Revealing of Earth Quake Magnitude Using Seismic Signals and Wavelet Transforms
Author(s) -
G.V.S. Raju,
C. Kishor Kumar Reddy,
L V Narasimha Prasad
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.08.562
Subject(s) - computer science , quake (natural phenomenon) , magnitude (astronomy) , wavelet , earthquake prediction , seismology , natural disaster , task (project management) , geology , artificial intelligence , oceanography , physics , astronomy , management , economics
cientists, researchers and academicians have put their utmost effort in different ways for predicting Earthquake disaster, but were successful to a certain extent. Most of them had a superior idea of where an earthquake may most likely occur, but certainly predicting when an Earthquake may occur has become a challenging task. In fact this challenging task has become one of the basic requirements so as to get and set oneself from this natural disaster. In the present research, seismic signals are analyzed by using HAAR, DB, SYM, COIF, BIOR and RBIO wavelet transforms in order to evaluate the magnitude of the signal. Up on the experimentation, it is established that if the surface wave magnitude is >= 3.0, presence of earthquake as it would affect the environment to a greater extent
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