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Multi-Objective Optimization Model for the Allocation of Water Resources in Arid Regions Based on the Maximization of Socioeconomic Efficiency

Author

Listed:
  • M. Habibi Davijani

    (Water Resources Engineering)

  • M. E. Banihabib

    (University of Tehran, University College of Abureyhan)

  • A. Nadjafzadeh Anvar

    (Politecnico di Milano University)

  • S. R. Hashemi

    (University of Birjand)

Abstract

The escalating world population has led to a drastic increase in water demand in the municipal and drinking water, agriculture and industry sectors. This situation necessitates application of effective measures for the optimal and efficient management of water resources. With this respect, a two-objective socioeconomic model (aimed at job creation) has been presented in this study for the optimum allocation of water resources to industry, agriculture and municipal water sectors. In the agriculture sector, the production function of each product has been determined and then, based on the production functions, areas under cultivation, product yield and the income obtained from each product, the combined objective function has been specified. In the industry sector, since water demand is a function of the amount of produced products, price of supplied water and the price of other supplies, the demand function of this sector was determined regionally. Also, considering the existing necessity in meeting the municipal water requirement, the total amount of water needed by this sector was fully allocated. Then by using two meta-heuristic algorithms, i.e. genetic algorithm (GA) and particle swarm optimization (PSO), the objective functions were maximized and the water resources were optimally allocated between agriculture and industry sectors and the results were compared. Ultimately, comparing the results gained by PSO and GA algorithms, PSO with an economic and profit growth of 54 % and a 13 % rise in employment relative to the base condition, turned out to be more efficient in this application.

Suggested Citation

  • M. Habibi Davijani & M. E. Banihabib & A. Nadjafzadeh Anvar & S. R. Hashemi, 2016. "Multi-Objective Optimization Model for the Allocation of Water Resources in Arid Regions Based on the Maximization of Socioeconomic Efficiency," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 927-946, February.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:3:d:10.1007_s11269-015-1200-y
    DOI: 10.1007/s11269-015-1200-y
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    18. Jianwei Wang & Tianling Qin & Xizhi Lv & Yongxin Ni & Qiufen Zhang & Li Ma, 2023. "Study of Optimal and Joint Allocations of Water and land Resources for Multiple Objectives," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1241-1256, February.
    19. Khawar Naeem & Adel Zghibi & Adel Elomri & Annamaria Mazzoni & Chefi Triki, 2023. "A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand," Sustainability, MDPI, vol. 15(8), pages 1-24, April.
    20. Amir Hatamkhani & Ali Moridi, 2021. "Optimal Development of Agricultural Sectors in the Basin Based on Economic Efficiency and Social Equality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 917-932, February.
    21. R. Roozbahani & B. Abbasi & S. Schreider & J. Iversen, 2021. "Dam Location-Allocation under Multiple Hydrological Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 993-1009, February.
    22. Shenlin Li & Xiaohong Chen & Vijay P. Singh & Yanhu He, 2018. "Assumption-Simulation-Feedback-Adjustment (ASFA) Framework for Real-Time Correction of Water Resources Allocation: a Case Study of Longgang River Basin in Southern China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 3871-3886, September.
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