Estimation of sediment deposition in Koyna Reservoir by integrated bathymetric survey

Patil, Rajendra; Shetkar, R.V.

doi:10.1201/9781315623207-231

Cited by 1 publication

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“…Bhavsar and Gohil (2015) reviewed studies related to reservoir sedimentation by using remote sensing techniques and stated that remote sensing technique is applicable and most useful, especially in the case of lack of ground data. Patil and Shetkar (2016) carried out a study to assess sediment deposition in Koyna reservoir in the Western Maharashtra, India, by using analytical methods, and they found that the error between the result of the analytical method and the integrated bathymetric survey (Patil and Shetkar 2015) measurements was 8.82% and suggested that the analytical method gives better results. Wulandari et al (2015) studied deposition pattern of Wonogiri reservoir sedimentation by monitoring reservoir bottom elevation change in years 1980, 1993, 2004, 2005 and 2011 measurements.…”

Section: Introductionmentioning

confidence: 99%

Determination of sediment deposition of Hasanlar Dam using bathymetric and remote sensing studies

Darama

Selek

et al. 2019

Nat Hazards

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Hasanlar Dam and Hydroelectric Power Plant are located on Küçük Melen Creek in the Western Black Sea Basin of Turkey. The dam was constructed in 1974 to provide domestic water needs of the Düzce Province, to supply irrigation water need, to control and mitigate floods and to produce hydroelectric power. This dam has been subjected to severe sedimentation since its construction in 1974. Therefore, bathymetric field survey studies were conducted to determine storage loss in the Hasanlar Dam reservoir by sedimentation. Bathymetric survey data from the reservoir site of the Hasanlar Dam were obtained in 1979, 1999 and 2014. Analysis of the bathymetric data, GIS and remotes sensing techniques showed that storage loss in reservoir active volume between 1974 and 1999 was 24% and between 1974 and 2014 storage loss was 26%. Analysis of the bathymetric maps also showed that sediment accumulation is severe near and around the dam body and the spillway whose discharge capacity was decreased by sediment accumulation. This is extremely critical because the flood of May 1998 caused the high risk of collapse of dam due to reduced capacity of the spillway. Remote sensing technique was used to determine the future deposition of sediment in the reservoir. For this purpose, 35 points in the reservoir area were determined by comparing the relative water depths and actual water depths using satellite image of the bathymetry in July 2017 and Lake Observation Station. High correlation (R 2 = 0.833) was calculated by using logarithmic nonlinear regression analysis between actual and relative water depths for those 35 control points. The average of absolute values of differences between the estimated and actual water depths was found as 1.06 m, and RMSE was calculated as 1.25 m. This analysis shows that in the future, remote sensing data can be used in the studies of determining the depth of water and the total sediment thickness. In addition, the volume of the entire reservoir can be predicted by measuring the actual water depth only at those 35 control points without making a bathymetric map of the whole dam reservoir.

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Section: Introductionmentioning

confidence: 99%