Seismo-ionospheric perturbations are extensively studied for large earthquakes occurred over various parts of the world. Specific signatures of these natural events are observed in the Total electron content (TEC) data prior to their occurrence. Analysis of these natural disasters occurring at a specific location will help in their accurate detection and prediction. In this paper the Java region of Indonesia comprising of a belt of volcanic mountains, where a considerable number of events to analyze their characteristics in the ionosphere are considered for study. This region of Indonesia has an International Global Navigation Satellite System Station at Bakosturnal, Indonesia. Vertical total electron content data on the earthquake day is analyzed for 13 events occurred during June 2013 to July 2014.
Earthquakes are the most vulnerable disasters in nature and are inevitable. Electromagnetic detection of earthquakes using Global Positioning System (GPS) has lead to better understanding of our planet earth and related atmospheric systems. In the present work an attempt is made to analyze seismo-ionospheric perturbations for an earthquake which has occurred in Indonesia on 15th January 2014 with a magnitude of 4.5 on Richter scale. Modified covariance algorithm is applied on the GPS vertical total electron content data taken from the International Global Navigation Satellite System Service station named BAKO It is clearly observed that there is an enhancement of energy in the ionosphere for every 15 minutes from the starting of perturbations.
Spectral analysis of ionospheric disturbances of seismic origin will aid for the detection and prediction of the unavoidable natural disasters like Earthquakes. These disturbances for an earthquake occurred in Kawalu, West Java Indonesia with a magnitude of 4.3 on Richter scale was analyzed. The earthquake has occurred on 12th December 2013 at 7:02 hours universal time coordinate i.e at 12:32 hours local time coordinate. Maximum entropy method was applied on the ionopsheric disturbances seen on the earthquake day. The enhancement in the energy of the ionosphere has a high value at the beginning. It had a slow initial decrement and then a rapid fall down is observed. The method may profoundly represent the effect impending earthquake.