Yu et al. (2026) A Multidimensional Critical Regulation Approach to Water Resources Optimization

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Water Resources Research
• Year: 2026
• Date: 2026-09-01
• Authors: Huanghao Yu, Binquan Li, Yong Zhao, Qingming Wang, 任泽岭, Kuang Li, Zhongmin Liang
• DOI: 10.1029/2025wr043144

Research Groups

• Institute of Water Resources and Hydropower Research (IWHR)
• State Key Laboratory of Hydroscience and Engineering (SKLHSE)

Short Summary

This study develops an integrated prediction-simulation-optimization framework to optimize water allocation in the Yellow River Basin, incorporating multidimensional water-system order into the optimization objective. The improved model reduces expected and worst-case water shortages under uncertainty.

Objective

• To develop a coordinated water allocation framework that incorporates multidimensional water-system order as an explicit optimization objective

Study Configuration

• Spatial Scale: Prefecture-level cities in the Yellow River Basin (62 cities)
• Temporal Scale: 2023-2030

Methodology and Data

• Models used:
  • Machine learning for predicting water availability
  • PLUS model for simulating land-use change
  • Support vector machine for predicting sectoral water use
  • NSGA-II with entropy-weighted TOPSIS for optimization
• Data sources:
  • Satellite data (e.g., Landsat, MODIS)
  • Observation data (e.g., river discharge, precipitation)
  • Reanalysis data (e.g., ERA5)

Main Results

• The improved model reduces expected and worst-case water shortages under uncertainty by incorporating total entropy-increase violation as a fourth objective.
• Sectoral water use was estimated with an accuracy of 98% using the quota method.
• Land-use simulation yielded an average Kappa coefficient of 0.82, indicating good agreement between simulated and observed land-use patterns.

Contributions

This study contributes to existing literature by incorporating multidimensional water-system order into the optimization objective, providing decision support for coordinated water allocation under deterministic and uncertain conditions.

Funding

• National Key Research and Development Program of China (2021YFC3100300)
• National Natural Science Foundation of China (52109223)

Citation

@article{Yu2026Multidimensional,
  author = {Yu, Huanghao and Li, Binquan and Zhao, Yong and Wang, Qingming and 任泽岭 and Li, Kuang and Liang, Zhongmin},
  title = {A Multidimensional Critical Regulation Approach to Water Resources Optimization},
  journal = {Water Resources Research},
  year = {2026},
  doi = {10.1029/2025wr043144},
  url = {https://doi.org/10.1029/2025wr043144}
}