Coordinated regulation of water use-efficiency-cost in a winter wheat-summer maize rotation system and optimization of water allocation strategies
In the North China Plain, the winter wheat-summer maize rotation system faces challenges due to the mismatch between precipitation patterns and crop water demands, leading to groundwater over-exploitation and low irrigation efficiency. This study, based on a 2023–2024 field irrigation experiment and...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | Agricultural Water Management |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377425004329 |
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| author | Li Zhao Congying Han Yinong Li Baozhong Zhang Yulu Zheng Jiabing Cai |
| author_facet | Li Zhao Congying Han Yinong Li Baozhong Zhang Yulu Zheng Jiabing Cai |
| author_sort | Li Zhao |
| collection | DOAJ |
| description | In the North China Plain, the winter wheat-summer maize rotation system faces challenges due to the mismatch between precipitation patterns and crop water demands, leading to groundwater over-exploitation and low irrigation efficiency. This study, based on a 2023–2024 field irrigation experiment and the simulation of dynamic field water cycles, examines how water allocation affects crop growth and yield. A multi-objective nonlinear programming model was developed, incorporating triangular fuzzy numbers, accuracy functions, and credibility constraints, to balance actual yield (AY), irrigation water productivity (IWP), and total cost (TC). Results show that water allocation significantly influences crop yield, and a trade-off exists among yield, irrigation water productivity, and cost. As the credibility level increases, cost tends to stabilize, whereas yield and irrigation water productivity show greater variability. Lower credibility values help improve the overall satisfaction of multiple objectives. The optimized scheme increased crop yield by 4.02 %, improved irrigation water productivity by 5.84 %, reduced costs by 7.17 %, enhanced total water productivity by 3.17 %, and cut annual irrigation volume by 15.69 %. |
| format | Article |
| id | doaj-art-c085f23d091f45a4a575cfa6aea9a3e1 |
| institution | Kabale University |
| issn | 1873-2283 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Agricultural Water Management |
| spelling | doaj-art-c085f23d091f45a4a575cfa6aea9a3e12025-08-20T03:41:14ZengElsevierAgricultural Water Management1873-22832025-09-0131810971810.1016/j.agwat.2025.109718Coordinated regulation of water use-efficiency-cost in a winter wheat-summer maize rotation system and optimization of water allocation strategiesLi Zhao0Congying Han1Yinong Li2Baozhong Zhang3Yulu Zheng4Jiabing Cai5State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Key Laboratory of River Basin Digital Twinning of Ministry of Water Resources, Beijing, 100038, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Key Laboratory of River Basin Digital Twinning of Ministry of Water Resources, Beijing, 100038, China; Field Scientific Observation and Research Station for Agricultural Irrigation in Ningxia Yellow River Diversion Irrigation Area, Ministry of Water Resources, Yinchuan 750021, China; Corresponding author at: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Key Laboratory of River Basin Digital Twinning of Ministry of Water Resources, Beijing, 100038, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Key Laboratory of River Basin Digital Twinning of Ministry of Water Resources, Beijing, 100038, China; Field Scientific Observation and Research Station for Agricultural Irrigation in Ningxia Yellow River Diversion Irrigation Area, Ministry of Water Resources, Yinchuan 750021, ChinaCollege of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443000, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; Key Laboratory of River Basin Digital Twinning of Ministry of Water Resources, Beijing, 100038, ChinaIn the North China Plain, the winter wheat-summer maize rotation system faces challenges due to the mismatch between precipitation patterns and crop water demands, leading to groundwater over-exploitation and low irrigation efficiency. This study, based on a 2023–2024 field irrigation experiment and the simulation of dynamic field water cycles, examines how water allocation affects crop growth and yield. A multi-objective nonlinear programming model was developed, incorporating triangular fuzzy numbers, accuracy functions, and credibility constraints, to balance actual yield (AY), irrigation water productivity (IWP), and total cost (TC). Results show that water allocation significantly influences crop yield, and a trade-off exists among yield, irrigation water productivity, and cost. As the credibility level increases, cost tends to stabilize, whereas yield and irrigation water productivity show greater variability. Lower credibility values help improve the overall satisfaction of multiple objectives. The optimized scheme increased crop yield by 4.02 %, improved irrigation water productivity by 5.84 %, reduced costs by 7.17 %, enhanced total water productivity by 3.17 %, and cut annual irrigation volume by 15.69 %.http://www.sciencedirect.com/science/article/pii/S0378377425004329Winter wheat-summer maize rotationMulti-objective optimization modelWater managementDynamic water cycle processesUncertainty |
| spellingShingle | Li Zhao Congying Han Yinong Li Baozhong Zhang Yulu Zheng Jiabing Cai Coordinated regulation of water use-efficiency-cost in a winter wheat-summer maize rotation system and optimization of water allocation strategies Agricultural Water Management Winter wheat-summer maize rotation Multi-objective optimization model Water management Dynamic water cycle processes Uncertainty |
| title | Coordinated regulation of water use-efficiency-cost in a winter wheat-summer maize rotation system and optimization of water allocation strategies |
| title_full | Coordinated regulation of water use-efficiency-cost in a winter wheat-summer maize rotation system and optimization of water allocation strategies |
| title_fullStr | Coordinated regulation of water use-efficiency-cost in a winter wheat-summer maize rotation system and optimization of water allocation strategies |
| title_full_unstemmed | Coordinated regulation of water use-efficiency-cost in a winter wheat-summer maize rotation system and optimization of water allocation strategies |
| title_short | Coordinated regulation of water use-efficiency-cost in a winter wheat-summer maize rotation system and optimization of water allocation strategies |
| title_sort | coordinated regulation of water use efficiency cost in a winter wheat summer maize rotation system and optimization of water allocation strategies |
| topic | Winter wheat-summer maize rotation Multi-objective optimization model Water management Dynamic water cycle processes Uncertainty |
| url | http://www.sciencedirect.com/science/article/pii/S0378377425004329 |
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