Relationship between precursory signals and corresponding earthquakes using different spectral analysis techniques
Autor: | Ali G. Hafez, Naif M. Alotaibi, Elkhedr Ibrahim, Ghada Ali, Kamal Abdelrahman, El-Sayed Soliman A. Said |
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Rok vydání: | 2021 |
Předmět: |
Discrete wavelet transform
Multidisciplinary Multi resolution analysis Phase (waves) Nucleation Spectral analysis 02 engineering and technology 010501 environmental sciences 021001 nanoscience & nanotechnology 01 natural sciences Earthquake precursory signals Ground effect (aerodynamics) Amplitude Nucleation phase FIR filter lcsh:Science (General) 0210 nano-technology MRA of wavelets Geology Seismology Instrument effect lcsh:Q1-390 0105 earth and related environmental sciences |
Zdroj: | Journal of King Saud University: Science, Vol 33, Iss 2, Pp 101338-(2021) |
ISSN: | 1018-3647 |
DOI: | 10.1016/j.jksus.2020.101338 |
Popis: | The origin of precursory signals that precede the P-waves is controversial, as it may be caused by ground effect (seismic nucleation phase) or instrumental effect due to a digitizer. Such signals cause errors in the automatic detection of P-wave arrival times and consequently decrease the accuracy of earthquake parameter estimations. In this paper, we proposed spectral analysis techniques to distinguish between different types of precursory segments, and to find if there is a relation between existence of these precursors and their corresponding earthquakes. These algorithms are applied to 1015 local events recorded by eleven permanent seismic stations belonging to the Egyptian National Seismic Network. Manual inspection of these events reveals the existence of these precursors. The investigations provided evidence that one type of these precursors originated because of an instrumental effect. This study shows the underlying causes of the precursory segment’s appearance prior to P-wave impulses. Many events had similar parameters; however, some of them had such precursors while others did not, in this inspection, multi resolution analysis details of the Discrete Wavelet Transform have been used. When large amplitudes for high frequency P-wave detail exceed 10 4 counts (1 count = 1 nm/s), the appearance percentage for the precursory segment is 100%. |
Databáze: | OpenAIRE |
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