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An inexact fractional programming model for irrigation water resources optimal allocation under multiple
Chongfeng Ren1,2, Jiantao Yang1,2, Hongbo Zhang1,2
1Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region, Ministry of Education, Xi'an, Shaanxi Province, China.
Plos One
|June 14, 2019
Summary
This study introduces a fuzzy fractional programming model to optimize irrigation water allocation amid water shortages and system uncertainties. The model aids decision-making for efficient water resource management and improved agricultural economic benefits.
Area of Science:
- Agricultural Water Management
- Optimization Modeling
- Environmental Science
Background:
- Regions face severe water shortages impacting sustainable development.
- Irrigation systems are inherently subject to various uncertainties.
Purpose of the Study:
- To develop a fully fuzzy fractional programming model for optimizing irrigation water resource allocation.
- To enhance water use efficiency and maximize economic benefits from water resources.
Main Methods:
- A fully fuzzy fractional programming model was formulated.
- The model considered the conjunctive use of surface and underground water resources.
- The model was applied to a case study in Minqin County, China.
Main Results:
- The model provided a series of optimal crop area and planting schemes under different alpha-cut levels.
- The results offer data-driven insights for effective irrigation water management.
- The study demonstrated the model's utility in addressing water scarcity challenges.
Conclusions:
- The developed fuzzy fractional programming model is effective for optimizing irrigation water allocation under uncertainty.
- The findings support informed decision-making for sustainable water resource management in arid and semi-arid regions.
- Improving water use efficiency through optimized allocation is crucial for regional development.
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