Elham Darvishi; Tayebeh Kordestani
Abstract
The objective of distribution and delivery of water canal scheduling in irrigation canal networks is timely and adequate delivery of water with minimum operational stages of the head gate of supply canal in the presence of canal capacity and irrigation rotation period constraints. In this paper, two ...
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The objective of distribution and delivery of water canal scheduling in irrigation canal networks is timely and adequate delivery of water with minimum operational stages of the head gate of supply canal in the presence of canal capacity and irrigation rotation period constraints. In this paper, two objective functions, namely, the number of gate changes and the mean discharge for two networks, were minimized by the Genetic and NSGA-II algorithms. The results showed that minimizing these two objective functions at the same time leads to fewer gate changes compared to the only mean canal discharge objective function in both algorithms. It means the mean discharge objective function cannot minimize the number of operational stages alone. Also the optimization by NSGA-II algorithm did not make a significant difference in the results in comparison with the genetic algorithm for both objective functions. However, in NSGA-II algorithm, it is not necessary to determine the weight of each of the objective functions.
Arash Azari; Milad Asadi
Abstract
In the simulation models of water resource systems, calibration processes should be performed to approximate the simulated values to the observed values due to the errors in such models. However, due to being time consuming and the difficulties associated with manual calibration, an automatic calibration ...
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In the simulation models of water resource systems, calibration processes should be performed to approximate the simulated values to the observed values due to the errors in such models. However, due to being time consuming and the difficulties associated with manual calibration, an automatic calibration model can be a resolver. In this research, the simulation of Jareh Dam and network system was conducted using the WEAP model. Then, by linking this model to the NSGA-II algorithm, its automatic calibration was performed by this algorithm. Nach statistical parameter was used to check the calibration accuracy of the model. The whole system was in the form of a multi-objective NSGA-II algorithm, in which the first objective function, which was to minimize the difference between the observed and the calculated reservoir storage volumes, was assessed versus the second objective function, which was to minimize the difference in the calculated and the simulated discharges, at two Mashin and Jokank stations. The results showed the remarkable ability of NSGA-II algorithm for automatic model calibration, so that the operation status of the dam and river was of the greatest consistency with reality.
