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Mathematical model of natural conditions on the dangerous landslides to the dam of reservoirs

D. T. KodirovScientific Research Institute of Irrigation and Water Problems, Tashkent, UzbekistanA. A. UtaevScientific Research Institute of Irrigation and Water Problems, Tashkent, UzbekistanM. R. SherbaevScientific Research Institute of Irrigation and Water Problems, Tashkent, UzbekistanR. A. ErmanovEngineer at Ministry of Water Resources of the Republic of Uzbekistan "Information Analysis and Resource Center", Tashkent, UzbekistanS. D. TursunboevScientific Research Institute of Irrigation and Water Problems, Tashkent, UzbekistanY. Y. TurdiboyevScientific Research Institute of Irrigation and Water Problems, Tashkent, UzbekistanF. J. DusiyorovScientific Research Institute of Irrigation and Water Problems, Tashkent, Uzbekistan
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Аннотация

One of the reasons that the strength of all earth dams is not constant is the risk of landslides in the dams. To ensure facilities' safe and reliable operation when using the Akhangaran reservoir, a mathematical model of the movement of horizontal and vertical landslides has been developed based on variational-statistical processing of long-term monitoring data. As a result of the analysis, based on monitoring data and topogeodesic measurements in determining the direction and velocity of the Yukori-Turk avalanche formed on the left bank of the Ahangaron Reservoir, the avalanche displacement distance and sliding speed were determined for each rapper. As a result, a method was developed to analyze the proportion and periodic variability of external forces influencing the process of landslide movement in natural conditions. Using a mathematical model that analyzes the external natural effects of landslides, predicting the direction, acceleration, and duration of shoreline migration in a reservoir will be possible. The results obtained are based on the development of measures to eliminate the factors influencing the avalanche action of identified external forces.

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Показатели — AkademScholar · Скоро