Bu et al. (2026) A Water Resources Scheduling Model for Complex Water Networks Considering Multi-Objective Coordination

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

Identification

• Journal: Water
• Year: 2026
• Date: 2026-01-05
• Authors: Hui Bu, Chun Pan, Chunyang Liu, Yu Zhu, Zhuowei Yin, Zhengya Liu, Yu Zhang
• DOI: 10.3390/w18010124

Research Groups

[Information not provided in the text.]

Short Summary

This study proposes a multi-objective coordinated water resources scheduling model for complex water networks, exemplified by the Taihu Lake Basin. The model effectively balances flood control, water supply, and ecological protection, demonstrating superior performance with an enhanced discharge scheme that significantly reduces flood levels and improves drainage efficiency.

Objective

• To propose and validate a multi-objective coordinated water resources scheduling model for complex water networks to address contradictions among flood control, water supply, and ecological protection.

Study Configuration

• Spatial Scale: Taihu Lake Basin
• Temporal Scale: Simulation of a 1991-Type 100-Year Return Period Rainfall scenario, with dynamic scheduling periods and flood season durations (e.g., 32 to 43 days for Jiepai Hub drainage).

Methodology and Data

• Models used: Multi-objective coordinated water resources scheduling model, multi-objective optimization indicator system (12 indicators), dynamic variable weighting strategy, basin water quantity-quality model, joint scheduling decision model, Particle Swarm Optimization (PSO) algorithm.
• Data sources: Scenario-based (1991-Type 100-Year Return Period Rainfall).

Main Results

• The enhanced discharge scheme with the lowest drainage threshold achieved optimal performance, with an objective function value of 98.8.
• Compared to the basic scheme, the optimal enhanced scheme extended the flood season drainage days of the Jiepai Hub from 32 to 43 days.
• It increased the average flood season discharge of the Xinmeng River to the Yangtze River by 9.5%.
• Maximum water levels at Wangmuguan, Fangqian, Jintan, and Changzhou (III) stations were reduced by 5 cm, 5 cm, 4 cm, and 4 cm, respectively.

Contributions

• Proposes a novel multi-objective coordinated water resources scheduling model specifically designed for complex water networks.
• Constructs a comprehensive multi-objective optimization indicator system covering flood control, water supply, and aquatic ecological environment.
• Introduces a dynamic variable weighting strategy to convert multi-objective problems into single-objective ones based on scheduling periods.
• Establishes a combined solving mode integrating a basin water quantity-quality model and a joint scheduling decision model, optimized by PSO.
• Provides theoretical and technical support for overcoming technical bottlenecks related to conflicting multi-objectives and complex water system structures in water resource management.

Funding

[Information not provided in the text.]

Citation

@article{Bu2026Water,
  author = {Bu, Hui and Pan, Chun and Liu, Chunyang and Zhu, Yu and Yin, Zhuowei and Liu, Zhengya and Zhang, Yu},
  title = {A Water Resources Scheduling Model for Complex Water Networks Considering Multi-Objective Coordination},
  journal = {Water},
  year = {2026},
  doi = {10.3390/w18010124},
  url = {https://doi.org/10.3390/w18010124}
}