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Application of an Optimization Model for Water Supply Chain Using Storage Reservoir Operation for Efficient Irrigation System

Author

Listed:
  • Faisal M. Alfaisal
  • Shamshad Alam
  • Raied Saad Alharbi
  • Kiranjeet Kaur
  • Mohammad Amir Khan
  • Mohammad Faraz Athar
  • Saima Ahmed Rahin
  • Peiman Ghasemi

Abstract

The model was created to assist in the appropriate allocation of water to produce crops to optimize net profit through monthly reservoir operation. The model maximizes net crop revenue and determines the type and size of the cultivated crop for each zone, taking into account monthly reservoir water availability. The following factors constrain the optimization model: (1) monthly reservoir water availability; (2) monthly water demand and irrigated farmland for crops; (3) limited crop areas in each zone; (4) projected final storage; (5) proportional sharing rule (PSR) for each zone. The linear programming (LP) algorithm is used to formulate the model, which is then solved using the general algebraic modeling system (GAMS). The model is applied to Hali Dam and validated using two criteria: (1) baseline scenarios (non-PSR) and (2) PSR scenarios in which all zones must have the same amount of water. The results demonstrate that the PSR scenarios give all of these zones identical rights for water delivery, with a total net profit reduction of around 2.6 percent at the planned final storage of 100 Hm3. As a result, the current model can be utilised to optimize dam water consumption in the future. The methodology is applied to a reservoir of Hali Dam in Saudi Arabia to demonstrate the model’s practical application.

Suggested Citation

  • Faisal M. Alfaisal & Shamshad Alam & Raied Saad Alharbi & Kiranjeet Kaur & Mohammad Amir Khan & Mohammad Faraz Athar & Saima Ahmed Rahin & Peiman Ghasemi, 2023. "Application of an Optimization Model for Water Supply Chain Using Storage Reservoir Operation for Efficient Irrigation System," Discrete Dynamics in Nature and Society, Hindawi, vol. 2023, pages 1-13, January.
  • Handle: RePEc:hin:jnddns:7932653
    DOI: 10.1155/2023/7932653
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