The Earth's natural pulse electromagnetic fields for earthquake time–frequency characteristics: Insights from the EEMD–WVD method |
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| Authors: | Guo‐Cheng Hao Yu‐Xiao Bai Hui Liu Juan Zhao Zuo‐Xun Zeng |
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| Affiliation: | 1. Faculty of Mechanical & Electronic Information, China University of Geosciences (Wuhan), Wuhan, China;2. State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, CAS, Wuhan, China;3. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China;4. Department of Mathematics, Duke University, Durham, North Carolina, USA;5. Faculty of Earth Sciences, China University of Geosciences (Wuhan), Wuhan, China |
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| Abstract: | Monitoring the Earth's natural pulse electromagnetic field (ENPEMF) signal is a geomagnetic detection approach for the Earth internal and external studies, and it provides a reference for earthquake prediction. In this paper, the Ensemble Empirical Mode Decomposition–Wigner Ville Distribution (EEMD–WVD) method is used to process the time sequences of the ENPEMF signal detected by GR‐01 receiving devices during the Lushan MS7.0 earthquake (April 20th, 2013). By obtaining the intrinsic mode function (IMF), the time–frequency–amplitude joint distribution and the energy spectrum of the ENPEMF signal, the suspected anomalies before the earthquake could be shown. The results illustrate the ENPEMF signal before an earthquake and its time–frequency characteristics based on an EEMD–WVD algorithm, proving useful information about the anomalies around the time of the earthquake. |
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| Keywords: | anomalies Earth's natural pulse electromagnetic field (ENPEMF) ensemble empirical mode decomposition– Wigner Ville distribution (EEMD– WVD) intrinsic mode function (IMF) time– frequency characteristics |
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