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A comprehensive optimum integrated water resources management approach for multidisciplinary water resources
Jafar Y Al-Jawad1, Hassan M Alsaffar2, Douglas Bertram1
1Department of Civil and Environmental Engineering, University of Strathclyde Glasgow, 75 Montrose St, Glasgow, G1 1XJ, United Kingdom.
This study introduces an Optimum Integrated Water Resources Management (OP-IWRM) approach to tackle complex, large-scale water management challenges. The novel method successfully improved economic, social, and environmental objectives in the Diyala river basin.
Area of Science:
- Environmental science
- Water resource management
- Optimization algorithms
Background:
- Implementing holistic Integrated Water Resources Management (IWRM) models is challenging due to complexity and high-dimensional optimization problems.
- Decision-makers often downscale these problems, potentially limiting comprehensive solutions.
Purpose of the Study:
- To develop a comprehensive Optimum Integrated Water Resources Management (OP-IWRM) approach using a many-objective optimization algorithm.
- To address complex, large-scale water resource management problems effectively.
Main Methods:
- Utilized a many-objective optimization algorithm to solve complex, large-scale problems.
- Integrated social, economic, and environmental objectives, considering ground and surface water, and water infrastructure.
- Applied the OP-IWRM approach to the Diyala river basin in Iraq, incorporating seventeen objectives and over 1500 decision variables.
Main Results:
- Demonstrated comprehensive improvements across all considered targets, including revenues, community welfare, and investment policy.
- Successfully managed seventeen objectives and over 1500 decision variables in a large-scale river basin.
Conclusions:
- The OP-IWRM approach offers a viable solution for complex, large-scale water resource management, potentially enabling reconsideration of holistic IWRM implementation.
- The OP-IWRM framework can be extended to a country-scale for national sustainable development planning.
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