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Canal delivery and irrigation scheduling optimization based on crop water demand

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  • Zhang, Fuqiang
  • He, Chao
  • Yaqiong, Fan
  • Hao, Xinmei
  • Kang, Shaozhong

Abstract

Conventionally, canal water is distributed empirically regardless of soil water status at the time in irrigation districts of China, and the mismatch between the timing of water delivery and crop water demand often leads to the reduction in total production and irrigation water efficiency. In the study, an optimization model with minimizing both the difference between the time of water delivery and water demand, and fluctuation of discharge of the main canal as objectives was developefd for a two-stage canal system. The genetic algorithm was used to solve the problem. The irrigation time to meet the water demand in the optimization model was determined using a field water balance model for the command area of secondary canals. The optimization model was applied to the Xixun irrigation district located at Zhangye, Gansu Province, Northwest China. The performance of the model was evaluated by comparing crop water consumption and water productivity (WP) between optimized with conventional scheduling. The results showed that the optimized scheduling could achieve greater total production, less water loss, higher water use efficiency (WUE) and irrigation water productivity (IWP) under both full and reduced capacity conditions. Specifically, the optimized scheduling led to 20% greater total production, 33% less water loss, and more than 20% larger IWP than the conventional scheduling under both conditions. The optimization model could be a valuable tool in improving WP over the command area by adjusting water delivery and irrigation scheduling for irrigation districts.

Suggested Citation

  • Zhang, Fuqiang & He, Chao & Yaqiong, Fan & Hao, Xinmei & Kang, Shaozhong, 2022. "Canal delivery and irrigation scheduling optimization based on crop water demand," Agricultural Water Management, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:agiwat:v:260:y:2022:i:c:s0378377421005229
    DOI: 10.1016/j.agwat.2021.107245
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    References listed on IDEAS

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    1. Deng, Xi-Ping & Shan, Lun & Zhang, Heping & Turner, Neil C., 2006. "Improving agricultural water use efficiency in arid and semiarid areas of China," Agricultural Water Management, Elsevier, vol. 80(1-3), pages 23-40, February.
    2. Wang, Daobo & Li, Fusheng & Nong, Mengling, 2017. "Response of yield and water use efficiency to different irrigation levels at different growth stages of Kenaf and crop water production function," Agricultural Water Management, Elsevier, vol. 179(C), pages 177-183.
    3. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
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    Cited by:

    1. Wu, Shiang-Jen & Yang, Han-Yuan & Chang, Che-Hao & Hsu, Chih-Tsung, 2023. "Modeling GA-derived optimization analysis for canal-based irrigation water allocation under variations in runoff-related and irrigation-related factors," Agricultural Water Management, Elsevier, vol. 290(C).
    2. Murat Kilic & Emrah Özçakal, 2024. "Optimization of Irrigation Programming for Different Water Allocation Strategies at Network Level: Method and Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(15), pages 5991-6005, December.

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