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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Robust optimization with equity and efficiency framework for basin-wide water resources planning.

Yuhong Shuai1, Xiaoping He2, Liming Yao3

  • 1Business School, Sichuan University, Chengdu, 610065, China.

Journal of Environmental Management
|August 22, 2022
PubMed
Summary

This study presents a water resource planning framework for water-stressed regions, balancing reliability and optimal goals under uncertainty. Robust policies improve water allocation efficiency with minimal cost increases.

Keywords:
Cooperative gameEfficient water re-allocationEquitable initial water allocationRobust optimizationUnder uncertaintyWater trade

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Area of Science:

  • Environmental Science
  • Water Resource Management
  • Operations Research

Background:

  • Water scarcity necessitates equitable and effective resource planning.
  • Uncertainty in water availability complicates traditional planning methods.
  • Conflicting demands among regions and departments exacerbate water stress.

Purpose of the Study:

  • To propose an equitable and effective water resource planning framework under uncertainty.
  • To balance reliability and optimality in water allocation.
  • To address competing demands within water-stressed watersheds.

Main Methods:

  • Utilized robust optimization with ellipsoidal uncertainty sets for viable solutions.
  • Developed an equitable initial water allocation model using Gini coefficient.
  • Applied cooperative game theory for effective water re-allocation under benefit uncertainty.

Main Results:

  • Achieved a 79.20% increase in reliability.
  • Reported an 11.44% increase in objective values.
  • Observed decreases in surface water (2.76%) and groundwater (15.17%) usage.

Conclusions:

  • Robust policies enable adaptive optimal decision-making under uncertainty.
  • The proposed framework achieves high reliability at a low cost.
  • Effective water management requires balancing equity, efficiency, and reliability.