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

Bahrami, N; Nikoo, MR; Al-Rawas, G; Al-Jabri, K; Gandomi, AH

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

Bahrami, N Nikoo, MR Al-Rawas, G Al-Jabri, K Gandomi, AH

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Water Resources Management, 2023, 37, (1), pp. 135-156
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Bahrami, N
dc.contributor.author	Nikoo, MR
dc.contributor.author	Al-Rawas, G
dc.contributor.author	Al-Jabri, K
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2024-01-30T04:43:25Z
dc.date.available	2024-01-30T04:43:25Z
dc.date.issued	2023-01-01
dc.identifier.citation	Water Resources Management, 2023, 37, (1), pp. 135-156
dc.identifier.issn	0920-4741
dc.identifier.issn	1573-1650
dc.identifier.uri	http://hdl.handle.net/10453/175073
dc.description.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.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Water Resources Management
dc.relation.isbasedon	10.1007/s11269-022-03359-y
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Environmental Engineering
dc.subject.classification	4005 Civil engineering
dc.title	Optimal Treated Wastewater Allocation Among Stakeholders Based on an Agent-based Approach
dc.type	Journal Article
utslib.citation.volume	37
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2024-01-30T04:43:24Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	37
utslib.citation.issue	1

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.

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http://hdl.handle.net/10453/175073