Deep tectonic structure and the latest geodynamics in the area of the Lake Manych-Gudilo in the region of the 2001 Salsky earthquake
Schmidt Institute of Physics of the Earth, Russian Academy of Sciences
Journal: Problems of Engineering Seismology
Tome: 51
Number: 3
Year: 2024
Pages: 72-85
UDK: 550.34, 551.24
DOI: 10.21455/VIS2024.3-4
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Koshevoy
M.Yu N.G., Kharazova
Yu.V. Deep tectonic structure and the latest geodynamics in the area of the Lake Manych-Gudilo in the region of the 2001 Salsky earthquake // . 2024. Т. 51. № 3. С. 72-85. DOI: 10.21455/VIS2024.3-4
@article{Koshevoy
M.YuDeep2024,
author = "Koshevoy
M.Yu, N. G. and Kharazova,
Yu. V.",
title = "Deep tectonic structure and the latest geodynamics in the area of the Lake Manych-Gudilo in the region of the 2001 Salsky earthquake",
journal = "Problems of Engineering Seismology",
year = 2024,
volume = "51",
number = "3",
pages = "72-85",
doi = "10.21455/VIS2024.3-4",
language = "English"
}
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Keywords: deep structure of the earthquake source, microseismic sounding method, earthquake focal mechanism, the Manych deflection
Аnnotation: The area of the Salsk earthquake of 2001 is an example of a region with weak seismicity, where identification of seismic generating structures is a problem due to insufficient earthquake statistics. Application of a complex of methods including structural geomorphological analysis, computer interpretation, morphometric method, method of microseismic sounding, and computer three-dimensional geological modeling allowed: 1) To identify regional disjunctive faults; 2) To formulate a reasonable assumption about the presence of a fault extending along the Manych River and having right-lateral shear kinematics. On the basis of morphometric method, it is shown that the movement of blocks along this fault has led to neotectonic activation of some areas; 3) To detect the disjunction to which the hypocenter of the Salsk earthquake of 2001 is confined; 4) To compare the areas of maximum areas of compression with the epicenters of earthquakes and evaluate the prospects of predictive capabilities of the model.