A fuzzy multi-stakeholder socio-optimal model for water and waste load allocation
Mehrdad Ghorbani Mooselu1, Mohammad Reza Nikoo2, Mojtaba Sadegh3
1School of Engineering, Dept. of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran.
Environmental Monitoring and Assessment
|May 11, 2019
Summary
This study presents a novel fuzzy method for optimal water and waste load allocation in rivers, considering upstream flow uncertainty and social preferences. It helps achieve equitable resource management among diverse stakeholders.
Area of Science:
- Environmental Engineering
- Water Resource Management
- Operations Research
Background:
- River systems face challenges in balancing water quality and waste allocation due to upstream flow uncertainty.
- Stakeholder interests and social choice rules (SCRs) complicate optimal resource management decisions.
- Existing methods often struggle to integrate uncertainty and diverse stakeholder preferences effectively.
Purpose of the Study:
- To develop a fuzzy multi-stakeholder socio-optimal methodology for joint water and waste load allocation (WWLA).
- To address upstream flow uncertainty and incorporate various social choice rules (SCRs) in decision-making.
- To identify equitable and optimal WWLA scenarios considering diverse stakeholder utilities.
Main Methods:
- Utilized QUAL2Kw for scenario generation and developed a meta-model using multivariate linear regressions.
- Applied fuzzy transformation method (FTM) to assess upstream flow uncertainty.
- Integrated the meta-model with NSGA-II for multi-objective optimization and employed fuzzy methods (possibility degree, fallback bargaining) to select optimal SCRs.
Main Results:
- Generated trade-off curves between stakeholder utility functions across different confidence levels of flow uncertainty.
- Determined fuzzy interval solutions for WWLA objectives using five SCRs.
- Identified the most appropriate SCR for each confidence level based on stakeholder priorities and fallback bargaining.
Conclusions:
- The proposed fuzzy methodology effectively achieves socio-optimal WWLA by integrating flow uncertainty and multiple stakeholder preferences.
- The approach provides a robust framework for equitable water resource management in river systems.
- Demonstrated efficacy in a case study on the Kor River, Iran, highlighting its practical applicability.
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