Optimal Allocation of Water Resources for the Operation of Multi-Objective Reservoir

Section: Research Paper
Issue
Vol. 30 No. 1 (2025): Volume 30 Issue 1
Published
Mar 1, 2025
Pages
112-124

Abstract

A multi-objective model was developed to achieve a fair and acceptable allocation of Mosul dam reservoir. The model is aimed to maximize hydropower generation and provide the maximum water irrigation requirements for Al-Jazeera Northern Irrigation Project (ANIP) for three scenarios of reservoir inflow (wet, normal and dry seasons). The optimal results of Pareto front demonstrated the efficiency and success of multi-objective genetic algorithms (MOGA) to achieve fair and acceptable allocation of available water resources in multi-objective reservoirs. In Decision making method, seven distinct points were prepared that depend on the goal of allocating water to the AINP. Using these points, the amount of water allocated for irrigation is gradually increased, and values corresponding to the amount of the hydropower generation goal are found for each scenario. The results of the decision-making process for the seven identified points showed that the balance point can be considered point 7 as it has the possibility of allocating water to irrigate the three stages of ANIP with an increase in hydroelectric power generation for the three seasons by (26.96, 8.42, and 0.22) % respectively. This means that the project can be fully operated even in the dry season. Therefore, those managing persons who are responsible for the water resources of the Mosul Dam must reconsider the water allocation plans currently in place.

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Authors

Mohammed Awni Khattab

Department of Dams and Water Resources Engineering,Collage of Engineering,University of Mosul,Mosul,Iraq

ORCID

Identifiers

https://doi.org/10.33899/arej.2024.148190.1349
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How to Cite

[1]
M. Awni Khattab and محمد, “Optimal Allocation of Water Resources for the Operation of Multi-Objective Reservoir”, AREJ, vol. 30, no. 1, pp. 112–124, Mar. 2025.
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