Известия Томского политехнического университета: Инжиниринг георесурсов (Nov 2024)

Electrical resistivity variations as a result of natural-technogenic seismicity in the Gorlovka depression of the Altai-Sayan folded region according to electrical tomography data

  • Aleksandr E. Shalaginov,
  • Nina N. Nevedrova,
  • Ilya O. Shaparenko,
  • Arkadii V. Marinenko

DOI
https://doi.org/10.18799/24131830/2024/11/4503
Journal volume & issue
Vol. 335, no. 11

Abstract

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Relevance. In the last decade, the intensity of development of the Gorlovka coal deposit in Novosibirsk region has significantly increased, which leads to the formation of seismic activation of the subsoil of the Gorlovka depression in response to technogenic impact. Since 2019, earthquakes with a magnitude of more than 4 have been recorded in the field area, felt in Novosibirsk and its suburbs. Currently, damage from natural disasters has been rapidly growing. This happens due to many reasons, such as urbanization, population growth, man-made changes in the geological environment, construction of high-risk facilities that contribute to the activation of negative processes. Therefore, the development of trustworthy criteria for the assessment, forecast and consequences of natural and man-made hazardous phenomena is an urgent task. Timely identification of dangerous geological processes will make it possible to develop and implement measures to prevent and eliminate emergencies of a natural and man-made nature. Aim. Analysis of the results of regular observations by electrical tomography along a profile crossing the fault zone at the study site in the Gorlovka trough for further development of measurement techniques and software for automated processing and interpretation of monitoring data. Methods. Field works, quantitative interpretation Results and conclusions. The authors have obtained the first results of regular observations using electrical tomography along a profile crossing the fault zone at the study site in the Gorlovka trough, interpreting field data using the modernized DiInSo software package. It was found that the identified variations in geoelectric parameters reflect the response of the geological environment both to earthquakes occurring during the observation period and to man-made impacts (explosions). Furthermore, it is demonstrated that the fluctuations magnitude is influenced by the earthquake magnitude.

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