Wang et al. (2026) Multi-Scenario Optimal Allocation of Agricultural Water Resources in a Canal–Well Irrigation District Based on Irrigation Priority

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Identification

• Journal: Water
• Year: 2026
• Date: 2026-08-27
• Authors: Yinghao Wang, Liang Peng, Lei Xie, Tao Jiang
• DOI: 10.3390/w18172110

Research Groups

Not specified in the provided text.

Short Summary

The study develops a multi-objective optimization model for water allocation in the Jiamu Town Irrigation District to minimize groundwater extraction and irrigation deficits. The results demonstrate that the optimized scheme significantly improves surface water efficiency and reduces groundwater reliance while maintaining high crop satisfaction rates.

Objective

• To construct a rational water allocation model that minimizes total groundwater extraction and weighted irrigation water deficits, prioritizing high-priority crop growth stages to mitigate supply-demand conflicts in an arid irrigation district.

Study Configuration

• Spatial Scale: Jiamu Town Irrigation District, Tailan River Basin, Xinjiang.
• Temporal Scale: Ten-day intervals (based on 2023 data and various hydrological year types).

Methodology and Data

• Models used: Multi-objective optimization model (incorporating priority coefficients for irrigation tasks).
• Data sources: Ten-day runoff sequences, exploitable groundwater volumes, hydrological year types, and crop irrigation priorities.

Main Results

• Surface Water Efficiency: Increased from 73.1% to 81.3% compared to 2023 actual consumption.
• Groundwater Extraction: Reduced by $2.05 \times 10^6\text{ m}^3$ (decreasing from $11.09 \times 10^6\text{ m}^3$ to $9.04 \times 10^6\text{ m}^3$).
• Irrigation Satisfaction: Satisfaction rates exceeded 97% across all hydrological scenarios.
• Deficit Distribution: Water shortages were primarily limited to drip-irrigated pepper and orchards.

Contributions

• The study provides a technical reference for refined water resource management in arid canal–well irrigation districts by demonstrating a method to curb groundwater overexploitation and minimize conflicts among diverse crops and critical growth stages.

Funding

Not specified in the provided text.

Citation

@article{Wang2026MultiScenario,
  author = {Wang, Yinghao and Peng, Liang and Xie, Lei and Jiang, Tao},
  title = {Multi-Scenario Optimal Allocation of Agricultural Water Resources in a Canal–Well Irrigation District Based on Irrigation Priority},
  journal = {Water},
  year = {2026},
  doi = {10.3390/w18172110},
  url = {https://doi.org/10.3390/w18172110}
}