Statistical analysis of different-scale samplings of natural electromagnetic radiation parameters in detection of geodynamically active faults

Today recording of the Earth’s natural pulse electromagnetic field (ENPEMF) finds application in the stress–strain behavior assessment of rock mass, detection of geodynamically active faults (GDAF) and in prediction of rock bursts and earthquakes. The ENPEMF parameters alter when the course of various processes in rock mass changes. Such processes may be mechanoelectrical phenomena, micro seismicity, manmade loading, etc. The resultant ENPEMF may have abnormal parameters, namely, frequency, amplitude, wave front steepness, etc. In this study, the GDAF identification parameter is the electromotive force induced in the receiving antenna by the change in the ENPEMF. The most of the related research use measurement profiles which assume the background ENPEMF. The values above the background are considered as abnormal. Such research is deficient for the absence of the broad integrated analysis of the recorded signals depending on the measurement profile length, measurement pattern density, presence of the manmade load, etc. For this reason, this study includes the statistical analysis of three profiles, three streets from one to one and a half kilometer long, three streets shorter than a half kilometer in the Central, Petrogradsky and Admiralteisky sectors in Saint-Petersburg, and the total set of profiles in the city. All in all, the scope of the analysis encompasses 1410 values of the electromotive force and the data from profiles more than 13 km of the total length. As a result, the normal values, the medium, maximum and minimum abnormal values, and the abnormality frequency are determined. On this basis, recommendations on planning measurements are given, including differentiated approach to interpretation of data from different length profiles.

Iakovleva E. V., Belova M. V. Statistical analysis of different-scale samplings of natural electromagnetic radiation parameters in detection of geodynamically active faults. MIAB. Mining Inf. Anal. Bull. 2022;(7):18-39. [In Russ]. DOI: 10.25018/0236_1493_2022_7_0_18.

The study was carried out under the state contract for scientific research in 2021, Contract No. FSRW-2020-0014.

E.V. Iakovleva¹, Cand. Sci. (Eng.), Assistant Professor, e-mail: yakovleva_ev@pers.spmi.ru, ORCID ID: 0000-0002-7354-0185,
M.V. Belova¹, Leading Engineer, e-mail: Parkhimchik_MV@pers.spmi.ru, ORCID ID: 0000-0001-7051-278X,
¹ Saint-Petersburg Mining University, 199106, Saint-Petersburg, Russia.

E.V. Iakovleva, e-mail: yakovleva_ev@pers.spmi.ru.

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