Back to Search Start Over

Timely Prediction of Tsunami Using under Sea Earthquake Signals

Authors :
Ajay Paul
Anupam Yadav
Sourabh Kumar
Anilesh Kumar
Swati Shikha
Rama Sushil
Pratik Ghosh
Kusum Deep
Sushil Kumar
Vijay Kumar Ray
Sachin Kumar
Source :
Advances in Intelligent and Soft Computing ISBN: 9788132204909, SocProS (2)
Publication Year :
2012
Publisher :
Springer India, 2012.

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.

Details

ISBN :
978-81-322-0490-9
ISBNs :
9788132204909
Database :
OpenAIRE
Journal :
Advances in Intelligent and Soft Computing ISBN: 9788132204909, SocProS (2)
Accession number :
edsair.doi...........6534b08a8ada098ae41081ce60960344
Full Text :
https://doi.org/10.1007/978-81-322-0491-6_93