نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانش آموخته کارشناسی ارشد/ مهندسی و مدیریت منابع آب، دانشکده مهندسی عمران، آب و محیط‌زیست، دانشگاه شهید بهشتی، تهران، ایران.
2 استادیار/ دانشکده مهندسی عمران، آب و محیط‌زیست، دانشگاه شهید بهشتی، تهران، ایران.
چکیده
کلیدواژه‌ها
عنوان مقاله [English]
نویسندگان [English]
In this study, a method has been developed to improve reservoir water through selective withdrawal and release of contaminated water from the lower level of the dam. A two-dimensional model called CE-QUAL-W2 was used to simulate the reservoir quality processes. Then this model is coupled with an optimization algorithm (particle swarm optimization). The proposed simulation-optimization approach is able to find optimal operation policies to improve water quality in the reservoir and downstream river. In order to increase the efficiency and reduce the computational time, an artificial neural network model replaced with the reservoir water quality simulation model. The performance of the model is evaluated for a real case for a 2-year simulation period. Different scenarios of reservoir operation are considered and using the simulation model (meta model), the pollutant concentration of the index is calculated and ultimately optimal operation policy of the reservoir is determined. The results show that the average amount of dissolved oxygen in the released from the reservoir for optimal operation policy is about 25% better than the current operating conditions. So that the eutrophication status of the reservoir is improved in relation to the existing condition, which in some months like June is in high eutrophication state, it has been improved in most months of the year to low eutrophication state. The comparison between dissolved oxygen concentrations of reservoir outflow in optimum operation policy with the existing operational conditions showed high efficiency of the proposed method and significant improvement in reservoir water quality.
کلیدواژه‌ها [English]
)