Furthermore, the two optimization algorithms were used to achieve the global optimal solution of the objective function, and reduced the failure of the domestic sector by 10% while meeting the required objective in water-limited periods. The results showed that the objective function and the Nash bargaining solution method led to a water utility for all stakeholders of 98%. According to the policies for the agricultural sector, water allocation optimization for different sectors was carried out using three scenarios: (1) the current situation, (2) optimization of the cultivation pattern, and (3) changes to the irrigation system. The relative weights of different sectors in the objective function were determined using a discrete kernel based on the priorities stipulated by the government (the Lake Urmia National Restoration Program). The Mahabad Dam in West Azerbaijan, Iran, was used as a case study site due to its complex water allocation requirements for multiple stakeholders, including agricultural, domestic, industrial, and environmental sectors.
Additionally, the genetic and ant colony optimization algorithms were used to achieve optimal solutions of the objective function. In this study, the Nash bargaining solution method was used to formulate an objective function for water allocation in a reservoir. Resource competition warrants the use of bargaining solution approaches to develop an optimal operational scheme. However, different stakeholders in reservoir management often have different interests and resource competition may provoke conflicts. from ArcGIS, QGIS and other sources.Abstract: Optimizing reservoir operation is critical to ongoing sustainable water resources management. Estimate accurately /apportion dry weather flows and rainfall-dependent inflow/infiltration in sanitary sewers and efficiently parameterize sub catchments, sewer trunk data, etc.Analyze continuous water quality and quantity including analysis of Low Impact Development (LID) and other source controls.
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