Abstract:
Planning an irrigation project involves knowledge of the reservoir yield. Reservoir yield is the amount of water that can be supplied from a reservoir over a period of time. Estimation of the annual reservoir yield that can be expected from the reservoir is vital for planning an irrigation project. Among the many methods, yield model is a relatively simpler and quicker method for estimating reservoir yield. It is a general purpose, implicitly stochastic linear-programming screening model that greatly reduces the size of the constraint equations needed to describe reservoir system operation and provide a reasonable estimate of the annual reservoir yield for a desired reliability. This study attempts to estimate the optimal annual yield, using reservoir yield model, that could be obtained from the proposed Morand reservoir project in the middle zone of Narmada Basin in the State of Madhya Pradesh, India, and work out optimal allocations of land and water resources, using crop planning model, to develop cropping patterns for the annual reservoir yields that can be obtained from the reservoir for different degrees of annual project dependability. The linear programming method is used for both the models. The yield model provides a reasonably acceptable estimate of annual reservoir yield for planning a reservoir project.
