This study investigates the impact of sedimentation on the storage capacity of the Tupalang Reservoir, located in Surkhandarya, Uzbekistan, over a period of more than 30 years. Sedimentation poses a significant challenge by gradually reducing reservoir capacity, affecting water availability for irrigation, hydropower, and drinking supply. In the study, sedimentation was evaluated using GIS-based geostatistical methods using USV data in the reservoir. For the bathymetric data processing that was collected in 2023, four interpolation techniques—IDW, RBF, OK, and EBK —were applied, with RBF demonstrating the highest predictive accuracy. Results indicate a capacity loss of 28.05 million cubic meters (Mm³), or 5.65% of the total volume, primarily in the dead storage zone between 830 m and 890 m above sea level. Using bathymetric surveys conducted in 2003, 2007, 2010, and 2023, this research assesses changes in reservoir volume and identifies sedimentation patterns. The findings highlight a decline in sedimentation rates from 1.51 Mm³ per year in the early years to 0.3 Mm³ per year after 2010, attributed to effective management practices such as hydraulic washing. The study underscores the importance of proactive sediment management strategies, including dredging and sediment traps, to sustain reservoir functionality and recommends ongoing monitoring using advanced geospatial techniques
Tupolang reservoir bathymetric survey USV Apache3 geostatistical analysis 3D model sedimentation capacity volume reduction
National Research University "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers institute"
We are pleased to submit our manuscript titled "Geospatial Techniques for Evaluating Sedimentation and Storage Capacity in the Topalang Reservoir, Uzbekistan" for consideration in the International Journal of Engineering and Geosciences. We appreciate your time and effort in reviewing our work and look forward to your feedback. Thank you for considering our submission.
Primary Language | English |
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Subjects | Geospatial Information Systems and Geospatial Data Modelling, Surveying (Incl. Hydrographic Surveying) |
Journal Section | Research Article |
Authors | |
Early Pub Date | January 25, 2025 |
Publication Date | |
Submission Date | October 14, 2024 |
Acceptance Date | January 17, 2025 |
Published in Issue | Year 2025 Volume: 10 Issue: 2 |