Wavelet analysis of the seismograms for tsunami warning
The complexity in the tsunami phenomenon makes the available warning systems not much effective in the practical situations. The problem arises due to the time lapsed in the data transfer, processing and modeling. The modeling and simulation needs the input fault geometry and mechanism of the earthq...
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Copernicus Publications
2010-10-01
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Series: | Nonlinear Processes in Geophysics |
Online Access: | http://www.nonlin-processes-geophys.net/17/569/2010/npg-17-569-2010.pdf |
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doaj-0290e5b6da1c4d07b15ab44471180bfe2020-11-24T23:48:03ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462010-10-0117556957410.5194/npg-17-569-2010Wavelet analysis of the seismograms for tsunami warningA. ChamoliV. Swaroopa RaniK. SrivastavaD. SrinageshV. P. DimriThe complexity in the tsunami phenomenon makes the available warning systems not much effective in the practical situations. The problem arises due to the time lapsed in the data transfer, processing and modeling. The modeling and simulation needs the input fault geometry and mechanism of the earthquake. The estimation of these parameters and other aprior information increases the utilized time for making any warning. Here, the wavelet analysis is used to identify the tsunamigenesis of an earthquake. The frequency content of the seismogram in time scale domain is examined using wavelet transform. The energy content in high frequencies is calculated and gives a threshold for tsunami warnings. Only first few minutes of the seismograms of the earthquake events are used for quick estimation. The results for the earthquake events of Andaman Sumatra region and other historic events are promising. http://www.nonlin-processes-geophys.net/17/569/2010/npg-17-569-2010.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. Chamoli V. Swaroopa Rani K. Srivastava D. Srinagesh V. P. Dimri |
spellingShingle |
A. Chamoli V. Swaroopa Rani K. Srivastava D. Srinagesh V. P. Dimri Wavelet analysis of the seismograms for tsunami warning Nonlinear Processes in Geophysics |
author_facet |
A. Chamoli V. Swaroopa Rani K. Srivastava D. Srinagesh V. P. Dimri |
author_sort |
A. Chamoli |
title |
Wavelet analysis of the seismograms for tsunami warning |
title_short |
Wavelet analysis of the seismograms for tsunami warning |
title_full |
Wavelet analysis of the seismograms for tsunami warning |
title_fullStr |
Wavelet analysis of the seismograms for tsunami warning |
title_full_unstemmed |
Wavelet analysis of the seismograms for tsunami warning |
title_sort |
wavelet analysis of the seismograms for tsunami warning |
publisher |
Copernicus Publications |
series |
Nonlinear Processes in Geophysics |
issn |
1023-5809 1607-7946 |
publishDate |
2010-10-01 |
description |
The complexity in the tsunami phenomenon makes the available warning systems not much effective in the practical situations. The problem arises due to the time lapsed in the data transfer, processing and modeling. The modeling and simulation needs the input fault geometry and mechanism of the earthquake. The estimation of these parameters and other aprior information increases the utilized time for making any warning. Here, the wavelet analysis is used to identify the tsunamigenesis of an earthquake. The frequency content of the seismogram in time scale domain is examined using wavelet transform. The energy content in high frequencies is calculated and gives a threshold for tsunami warnings. Only first few minutes of the seismograms of the earthquake events are used for quick estimation. The results for the earthquake events of Andaman Sumatra region and other historic events are promising. |
url |
http://www.nonlin-processes-geophys.net/17/569/2010/npg-17-569-2010.pdf |
work_keys_str_mv |
AT achamoli waveletanalysisoftheseismogramsfortsunamiwarning AT vswarooparani waveletanalysisoftheseismogramsfortsunamiwarning AT ksrivastava waveletanalysisoftheseismogramsfortsunamiwarning AT dsrinagesh waveletanalysisoftheseismogramsfortsunamiwarning AT vpdimri waveletanalysisoftheseismogramsfortsunamiwarning |
_version_ |
1725487470758330368 |