Mary Regina, FLeena, DivakarKAU2017-11-252017-11-252000http://krishikosh.egranth.ac.in/handle/1/5810036421During the past three decades, the application of the systems approach to reservoir management application has been established as one of the most important advances made in the field of water resources engineering. Water resources planning has become exceedingly complex and is bound to become even more complex in the future considering the various demands. Application of sophisticated techniques for scientific planning and utilisation of the limited available water resources has become highly necessary to meet the growing demands of various types of consumptive and non-consumptive needs. Though India has been endowed with plenty of rainfall, the distribution is uneven both in time and space. A reservoir system simulation model reproduces the hydrologic and in some cases economic performance of a reservoir system for given inflow and operating rules. A computer simulation model for a multipurpose reservoir system was developed and tested for Peechi reservoir of Kerala state in south India. The model was designed for monthly operation with historic inflow of 35 years. The model obtains the monthly releases for various uses. The monthly water requirements for different purposes like drinking, irrigation, pisciculture and recreation are taken as the target to be achieved by the model. Out of the different uses only irrigation demand had monthly variation and the rest were taken as constants along with the dead storage and the maximum capacity for opening of the shutters. The objective of the model is to minimise the deviations of the release from the targets for each demand. The model has been formulated with appropriate priorities, which satisfy the continuity and physical conditions of the system. The priorities of different water demands can be altered at any stage of the operation according to the changing needs of the region The program is written in Visual Basic-6.0 and the results gave the monthly releases and deficits of different demands. One advantage of the model is that even non technical decision makers can comprehend the results obtained from this. The efficiency of the model is such that the solution can be obtained in the quickest time possible and is very user friendly.ennullThesis