Тип публикации: статья из журнала

Год издания: 2024

Идентификатор DOI: 10.3390/geosciences14040102

Ключевые слова: landslides, radon, radon volumetric activity, uae, geophysical traces, microseisms

Аннотация: <jats:p>The paper considers a dispersive geological medium (seismically turbid medium, as defined by A.V. Nikolaev), which is in a stress–strain state. Results of studies on the joint monitoring of seismic effects and radon emanation in various geological environments are presented. It is concluded that the turbidity of the medium,Показать полностьюas a statistical characteristic, can be generalized in terms of other media parameters, such as permeability. A stable connection between radon emanation and dynamic processes occurring in a geological environment and caused by external influences has been established. The concentration of radon can also reflect the degree of enrichment of the environment by underground fractures. Consequently, saturation of the environment with radon provides information about the presence of disturbances in a geological environment in the form of cracks and a stress–strain state of the medium before and after seismic loadings. Radon observations make it possible to assess a continuity of the environment and the possibility of leaching in natural conditions. Therefore, it could be efficiently used for underground leaching efficiency assessment.</jats:p>

Журнал: Geosciences (Switzerland)

Выпуск журнала: Т. 14, № 4

Номера страниц: 102

ISSN журнала: 20763263

• Zaalishvili Vladislav B. (Geophysical Institute, Vladikavkaz Scientific Center RAS (GPI VSC RAS), 362002 Vladikavkaz, Russia)
• Melkov Dmitry A. (Geophysical Institute, Vladikavkaz Scientific Center RAS (GPI VSC RAS), 362002 Vladikavkaz, Russia)
• Martyushev Nikita V. (Geophysical Institute, Vladikavkaz Scientific Center RAS (GPI VSC RAS), 362002 Vladikavkaz, Russia)
• Klyuev Roman V. (Technique and Technology of Mining and Oil and Gas Production Department, Moscow Polytechnic University, 38, B. Semenovskaya Str., 107023 Moscow, Russia)
• Kukartsev Vladislav V. (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)
• Konyukhov Vladimir Yu. (Department of Automation and Control, Irkutsk National Research Technical University, 664074 Irkutsk, Russia)
• Kononenko Roman V. (Computer Hardware and Software Laboratory, Institute of Information Technologies and Data Analysis, Irkutsk National Research Technical University, 664074 Irkutsk, Russia)
• Gendon Angelika L. (Basic Department of Financial Control, Analysis and Audit of the Main Control Department of the City of Moscow, Plekhanov Russian University of Economics, Stremyanny Lane, 36, 115054 Moscow, Russia)
• Oparina Tatiana A. (Department of Automation and Control, Irkutsk National Research Technical University, 664074 Irkutsk, Russia)

• Ядро РИНЦ (eLIBRARY.RU)