Precursory Response of low Frequency Signals for Detection of Seismic Rapture in Indian Region
Vijay Subhash Katta1, Vinod Kushwah2, Priti Dimri3, Rudraksh Tiwari4

1Vijay Subhash Katta, Research Scholar, Computer Science and Engineering, Uttarakhand Technical University, Dehradun, India.
2Vinod Kushwah, Department of Physics, Hindustan College of Science
and Technology, Mathura, India.
3Priti Dimri, Department of Computer Science and Application, G.B. PANT, Engineering College, Ghurdauri, Pauri, India.
4Rudraksh Tiwari, Department of Physics, Hindustan College of Science and Technology, Mathura, India.

Manuscript received on 22 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1847-1855 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8249078919/19©BEIESP | DOI: 10.35940/ijitee.I8249.078919

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Abstract: Recognition of seismic precursors is exigent task. Its study depends upon the environmental parameters, ground motion emissions (Low frequency signals), geological and tectonic structure. The theory of signal conductivity of two crust model between the epicenter region and above the ground surface calculated the amplitude enhancement of electromagnetic emissions. Extremely low frequency signals generate due to seismic emissions and penetrate the crystal layer to change the earth’s surrounding and upper atmosphere conditions. These outputs are used to correlate the seismogenic VLF signals (f=3 KHz), which are recorded by borehole antenna system. It is observed that the low frequency signals goes to vertically and accumulated as low conductivity medium in the outer most layer through which transmitted to the atmosphere. The seismogenic ULF emissions, DEMETER satellite data, TEC anomalies, ionospheric disturbances and bio-electric amplitude was recorded at places nearby active fault line in Indian region and it is used to recognized the pre- seismic behaviour. We have also observed the stimulus data (solar flux, audio frequency signals, or electric charge emissions) as abnormal signals. These relations are verified and correlated by statistical analysis with null hypothesis testing and power spectrum magnitude which is helping us to understand the precursory signature of earthquakes.
Index Terms: Bio-Potential, DEMETER Satellite, Very Low Frequency (VLF), Total Electron Content (TEC).

Scope of the Article: Frequency Selective Surface