Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 21, Pages: 1-5
Ch. Goutham, K. Rakesh, K. S. Ramesh, R. Revathi and S. Koteswra Rao P. Chitra and V. N. Ramakrishnan
Guntur, Andhra Pradesh, [email protected]
Background/Objectives: Earthquakes are the most unpredictable natural disasters in nature. Spectral analysis of seismoionospheric perturbations will be helpful in understanding the source mechanisms of the earthquakes. Seismogenic perturbations observed in ionosphere for an earthquake occurred on 19th December 2013 are investigated. The earthquake peaked at 4.6 on Richter scale. It took place at 16:41 hour’s green which mean time. International global navigation satellite services data for the station BAKO is considered for the analysis. Methods/Statistical Analysis: In present work Bartlett method is implemented on the vertical total electron content data on the earthquake day. Findings: Earthquake signatures in the ionosphere are indentified. It is also observed that the power spectral density of the perturbations has a giant initial value and abated slowly. Application: These findings will aid us to develop early warning systems for earthquakes.
Keywords: Earthquake, Signal Processing, Upper Atmospheric Sciences
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