alexa Study of Ionospheric precursors related to an earthquake (M=7.8) of 16 April, 2013 using GPS-TEC measurements: Case study
ISSN: 2167-0587

Journal of Geography & Natural Disasters
Open Access

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Research Article

Study of Ionospheric precursors related to an earthquake (M=7.8) of 16 April, 2013 using GPS-TEC measurements: Case study

Devbrat Pundhir1,3*, Birbal Singh1, O.P. Singh2 and Saral Kumar Gupta3

1Department of Electronics and Communication Engineering, R. B. S. Engineering Technical Campus, Bichpuri, Agra, India-283105

2Department of Physics, R. B. S. Engineering Technical Campus, Bichpuri, Agra, India-283105

3Department of Physics, Banasthali Vidyapith, Rajasthan, India-304022

*Corresponding Author:
Devbrat Pundhir
Department of Electronics and Communication Engineering
R. B. S. Engineering Technical Campus, Bichpuri, Agra, India-283105
Tel: 91-9548199474
E-mail: [email protected]l.com

Received Date: October 21, 2014; Accepted Date: May 18, 2015; Published Date: May 30, 2015

Citation: Pundhir D, Singh B, Singh OP, Gupta SK (2015) Study of Ionospheric precursors related to an earthquake (M=7.8) of 16 April, 2013 using GPS-TEC measurements: Case study. J Geogr Nat Disast 5:137. doi: 10.4172/2167-0587.1000137

Copyright: © 2015 Pundhir D, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In the present paper, we analyze the GPS-TEC data which observed at Agra station, India (27.2o N, 78o E) and also see the diurnal variations of global ionospheric maps (GIMs) TEC data over the epicenter of this earthquake (M=7.8) in Pakistan region for the month of April, 2013. We use a statistical technique for the analysis of data and identify the significant precursors using 3σ criterion. These precursors are found in form of enhancements on different days in the interval of 5-7 days prior to the earthquake. We also see the effect of geomagnetic storm and solar activity on TEC data and found no anomaly associated with them.

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