Optimization of Integrated Management to use Surface Water and Groundwater Resources by Using Imperialist CompetitiveAlgorithm and Genetic Algorithm (Tehran Plain)

سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 319

فایل این مقاله در 16 صفحه با فرمت PDF قابل دریافت می باشد

این مقاله در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_CEJ-3-11_006

تاریخ نمایه سازی: 6 آذر 1397

چکیده مقاله:

The extensive development of activities in different areas of surface and underground water resources and the lack ofsufficient attention to integrated planning and management necessitates research in this regard. Due to the imbalance inthe distribution of water resources and the constraints on water resources and the constraints on the use of surface water,it is necessary to combine the use of surface water and underground water resources. In this study, the modelling is donein such a way that maximum use of surface water is achieved and the rate of utilization of groundwater reaches itsminimum. In this study, imperialist and genetic competition algorithms are used for optimization. In this study, the extentof utilization of groundwater resources is limited and it has tried to use all of the surface water resources of Tehran Plain.The results of this study showed that the amount of water needed from the beginning of the year begins to decrease andthen increases, and this increase is related to the warm seasons of the year. Surface water levels increase in cold seasons.In the cold seasons, the supply of water requirements was complete, but in the warm seasons, some water requirementswere not met. The results of this study indicate that if the amount of groundwater resources is kept to an optimum levelwithin 10 years, the problem of groundwater resources in Tehran plain will be solved.

نویسندگان

Vahidreza Amiresmaeili

Department of Civil Engineering, Higher educational complex of Saravan, Saravan, Iran

Hossein Jahantigh

Assistant professor, Department of Natural Resources, Higher Educational Complex of Saravan, Iran