http://repository.iitr.ac.in/handle/123456789/18992
Title: | Timely prediction of tsunami using under sea earthquake signals |
Authors: | Kumar S. Sushil R. Kumar A. Ray V.K. Ghosh P. Kumar S. Shikha S. Kumar S. Paul A. Yadav A. Deep, K. |
Published in: | Proceedings of Advances in Intelligent and Soft Computing |
Abstract: | The Honshu, Japan earthquake of 11th March 2011, caused severe hazard in Japan and neighboring countries. It revealed the need and importance of warning system for Tsunami generation to minimize the casualties. Seismograms of the Honshu earthquake event (recorded by broadband seismograms, being operated in the NW Himalaya by Wadia Institute of Himalayan Geology, Dehradun) are used for quick prediction of tsunami. The frequency content of these seismograms is studied and energy content in high frequencies is calculated, which is used to give tsunami warning. It is observed that wavelet coefficients for frequencies greater than 0.33 Hz tsunamigenic earthquakes do not show significant energy in the spectrum. However, significant energy is found in wavelet spectrum of non-tsunamigenic earthquake. In this paper we present the wavelet analysis on the Honshu, Japan earthquake of 11th March, 2011. Some other global tsunamigenic and non-tsunamigenic events are also analyzed for test and comparison purpose of the methodology used. © 2012 Springer India Pvt. Ltd. |
Citation: | Proceedings of Advances in Intelligent and Soft Computing, (2012), 1011- 1018. Roorkee |
URI: | https://doi.org/10.1007/978-81-322-0491-6_93 http://repository.iitr.ac.in/handle/123456789/18992 |
Issue Date: | 2012 |
Keywords: | Hazard deduction Sea Earthquake Tsunami warning Broadband seismograms Earthquake events Energy content Frequency contents High frequency Himalayas Tsunami generation Tsunami warning Tsunamigenic Wavelet coefficients Wavelet spectrum Earthquakes Hazards Problem solving Soft computing Tsunamis Wavelet analysis Forecasting |
ISBN: | 9.79E+12 |
ISSN: | 18675662 |
Author Scopus IDs: | 7405769266 57091739600 55095787800 55222329000 55427767900 57202477297 57202356863 57209548769 55415037600 55220521500 8561208900 |
Author Affiliations: | Kumar, S., Wadia Institute of Himalayan Geology, Dehradun, India Sushil, R., Shri Guru Ram Rai Institute of Technology and Science, Dehradun, India Kumar, A., ICFAI University, Dehradun, India Ray, V.K., ICFAI University, Dehradun, India Ghosh, P., ICFAI University, Dehradun, India Kumar, S., ICFAI University, Dehradun, India Shikha, S., ICFAI University, Dehradun, India Kumar, S., ICFAI University, Dehradun, India Paul, A., Wadia Institute of Himalayan Geology, Dehradun, India Yadav, A., Indian Institute of Technology, Roorkee, India Deep, K., Indian Institute of Technology, Roorkee, India |
Corresponding Author: | Kumar, S.; Wadia Institute of Himalayan Geology, Dehradun, India; email: sushil_rohella@yahoo.co.in |
Appears in Collections: | Conference Publications [MA] |
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