Long-term resilience in wastewater management: Optimizing treated wastewater allocation with a dynamic multi-agent approach
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View abstract on PubMed
Summary
This summary is machine-generated.This study optimized treated wastewater allocation for agriculture, industry, and urban green spaces using a complex adaptive system. Scenario 4 effectively balanced sector demands, improving key performance indices for sustainable water management.
Area Of Science
- Environmental Science
- Water Resource Management
- Systems Engineering
Background
- Water scarcity necessitates efficient management of limited freshwater resources.
- Treated wastewater reuse is crucial for sustainable development and meeting sectoral demands.
- Optimal allocation strategies are needed to balance competing needs of agriculture, industry, and urban green spaces.
Purpose Of The Study
- To develop and evaluate an optimal treated wastewater allocation strategy.
- To integrate System Dynamics (SD) and Agent-Based Modeling (ABM) within a Complex Adaptive System (CAS) framework.
- To identify allocation strategies that support economic, social equity, and sectoral growth over 25 years.
Main Methods
- Integrated System Dynamics (SD) and Agent-Based Modeling (ABM) in a Complex Adaptive System (CAS).
- Employed Non-dominated Sorting Genetic Algorithm II (NSGA-II) for multi-objective optimization.
- Simulated four distinct management scenarios over a 25-year period.
Main Results
- All four management scenarios aligned with governmental strategies.
- Scenario 4 demonstrated the most effective allocation, meeting all sector demands.
- Significant improvements observed in Agriculture (CY: 0.2 to 0.68), Industry (IGI: 1 to 1.63), and Urban Green Space (GAI: 1 to 1.23) indices.
Conclusions
- The integrated CAS model provides a strategic blueprint for treated wastewater allocation.
- Optimal allocation can achieve economic and social equity while fostering sectoral growth.
- This replicable model aids policymakers in sustainable water resource management and ecological preservation.
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