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DYNAMICS OF CHANNEL PROCESSES IN THE WATER INTAKE ZONE FROM THE AMUDARYA TO THE AMU-BUKHARA MACHINE CANAL

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SCIENCE AND INNOVATIVE DEVELOPMENT

SCIENCE AND INNOVATIVE DEVELOPMENT

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ARTICLE ANNOTATION

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The relevance of addressing the problem of monitoring and forecasting channel processes lies in the fact that theoretical studies have not yet been completed and require further development by integrating the hydraulic theory of flows with the study of morphological features. This is especially true for the Amudarya, which is one of the most turbid rivers in the world: year after year, the riverbed becomes increasingly silted and elevated, leading to channel deformation and negatively affecting the stable operation of hydraulic structures located in the riverbed. This article investigates channel processes in the middle course of the Amudarya using remote sensing data. For riverbed mapping, the Google Earth Engine platform and Landsat satellite imagery were employed. The dynamics of channel changes in the water intake zone from the Amudarya to the Amu-Bukhara Machine Canal were analyzed. Long-term volumes of water intake from the Amudarya to the Amu-Bukhara Machine Canal were also studied. Based on the analysis of data over the past three years, it was found that the maximum water intake occurred in June 2025. In the water intake zone of the Amu-Bukhara Machine Canal, studies of riverbed relief and morphology were carried out across selected cross-sections. The analysis revealed that deformations of the riverbed in terms of depth and width occur rather rapidly. In the middle course of the Amudarya, the flow velocity during bank erosion reached up to 2 m/s, with erosion cycles ranging from 10 to 60 m, and depths between 5 and 10 m.

AUTHORS

O.Ikromov

Irrigatsiya va suv muammolari ilmiy-tadqiqot instituti

Tags

# река# river# daryo# наносы# sediments# дистанционное зондирование.# remote sensing.# oqiziqlar# channel deformation# oʻzan deformatsiyasi# Landsat piksel# masofaviy zondlash.# деформация русла# Landsat-пиксель# Landsat pixel

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Article Identifiers

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https://eroi.uz/11.0094/A1025-0007

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