| Water resources allocation in hierarchical canal systems via two\|tier particle swarm optimization |
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| DOI：10.7606/j.issn.1000-7601.2025.04.20 |
| Key Words: two\|tier particle swarm optimization algorithm water distribution in canal system multistage canal system decomposition and coordination model optimal allocation |
| Author Name | Affiliation | | GAO Yuan | College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China
Key Laboratory of Cold and Arid Regions Eco\|Hydraulic Engineering of Xinjiang Production & Construction Corps, Shihezi, Xinjiang 832000, China | | CHEN Fulong | College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China
Key Laboratory of Cold and Arid Regions Eco\|Hydraulic Engineering of Xinjiang Production & Construction Corps, Shihezi, Xinjiang 832000, China | | HE Chaofei | College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China
Key Laboratory of Cold and Arid Regions Eco\|Hydraulic Engineering of Xinjiang Production & Construction Corps, Shihezi, Xinjiang 832000, China | | SHAO Hejing | College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China
Key Laboratory of Cold and Arid Regions Eco\|Hydraulic Engineering of Xinjiang Production & Construction Corps, Shihezi, Xinjiang 832000, China | | ZHOU Lei | College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China
Key Laboratory of Cold and Arid Regions Eco\|Hydraulic Engineering of Xinjiang Production & Construction Corps, Shihezi, Xinjiang 832000, China |
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| Abstract: |
| Efficient scheduling of water resources in multilevel canal systems is critical for the optimal utilization of water in irrigation districts. Taking the Xiaohaizi Irrigation District as a case study, using the grouping of lateral canal for alternate irrigation and flow distribution of main canal, based on the idea of system coordination decomposition, a two\|tier particle swarm optimization\|based water distribution coupling model was developed and solved to minimize water distribution time and leakage losses, while accounting for rotational scheduling and flow constraints. The results demonstrated that the two\|tier particle swarm optimization algorithm effectively coordinated multiple subordinate functions while ensuring strong convergence of the main objective. Through model optimization, an efficient water distribution scheme for a multi\|stage canal system was proposed, significantly reducing water transport time and leakage losses. The entire irrigation cycle was shortened from the actual 126 days during the summer irrigation in 2022 to 92 days, and the effective utilization coefficient of irrigation water was increased by 9%. This study provides a practical solution for water distribution in the Xiaohaizi Irrigation District and offers both theoretical support and practical guidance for the sustainable management of water resources in irrigation areas. |
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