A multi-objective optimisation approach to water management.

Area of Science:

• Water Resource Management
• Environmental Science
• Agricultural Economics

Background:

• River basin management involves complex, competing demands from urban, agricultural, and environmental sectors.
• Existing optimization models often fail to integrate bio-economic objectives with environmental flow requirements.
• Balancing profitability with environmental sustainability in water resource allocation presents a significant challenge.

Purpose of the Study:

• To develop and present a multi-criteria decision-making (MCDM) framework for integrated water resource management.
• To address the knowledge gap in linking bio-economic goals with optimal water resource utilization under conflicting demands.
• To analyze the trade-offs between agricultural production targets and environmental constraints.

Main Methods:

• Development of a multi-criteria decision-making (MCDM) framework to handle conflicting objectives.
• Mathematical modeling to optimize the operation of a network of storages, canals, and irrigation districts.
• Incorporation of uncertainty related to climate, environmental policy, and market dynamics.
• Analysis of conflicts between profitability, production costs, and groundwater pumping.

Main Results:

• The MCDM framework effectively analyzes production targets under physical, biological, economic, and environmental constraints.
• Identified key conflicts between farm profitability, operational costs, and groundwater extraction.
• Demonstrated the challenge of efficient water resource management under environmental flow constraints.

Conclusions:

• Integrated water resource management necessitates a holistic approach considering diverse and often conflicting objectives.
• The proposed MCDM framework offers a viable solution for optimizing water allocation in complex river basins.
• Effective management strategies must account for economic drivers, environmental impacts, and inherent uncertainties.