A technology for transient electromagnetic monitoring of permafrost is being scientifically substantiated to prevent man-made accidents and environmental disasters. Methods for fast 1D and 3D modeling of pulse signals have been developed. We have created a procedure for transforming the signals into apparent electrical resistivities, and implemented a data inversion algorithm using the Sumudu transform and artificial neural networks. Based on modeling of the signals in realistic geoelectric models with permafrost, the capability of monitoring the state of frozen soil by changes in the signals has been shown. Full-scale experiments with a prototype of a transient monitoring system have been successfully completed.
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Эпов et al. (2024) studied this question.
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