The article is devoted to complex forecasting of environmental safety in coal-mining regions of Russia. Results of the analysis of the main sources of environmental pollution in the considered regions are given. The authors of the paper focus attention on specifics of the polluting factors connected with applied technological processes of coal mining and processing. The article shows that uncertainty of assessing environmental risks to the population and the habitat by means of existing methods has led to additional research on the development of a rational set of forecasting methods. The goal was achieved by means of modern physical and mathematical apparatus, including geophysical control of natural environment, system analysis and synthesis of primary information, as well as a comprehensive result interpretation on the basis of the theory of solving multi-criteria problems. The algorithm of forming solution models developed as part of the criteria optimization process is described. This original approach is introduced into scientific use to form methods of forecasting environmental safety ensuring the development and adoption of optimal management decisions. A comparative analysis of forecasting and factual materials for one hundred and thirty-seven studied objects made it possible to state that the reliability of forecasting by means of involving a complex of geophysical methods is 80–90%.

For citation: Molev M. D., Armeiskov V. N., Golodov M. A. Geophysical prediction of environmental safety in coal mining regions using complex criteria. Gornyy informatsionno-analiticheskiy byulleten'. 2019;3:63-73. [In Russ]. DOI: 10.25018/0236-1493-2019-03-0-63-73.


Forecasting, environmental safety, man-made impact, coal-mining region, mines, system analysis and synthesis, multi-criteria problems, geophysical methods, interpretation.

Issue number: 3
Year: 2019
ISBN: 0236-1493
UDK: [622.831.22:001.891.55]:004942
DOI: 10.25018/0236-1493-2019-03-0-63-73
Authors: Molev M. D., Armeiskov V. N., Golodov M. A.

About authors: M.D. Molev, Doctor of Technical Sciences, Professor, e-mail:, V.N. Armeiskov, Candidate of Technical Sciences, Assistant Professor, M.A. Golodov, Candidate of Technical Sciences, Assistant Professor, Institute of Service Sector and Entrepreneurship (branch) of Don State University, 346500, Shakhty, Russia. Corresponding author: M.D. Molev, e-mail: e-mail:


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