Zeng et al. (2025) NSGA-II and Entropy-Weighted TOPSIS for Multi-Objective Joint Operation of the Jingou River Irrigation Reservoir System

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

Identification

• Journal: Water
• Year: 2025
• Date: 2025-12-22
• Authors: Kai Zeng, NingNing Liu, Yu Dong, Mingjiang Deng, Zhenhua Wang
• DOI: 10.3390/w18010036

Research Groups

Not specified in the provided text.

Short Summary

This study develops and evaluates joint-operation schemes for the Jingou River-Hongshan Reservoir irrigation system to improve coordination among irrigation water supply, ecological baseflow maintenance, and reservoir safety, finding that top-ranked schemes deliver well-balanced performance across objectives with a preferred compromise scheme resulting in approximately 39% annual irrigation shortages and 57% satisfaction of requirements.

Objective

• To develop and evaluate joint-operation schemes for the Jingou River-Hongshan Reservoir irrigation system to improve coordination among irrigation water supply, ecological baseflow maintenance, and reservoir safety.
• To explore trade-offs among three objectives: irrigation shortages, system reliability, and non-beneficial reservoir releases (spill losses and end-of-year storage deviation).

Study Configuration

• Spatial Scale: Jingou River-Hongshan Reservoir irrigation system in Xinjiang, northwestern China.
• Temporal Scale: Monthly operation model.

Methodology and Data

• Models used: A monthly reservoir-canal-irrigation operation model; Multi-objective optimization; Entropy-weighted TOPSIS framework for ranking non-dominated schemes.
• Data sources: Not explicitly detailed, but implied by model inputs like irrigation demands, ecological flow constraints, and engineering limits.

Main Results

• Top-ranked schemes from the optimization-ranking framework deliver comparable and relatively well-balanced performance across the objectives of shortages, reliability, and non-beneficial releases.
• Under the preferred compromise scheme:
  • Annual irrigation shortages amount to approximately 39% of total demand.
  • The mean satisfaction level of irrigation and ecological requirements reaches roughly 57%.
  • The combined index of spill losses and end-of-year storage deviation remains low.
• Schemes that prioritize extreme shortage reduction or reliability enhancement tend to increase spill losses, compromise storage security, or both, thereby degrading overall system performance.

Contributions

• Proposes an optimization-ranking framework that offers a transparent basis for identifying robust operating strategies reflecting local management priorities.
• The developed framework is transferable to other reservoir-supported irrigation systems in arid regions.

Funding

Not specified in the provided text.

Citation

@article{Zeng2025NSGAII,
  author = {Zeng, Kai and Liu, NingNing and Dong, Yu and Deng, Mingjiang and Wang, Zhenhua},
  title = {NSGA-II and Entropy-Weighted TOPSIS for Multi-Objective Joint Operation of the Jingou River Irrigation Reservoir System},
  journal = {Water},
  year = {2025},
  doi = {10.3390/w18010036},
  url = {https://doi.org/10.3390/w18010036}
}