Assessment of Reservoir Sedimentation in Aid of Satellite Imageries – A case study

U.C Roman, Dr S Sreekanth and Kamuju Narasayya

1Senior Research Officer, 2Research Officer and 3Assistant Research Officer

 Central Water and Power Research Station, Ministry of Water Resources, Government of India, Khadakwasla, Pune –411024



       Remote sensing is proved to be a useful tool to provide an instantaneous and synoptic view of suspended sediments in rivers and estuaries. In case of rivers sediment particles originating from processes of erosion in the catchment and propagated along with the river flow. When the flow of a river is stored in a reservoir, the sediment settles in the reservoir and reduces its capacity. Reduction in the storage capacity of a reservoir beyond a limit hampers the purpose for which it was designed. Thus assessment of sediment deposition becomes very important for the management and operation of such reservoirs. Some conventional methods, such as hydrographic survey and inflow-outflow approaches, are used for estimation of sediment deposition in a reservoir, but these methods are cumbersome, time consuming and expensive. As a result multi date remote sensing data (IRS-1C/1D/P6, L1SS III) has been utilised to calculate water spread area. The revised capacity of the reservoir between maximum and minimum water levels were computed using the prismoidal formula. The capacity estimated could be utilised for compaision with hydographic survey to estimate loss of capacity of the reservoir. As such the loss of reservoir capacity is equal to the sediment deposition takes place in the reservoir. In this paper a reservoir namely ‘panshet’ a popular name ‘Tanaji sagar’ has taken for assessment of reservoir sedimentation. After adopted this procedure the loss in reservoir capacity due to sediment deposition for a period of 25 years (1975-2002) was estimated as 25.08 Mm3, which gives an average sedimentation rate of 1.00 Mm3per year. The overall loss in the capacity is observed to be 8.25% of the total gross storage in 25 years.







International eJournal of Mathematics and Engineering

Volume 3, Issue 4, Pages:  1839 - 1850