], [email protected], [email protected]
*Author of Corresponding: S. K. Baji K L University, Green fields, Vaddeswaram - 522502, Andhra Pradesh, India; [email protected]
Background/Objectives: The major objective of our work is to identify the precursors of earthquakes and analysed the precursors in ionosphere prior to the occurrence of earthquake using Global Positioning System Total Electronic Content (GPSTEC). Methods/Statistical Analysis: In this work Multiple Signal Classification algorithm (MUSIC) is explored. MUSIC estimates the frequency content of a signal or autocorrelation matrix using a Eigen space method. Findings: It is clearly observed that there is a significant raise in energy of the ionosphere on the day of earthquake occurrence. Application/ Improvement: If the quality data is available before and after the occurrence of earthquake also, then it may be possible to develop the early warning system for earthquakes.
Keywords: Earthquakes, GPSTEC, Ionosphere, Multiple Signal Classification (MUSIC), Seismo-ionospheric Perturbations
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