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Optimal Treated Wastewater Allocation Among Stakeholders Based on an Agent-based Approach

Author

Listed:
  • Nafiseh Bahrami

    (Iran University of Science and Technology)

  • Mohammad Reza Nikoo

    (Sultan Qaboos University)

  • Ghazi Al-Rawas

    (Sultan Qaboos University)

  • Khalifa Al-Jabri

    (Sultan Qaboos University)

  • Amir H. Gandomi

    (University of Technology Sydney)

Abstract

Using unconventional water resources, such as treated wastewater (TWW), is an excellent alternative to meet excess water demands. Policymakers should consider optimal and equitable allocation of TWW to relieve conflicts among stakeholders. In the current research, an agent-based model (ABM) is integrated with a multi-objective optimization method (MOM) to fairly distribute water among different beneficiaries in Tehran Province, Iran. In ABM there are two groups of agents: water users and managers. Water users seek to minimize water shortages, and water managers are responsible for allocating water to the users fairly. Managers also assess different bankruptcy scenarios (BSs) for allocating TWW to each stakeholder, and the most agreeable scenario is selected. The Conditional Value-at-Risk (CVaR)-based objective functions are used to assess the risk of uncertainties under different confidence levels. Then, to prioritize the Pareto-optimal solutions, a novel multi-criteria decision-making (MCDM) method, named R-method, is utilized. Results show that considering stakeholders’ objectives and interactions can lead to finding a more equitable solution. Interactions among beneficiaries can diminish water shortages in the study area through an investment by the industrial sector in the agricultural sector to improve the efficiency of agricultural activities.

Suggested Citation

  • Nafiseh Bahrami & Mohammad Reza Nikoo & Ghazi Al-Rawas & Khalifa Al-Jabri & Amir H. Gandomi, 2023. "Optimal Treated Wastewater Allocation Among Stakeholders Based on an Agent-based Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 135-156, January.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:1:d:10.1007_s11269-022-03359-y
    DOI: 10.1007/s11269-022-03359-y
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    1. Dagan, Nir & Volij, Oscar, 1993. "The bankruptcy problem: a cooperative bargaining approach," Mathematical Social Sciences, Elsevier, vol. 26(3), pages 287-297, November.
    2. Alfredo Valdes Ramos & Elsa N. Aguilera Gonzalez & Gloria Tobón Echeverri & Luis Samaniego Moreno & Lourdes Díaz Jiménez & Salvador Carlos Hernández, 2019. "Potential Uses of Treated Municipal Wastewater in a Semiarid Region of Mexico," Sustainability, MDPI, vol. 11(8), pages 1-23, April.
    3. Parisa Ashofteh & Omid Bozorg Haddad & Miguel Mariño, 2013. "Scenario Assessment of Streamflow Simulation and its Transition Probability in Future Periods Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 255-274, January.
    4. Farhadi, Saber & Nikoo, Mohammad Reza & Rakhshandehroo, Gholam Reza & Akhbari, Masih & Alizadeh, Mohammad Reza, 2016. "An agent-based-nash modeling framework for sustainable groundwater management: A case study," Agricultural Water Management, Elsevier, vol. 177(C), pages 348-358.
    5. Jakob Kisiala, 2015. "Conditional Value-at-Risk: Theory and Applications," Papers 1511.00140, arXiv.org.
    6. Mustafa, Ahmed & Cools, Mario & Saadi, Ismaïl & Teller, Jacques, 2017. "Coupling agent-based, cellular automata and logistic regression into a hybrid urban expansion model (HUEM)," Land Use Policy, Elsevier, vol. 69(C), pages 529-540.
    7. Kosar Ebrahimzadeh Azbari & Parisa-Sadat Ashofteh & Parvin Golfam & Hugo A. Loáiciga, 2022. "Ranking of wastewater reuse allocation alternatives using a variance-based weighted aggregated sum product assessment method," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2497-2513, February.
    8. Maryam Soltani & Reza Kerachian & Mohammad Nikoo & Hamideh Noory, 2016. "A Conditional Value at Risk-Based Model for Planning Agricultural Water and Return Flow Allocation in River Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 427-443, January.
    9. Masih Akhbari & Neil Grigg, 2015. "Managing Water Resources Conflicts: Modelling Behavior in a Decision Tool," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5201-5216, November.
    10. Maryam Soltani & Reza Kerachian & Mohammad Reza Nikoo & Hamideh Noory, 2016. "A Conditional Value at Risk-Based Model for Planning Agricultural Water and Return Flow Allocation in River Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 427-443, January.
    11. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    12. Zolfaghary, Parvin & Zakerinia, Mahdi & Kazemi, Hossein, 2021. "A model for the use of urban treated wastewater in agriculture using multiple criteria decision making (MCDM) and geographic information system (GIS)," Agricultural Water Management, Elsevier, vol. 243(C).
    13. Shokoufeh Pourshahabi & Nasser Talebbeydokhti & Gholamreza Rakhshandehroo & Mohammad Reza Nikoo, 2018. "Spatio-Temporal Multi-Criteria Optimization of Reservoir Water Quality Monitoring Network Using Value of Information and Transinformation Entropy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3489-3504, August.
    14. Javad Shafiee Neyestanak & Abbas Roozbahani, 2021. "Comprehensive Risk Assessment of Urban Wastewater Reuse in Water Supply Alternatives Using Hybrid Bayesian Network Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 5049-5072, November.
    15. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
    16. Webby, R.B. & Adamson, P.T. & Boland, J. & Howlett, P.G. & Metcalfe, A.V. & Piantadosi, J., 2007. "The Mekong—applications of value at risk (VaR) and conditional value at risk (CVaR) simulation to the benefits, costs and consequences of water resources development in a large river basin," Ecological Modelling, Elsevier, vol. 201(1), pages 89-96.
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