[Optimal allocation of irrigation water resources based on systematical strategy]

Area of Science:

• Agricultural Science
• Water Resource Management
• Environmental Engineering

Background:

• Increasing population and economic development intensify water resource scarcity.
• Competition for water resources reduces availability for irrigation, impacting food security.
• Current irrigation water allocation studies lack systematic, multi-scale analysis.

Purpose of the Study:

• To propose a systematic, multi-level, multi-scale framework for irrigation water allocation.
• To provide a theoretical basis for optimizing water distribution in agriculture.
• To enhance water use efficiency and support food security.

Main Methods:

• Literature review focusing on intelligent algorithms for water allocation.
• Development of a novel multi-level, multi-scale framework.
• Illustration of the theoretical components of the proposed framework.

Main Results:

• A comprehensive framework for systematic irrigation water allocation is presented.
• The framework addresses both temporal (total volume) and spatial (water loss) aspects of water management.
• It offers a scientific basis for improved irrigation water management.

Conclusions:

• Optimal irrigation water allocation requires a systematic, multi-level, and multi-scale approach.
• The proposed framework provides a scientific and technical foundation for better water management.
• Effective irrigation management is crucial for ensuring food security in the face of water scarcity.