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Appl. Sci. 2017, 7(11), 1113;

Applied Engineering Using Schumann Resonance for Earthquakes Monitoring

Department Engineering, University of Almeria, CEIA3, 04120 Almeria, Spain
Research Group of Electronic Communications and Telemedicine TIC-019, 04120 Almeria, Spain
Department of Applied Physics, University of Cordoba, CEIA3, Campus de Rabanales, 14071 Córdoba, Spain
Author to whom correspondence should be addressed.
Received: 14 September 2017 / Revised: 19 October 2017 / Accepted: 25 October 2017 / Published: 27 October 2017
PDF [3472 KB, uploaded 30 October 2017]


For populations that may be affected, the risks of earthquakes and tsunamis are a major concern worldwide. Therefore, early detection of an event of this type in good time is of the highest priority. The observatories that are capable of detecting Extremely Low Frequency (ELF) waves (<300 Hz) today represent a breakthrough in the early detection and study of such phenomena. In this work, all earthquakes with tsunami associated in history and all existing ELF wave observatories currently located worldwide are represented. It was also noticed how the southern hemisphere lacks coverage in this matter. In this work, the most suitable locations are proposed to cover these geographical areas. Also, ELF data processed obtained from the observatory of the University of Almeria in Calar Alto, Spain are shown. This is a contribution to help protect against natural disasters such as those caused by earthquakes and tsunamis. View Full-Text
Keywords: ELF wave; Schumann resonance; ELF sensor; earthquakes alerts; worldwide ELF wave; Schumann resonance; ELF sensor; earthquakes alerts; worldwide

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Gazquez, J.A.; Garcia, R.M.; Castellano, N.N.; Fernandez-Ros, M.; Perea-Moreno, A.-J.; Manzano-Agugliaro, F. Applied Engineering Using Schumann Resonance for Earthquakes Monitoring. Appl. Sci. 2017, 7, 1113.

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