International Journal of Engineering Research

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Precursory Behaviour of Fractal Characteristics of the Ulf Data Associated With Earthquake


Affiliations
1 Department of Physics, Tatyasaheb Kore Institute of Engineering and Technology, Warananagar. Tal- Panhala Dist- Kolhapur, Maharashtra, India
2 Space and Earth Sciences, Department of Physics, Shivaji University, Kolhapur, India
3 Department of Physics, Government Engineering College, Karad, Dist- Satara, Maharashtra, India
 

In this paper, we describe fractal method to extract earthquake precursory signatures of the ULF data for moderate earthquake that occurred on 29 July, 2008 having magnitude (M) 4.5, using three-components induction coil magnetometer installed at Shivaji University, Kolhapur (16.400N, 74.150 E), India. We have applied FFT procedure to calculate the spectral exponents and fractal dimensions of the ULF time series. We have found specific peculiarities in the behavior of fractal characteristics of the ULF time series one month to several days before the moderate earthquake for 1-5 Hz frequency band. This specific peculiarity in the behavior of fractal characteristics appear to be sharp as compared to ULF time series. Fractal characteristics of ULF data can give important information about earthquake preparation processes and it can be involved in the development of the earthquake prediction methodology.
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  • Precursory Behaviour of Fractal Characteristics of the Ulf Data Associated With Earthquake

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Authors

Amol V. Patil
Department of Physics, Tatyasaheb Kore Institute of Engineering and Technology, Warananagar. Tal- Panhala Dist- Kolhapur, Maharashtra, India
Ashok K. Sharma
Space and Earth Sciences, Department of Physics, Shivaji University, Kolhapur, India
Savita A. Patil
Department of Physics, Government Engineering College, Karad, Dist- Satara, Maharashtra, India

Abstract


In this paper, we describe fractal method to extract earthquake precursory signatures of the ULF data for moderate earthquake that occurred on 29 July, 2008 having magnitude (M) 4.5, using three-components induction coil magnetometer installed at Shivaji University, Kolhapur (16.400N, 74.150 E), India. We have applied FFT procedure to calculate the spectral exponents and fractal dimensions of the ULF time series. We have found specific peculiarities in the behavior of fractal characteristics of the ULF time series one month to several days before the moderate earthquake for 1-5 Hz frequency band. This specific peculiarity in the behavior of fractal characteristics appear to be sharp as compared to ULF time series. Fractal characteristics of ULF data can give important information about earthquake preparation processes and it can be involved in the development of the earthquake prediction methodology.