Multi-Objective Optimization of Integrated Surface and Groundwater Resources Under the Clean Development Mechanism

Hamidreza Majedi, Hossein Fathian (), Alireza Nikbakht-Shahbazi, Narges Zohrabi and Fatemeh Hassani
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Hamidreza Majedi: Islamic Azad University
Hossein Fathian: Islamic Azad University
Alireza Nikbakht-Shahbazi: Islamic Azad University
Narges Zohrabi: Islamic Azad University
Fatemeh Hassani: Shirin Ab Zamin Consulting Engineers Co

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2021, vol. 35, issue 8, No 24, 2685-2704

Abstract: Abstract Acquiring sustainable water resources for water-based development of countries is the experts҆ concern in this field, who seek to follow the clean development mechanism (CDM) regulations and overcome water crisis through integrated water resources management (IWRM). The Great Karun River basin is one of the major basins in the Middle East. This basin, containing six of the largest reservoir dams with a cumulative power plant capacity of more than 10,500 MW generates about 93% of hydropower of Iran. The water balance of the aquifer in the study area was simulated using MODFLOW model while water resources and surface water reserves were simulated by the water evaluation and planning (WEAP) model. A separate simulation was performed with each of two models and the results of two models were coupled using a link file. The multi-objective function optimization process including the maximized supply of demands and hydropower and the minimized aquifer drawdown was completed using non-dominated sorting genetic algorithm (NSGA-II). All effective system components, such as inter-basin water transfer, integrated use of water resources, variation of irrigation network efficiencies, and the effect of water shortage were studied and analyzed under the targeted scenarios. Finally, the best scenario, which was capable to supply the future needs until time horizon of 2040 was planned for the basin considering minimization of aquifer drawdown and optimal generation of hydropower resulting in a maximum decrease in emission of greenhouse gases.

Keywords: Multi-objective optimization; Clean development mechanism; Greenhouse gas; Hydropower; NSGA-II algorithm (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11269-021-02860-0

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