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Research Article Open Access
Now a day‘s, computational modeling has gained much importance for the determination of several phenomenon in the field of Hydrology. Artificial intelligence are now being used for prediction of rainfall, runoff etc. This paper depicts that how linear programming can be applied for the determination of reservoir capacity. Reservoir capacity depends on the inflow available and demand where inflow in the river is always greater than the demand, there is no storage required and if the inflow in the river is small but the demand is high, a large reservoir capacity is required. Here, two sets of constraints to be satisfied, one relates to storage continuity and the other to capacity. These two constraints are employed to define the linear equations and to develop the model. To get accurate results evaporation loss is also accounted for constructing the model. After the development of the model, it is analysed using LINGO software in which values of the reservoir are provided and the reservoir capacity is determined.
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Author(s): Susom Dutta
Reservoir capacity, mass balance, active storage, dead storage, evaporation loss, linear programming, LINGO., Fluid Dynamics