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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: PREDICTION OF TSUNAMIGENIC POTENTIAL FROM SEISMOGRAM SIGNAL
Authors Name: SARIKA A S , LAKSHMI J L , ALLAN J WILSON
Unique Id: IJSDR2003037
Published In: Volume 5 Issue 3, March-2020
Abstract: Tsunami and earthquake are most dangerous natural disaster. Hence an early and accurate warning is necessary in such fields. Earthquakes are hard to predict but its resulting tsunami’s can be predicted from seismogram. The available tsunami warning systems are not much effectively used in practical situations and they are time consuming since the time taken for data processing and modeling is high. In this proposed work, the characteristics of seismograms are used to distinguish the tsunamigenic earthquake from nontsunamigenic earthquakes. Feature extraction is done by applying wavelet decomposition and Shannon entropy method. Wavelet decomposition is chosen for determining the energy while Shannon method retrieves the entropy value. A classifier is defined and its performance level is tested. Accuracy up to 93% is achieved and time consumption is low when compared to other tsunami warning system. This result may contribute major part in the assessment of tsunami early warning system.
Keywords: Earthquake, Tsunami, Seismogram, Signal processing.
Cite Article: "PREDICTION OF TSUNAMIGENIC POTENTIAL FROM SEISMOGRAM SIGNAL", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 3, page no.200 - 204, March-2020, Available :http://www.ijsdr.org/papers/IJSDR2003037.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2003037
Registration ID:191473
Published In: Volume 5 Issue 3, March-2020
DOI (Digital Object Identifier):
Page No: 200 - 204
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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