Detection of Seismic Precursors with a Low-Cost Embedded System: Methodology and Results of a Geo-Electromagnetic Monitoring Study
Keywords:
seismic precursors, digital filters, signal analysisAbstract
This study presents the development and validation of a low-cost embedded system for the detection of potential seismic precursors through monitoring the Earth's geomagnetic field. The system, based on a fluxgate magnetometer and a Raspberry Pi acquisition platform, allows the acquisition of raw data (RAW) with a sampling rate of 1 Hz. Relevant seismic events that occurred between 2017 and 2019 in Mexico were analyzed, applying digital processing techniques such as the moving average filter and the discrete wavelet transform (DWT). The results obtained were compared with records from the Tucson geomagnetic station (INTERMAGNET), showing similar anomalous patterns prior to seismic events, suggesting the viability of the proposed system to identify potential seismic precursors. It is concluded that this type of system can contribute to more accessible and scalable monitoring networks for seismic risk mitigation.
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References
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