An earthquake (also known as a quake, tremor or
temblor) is the perceptible shaking of the surface of
the Earth, which can be violent enough to destroy
major buildings and kill thousands of people. The
severity of the shaking can range from barely felt to
violent enough to toss people around. Earthquakes
have destroyed whole cities. They result from the
sudden release of energy in the Earth's crust that
creates seismic waves. The seismicity, seismism or
seismic activity of an area refers to the frequency,
type and size of earthquakes experienced over a
period of time. Each event is associated with some
waves such as primary waves, secondary waves,
Rayleigh waves, Stoneley waves and Love waves. As
these waves travels from interior of earth to surface
they degrades in magnitude and intensity, only a part
of the original waves reach the earth surface
originated in earth’s crust which are recorded as
seismograph. Till to date, many of the researchers
applied different techniques like prediction based on
radon emissions, prediction using extraction of
instantaneous frequency from underground water.
As the earthquake occurs due to transmission of
waves, hence feature extraction from the seismic
signal is the efficient approach to predict the
earthquake. The parameters of seismic signal are
analyzed by using fast fourier transform spectrum
analysis. The magnitude which forms the base of
analysis is used for the detection of earthquake. The
minor quakes are neglected and the surface wave
magnitude of the quakes that show impact on earth’s
surface is calculated and found it as 4.0. Hence, the
occurrence of earthquake can be predicted if the
magnitude exceeds 4.0.
Real Time Impact Factor:
Pending
Author Name: L.Likhitha & Mrs B.Deepthi
URL: View PDF
Keywords: Primary waves; Secondary waves; Intelligent methods; Surface wave magnitude; FFT spectrum.
ISSN:
EISSN: 2348-4845
EOI/DOI:
Add Citation
Views: 1
