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Authors: Chaudhuri, Dipankar
Issue Date: 2012
Abstract: Actual rate of incoming silt in DVC Reservoirs is much more than the anticipated or designed erosion rate of the upper catchment, So all the reservoirs are filling very fast, resulting a rapid decrease of its different storage zones. On the other hand due to long service of the reservoirs, operational criteria are changing time to time. As a consequence, it is required to evaluate the performance of the reservoir so that measures may be taken in time for its operations. _ In this study, performance of the Maithon reservoir was evaluated in two parts (a) Evaluation of different reservoir storage zones and (b) Evaluation of reservoir operational parameters. While evaluating different storage zones on ground of progressive siltation, it has been noted from the various studies as described in this dissertation that perhaps extrapolation of relative sediment deposition trend as obtained from reservoir capacity survey data is the best than any other established methods like Area Increment, Empirical Area Reduction etc. to predict the distribution of sediment along the depth of a reservoir. Studies were carried out in two reservoirs built on Barakar River-a tributary of Damodar River, located at Maithon and on Damodar River located at Panchet respectively. Study of the reservoir Panchet was considered to verify the developed extrapolation methodology. In this study, capacities in different storage zones of reservoirs at different projected time intervals have been predicted after distributing sediment by various methods including extrapolation technique and same has been compared with observed available capacity survey data. Here an attempt has been made to conceive or to visualize the actual sediment deposition pattern within reservoir considering spatial and temporal variation of deposition and hence to derive sediment distribution for the future scenarios. In case of reservoir operations, most of the parameters like inflow, level, storage etc. excepting demand are stochastic in nature. For successful reservoir operations, pre assessment of the said parameters is essentially required. To evaluate reservoir operational parameters detail trend study including reliability of inflow and other parameters was carried out in different time intervals of daily, ten daily, monthly and yearly. Study was also carried out regarding prediction of daily reservoir operational parameters based upon regression technique. Model performance study was taken out by Nash—Sutcliffe model coefficient and Pearson's correlation coefficient to verify the prediction. This study may provide a guideline to evaluate reservoir operational parameters and to formulate regression models for day to day reservoir operations
Other Identifiers: M.Tech
Appears in Collections:MASTERS' DISSERTATIONS (Hydrology)

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