Hydrological Dimensioning and Operation of Reservoirs

Hydrological Dimensioning and Operation of Reservoirs
Author :
Publisher : Springer Science & Business Media
Total Pages : 341
Release :
ISBN-10 : 9789401598941
ISBN-13 : 9401598940
Rating : 4/5 (940 Downloads)

Book Synopsis Hydrological Dimensioning and Operation of Reservoirs by : I.V. Nagy

Download or read book Hydrological Dimensioning and Operation of Reservoirs written by I.V. Nagy and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Storage reservoirs represent one of the most effective tools for eliminating, or at least for minimizing, discrepancies in the time and space variations of water resources distribution and requirements. In fact, the different - often contradictory - and increasing demands on water resources utilization and control usually can be fulfilled only by building multi-purpose reservoir systems. In this way, the available water resources can be exploited and/or managed in a more rational way. Typically, the construction of a dam across a river valley causes water to accumulate in a reservoir behind the dam; the volume of water accumulated in the reservoir will depend, in part, on the dimensions of the dam. The size of the dam will normally affect the capital expenditure in a very significant way. Indeed the construction of large water resource control systems - such as dams - generally involves rather huge manpower and material outlays. Consequently, the elaboration of effectual methods of approach that can be used in establishing the optimal reservoir parameters is of great practical significance. For instance, in the design and operation oflarge multi-reservoir systems, simple simulation and/or optimization models that can identify potentially cost effective and efficient system design are highly desirable. But it should be recognized that the problem of finding optimal capacities for multi-reservoir systems often becomes computationally complex because of the large number of feasible configurations that usually need to be analyzed.


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