TY - JOUR
T1 - A novel CVaR-based conflict resolution model for optimal allocation of treated wastewater under bankruptcy conditions
AU - Tayebikhorami, Saeid
AU - Nikoo, Mohammad Reza
AU - Izady, Azizallah
AU - Adamowski, Jan
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020
Y1 - 2020
N2 - Increasing water resource demands associated with rapid population and industrial growth have raised important concerns regarding water supply under sustainable development. Some of these concerns have been alleviated by using treated wastewater (TWW) as an alternative water resource for applications such as irrigation and industrial cooling. To achieve optimal and equitable water resource allocation amongst stakeholders, a novel risk-based multi-objective TWW allocation optimization framework was developed to model stakeholders’ conflicting objectives and to consider potential resource losses linked to uncertainty. The proposed framework was tested to determine the TWW allocation policy best suited to the eastern portion of the province of Tehran, Iran, for the planning horizon of 2031. The results indicate that first, the proposed model provides a reasonable sharing policy to effectively resolve conflicts between involved stakeholders. Second, the solutions are sensitive to the confidence level of the risk model during the optimization process, and hence, one has to be conservative in assigning a confidence value when using this framework. Third, the obtained compromise solution differs from the most preferred solution of each stakeholder, which is consistent with the nature of bargaining problems. Lastly, shortage occurred when trying to meet the demand of the municipal sector (MS), and therefore, bankruptcy procedures and social choice rules (SCR) were only applicable to the MS share of TWW. Results of SCRs revealed that the Constrained Equal Award method is preferred for the provision of a socially acceptable sharing scenario in the presence of a water shortage. Overall, the efficiency and efficacy of the developed equity-based model to resolve conflicts related to resource allocation were confirmed.
AB - Increasing water resource demands associated with rapid population and industrial growth have raised important concerns regarding water supply under sustainable development. Some of these concerns have been alleviated by using treated wastewater (TWW) as an alternative water resource for applications such as irrigation and industrial cooling. To achieve optimal and equitable water resource allocation amongst stakeholders, a novel risk-based multi-objective TWW allocation optimization framework was developed to model stakeholders’ conflicting objectives and to consider potential resource losses linked to uncertainty. The proposed framework was tested to determine the TWW allocation policy best suited to the eastern portion of the province of Tehran, Iran, for the planning horizon of 2031. The results indicate that first, the proposed model provides a reasonable sharing policy to effectively resolve conflicts between involved stakeholders. Second, the solutions are sensitive to the confidence level of the risk model during the optimization process, and hence, one has to be conservative in assigning a confidence value when using this framework. Third, the obtained compromise solution differs from the most preferred solution of each stakeholder, which is consistent with the nature of bargaining problems. Lastly, shortage occurred when trying to meet the demand of the municipal sector (MS), and therefore, bankruptcy procedures and social choice rules (SCR) were only applicable to the MS share of TWW. Results of SCRs revealed that the Constrained Equal Award method is preferred for the provision of a socially acceptable sharing scenario in the presence of a water shortage. Overall, the efficiency and efficacy of the developed equity-based model to resolve conflicts related to resource allocation were confirmed.
KW - Bankruptcy procedures
KW - Conflict resolution
KW - Risk-based multi-objective optimization
KW - Treated wastewater allocation
KW - Unanimity fallback bargaining
KW - Water resources management
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U2 - 10.1016/j.jclepro.2019.119766
DO - 10.1016/j.jclepro.2019.119766
M3 - Article
SN - 0959-6526
VL - 252
SP - 119766
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 119766
ER -