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Updated: Nov 7, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Water resources allocation model based on ecological priority in the arid region.

Li Jin-Yan1, Cui Lan-Bo1, Dou Miao1

  • 1School of Civil & Water Conservancy School, Ningxia University, 539#, Helanshan West Road, Xixia Region, Yinchuan City, Ningxia Hui Autonomous Region, 750021, PR China.

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Summary

This study develops a rational water resource allocation framework for arid regions, prioritizing ecological needs and integrating economic and social benefits for sustainable development.

Keywords:
Ecological priorityMulti-objective modelRational allocation of water resources

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Area of Science:

  • Environmental Science
  • Water Resource Management
  • Sustainable Development

Background:

  • Arid regions in central and southern Ningxia face unique water resource challenges.
  • Existing water resource allocation theories require enhancement for sustainable development.

Purpose of the Study:

  • To construct a theoretical framework for rational water resource allocation prioritizing ecological needs.
  • To develop a mathematical model for optimizing water allocation based on ecological, economic, and social benefits.

Main Methods:

  • Developed a theoretical framework for ecological priority-based water allocation.
  • Established a "pumping, piloting, storage" water supply pattern.
  • Created a mathematical model integrating ecological, domestic, economic, and social benefits.

Main Results:

  • The study successfully integrated ecological and domestic water needs into the overall benefit calculation.
  • A mathematical model was developed to prioritize ecological water requirements.
  • Constructive suggestions for regional water resource allocation were provided.

Conclusions:

  • The developed framework and model offer a scientific basis for rational water resource allocation in arid regions.
  • Prioritizing ecological water ensures sustainable development alongside economic and social progress.
  • The findings guide future research and practical application in regional water management.