Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/3702
Title: OPTIMAL DESIGN OF RESERVOIR STORAGE
Authors: Ram, S. Raghu
Keywords: WATER RESOURCES DEVELOPMENT AND MANAGEMENT;OPTIMAL DESIGN;RESERVOIR STORAGE;PROBABILITY ROUTING
Issue Date: 1972
Abstract: Estimation of storage capacity of a Reservoir, to utilise waters for the various purposes namely Irrigation, Power .generation, Flood Control, Navigation etc. is an important hydrological problem. In the context of the increased and the ever increasing need for water, and in view of the need for optimal utilisation of water resources within fixed boundaries, it is very much imperative to draw sharp decisions regarding storage capacity. In this context it is necessary to make a study of the traditional methods for the design of Reservoir capacity as well as to analyse the new techniques that are being developed in this field. It is also to be seen how far the new techniques can be made use of for our problems, their advantages and limitations. In the present work, an attempt has been made to briefly review the various traditional approaches to design the reservoir capacity, namely the methods of Rippl (Mass Curve) , Hazen, Sudler and Hurst, The developing techniques based on the Synthetic generation of data, queuing theory, simulation analysis and the works of Moran, Langbein, Ye crewed . Thomas and Fiering in this field, have been Bpae . Optimal Designs of storage capacity has been analysed by taking a numerical example, based on flow data given for project work of W.R .D. T. C. during 1971-72. The ten day flow data for 20 years was given in the project paper. 4 2 The studies have been made with respect to a particular draft rate which varies from month to month. For the methods, by which it is not possible to analyse varying draft rate, uniforru draft rate is considered. Simulation studies have been conducted by using 100 years generated data. Computer has been made use of for the synthetic generation of data, simulation studies and probability Routing.
URI: http://hdl.handle.net/123456789/3702
Other Identifiers: M.Tech
Research Supervisor/ Guide: Singhal, M. K
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' THESES (WRDM)

Files in This Item:
File Description SizeFormat 
WRDM107285.pdf5 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.