Multi-objective planning for optimal utilization of surface and groundwater resources and artificial recharge system

Document Type : Research Article


1 Department of Water Science and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Professor, Department of Water Science and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Department of Agronomy, Karaj Branch, Islamic Azad University, Karaj, Iran


Population growth and water needs in developed areas have created many challenges in supplying water needs. This causes numerous problems in the quantity and quality of surface and groundwater resources. Given this issue, optimal water resources management is essential. In this research, the mathematical model (HEC-HMS) was used for flood routing in Karaj river and artificial recharge system reservoirs located in the north of Shahriar plain. Then, the volume of flood infiltration in Karaj river and also the volume of flood storage in the reservoirs of artificial recharge plan entered the multi-objective genetic algorithm (NSGA-II) from which to plan the integrated exploitation of water resources of Shahriar plain and optimal utilization of the artificial recharge system and It was used with the aim of minimizing the lack of need supply and maximizing the volume of penetration in the artificial recharge system. Considering to the results of the optimization model, the optimal allocation volume of surface water, groundwater, Wastewater and Robat Karim canal and the amount of optimal recharge volume in the artificial recharge system were determined. The results of this study show the high performance of optimal planning models to increase the stability of groundwater system, optimal utilization of surface water resources and wastewater, more efficient use of artificial recharge system and irrigation and drainage network of Robat Karim.


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Volume 9, Issue 1
April 2022
Pages 77-95
  • Receive Date: 23 September 2021
  • Revise Date: 21 November 2021
  • Accept Date: 31 January 2022
  • First Publish Date: 21 March 2022