A. Davani Motlagh - Department of Civil Engineering, Central Tehran Branch, Islamic Azad University Tehran, Iran
M.S. Sadeghian - Department of Civil Engineering, Central Tehran Branch, Islamic Azad University Tehran, Iran
A.H. Javid - Department of Environmental Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
M.S. Asgari - Department of Mathematics, Central Tehran Branch, Islamic Azad University , Tehran, Iran.

With the growth of population, shortage of water, and severe lack of water resources, optimization of reservoirs operation is a principal step in water resource planning and management. Therefore, in the present study, water was optimally allocated for a period from ۲۰۱۰ to ۲۰۲۰ using two simulation-optimization models based on Grey Wolf Optimization algorithm (GWO) and Genetic Algorithm (GA) and WEAP model. System operational indices including volumetric reliability, temporal reliability, vulnerability, and sustainability were used to evaluated the perforemance of optimization algorithms as well as WEAP model. The objective function of resources allocation problem was minimizing sum of the squared relative deficiencies for each month and maximizing reliability over the entire ۱۱-year period. The results showed that optimal allocation solution found by the GWO algorithm with volumetric reliability, vulnerability, and sustainability indices which were ۸۶.۹۳, ۰.۲۹, and ۲۱.۴۸%, respectively was better and more suitable than the optimal allocation solution found by GA algorithm (which were ۸۷.۱۲, ۰.۴۱, and ۲۱.۳۴%, respectively). Finally, given an increase in the water demands , it is possible to obviate the needs of beneficiaries to an acceptable level and prevent severe draught in dry months through optimizing the use of available resources. According to the calculated indices for the WEAP model, in which volumetric reliability, vulnerability, and sustainability were equal to ۸۷.۴۶, ۰.۹۲, and ۱.۰۳%, respectively. It can be concluded that the use of optimization algorithm in optimal operation of the dam is more reliable than WEAP model.

optimization, Taleghan Dam, Grey wolf optimization algorithm, Genetic Algorithm, WEAP software