Analysing Seismo-electromagnetic Waves through Wavelet Transformation

Abstract

This research has presented a sophisticated methodology for studying lithosphere-ionosphere coupling phenomena, emphasising the identification of pre-seismic activity through seismo-electromagnetic signal processing. The application of an advanced electric field monitoring device, coupled with the precision of the Discrete Wavelet Transform (DWT), has allowed us to uncover nuanced patterns in the ULF range, specifically related to seismic events during the Kumamoto Earthquakes. The detailed statistical analysis further supports the significance of our findings, providing a quantitative measure of variance for each detail level. The capability of our methodology to extract abnormal signals associated with various earthquake preparation stages is a promising step forward in earthquake research. This innovative approach holds great potential for advancing our understanding of lithosphere-ionosphere coupling and its role in early seismic activity detection. The findings contribute to the broader field of seismo-electromagnetic research, demonstrating the importance of sophisticated signal processing techniques in extracting meaningful information from complex datasets. Future research endeavours and validation studies can build upon this foundation, potentially enhancing the applicability of these techniques in earthquake prediction and monitoring systems.