IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v260y2022ics0378377421005229.html
   My bibliography  Save this article

Canal delivery and irrigation scheduling optimization based on crop water demand

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377421005229
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2021.107245?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Danni & Li, Sien & Kang, Shaozhong & Du, Taisheng & Guo, Ping & Mao, Xiaomin & Tong, Ling & Hao, Xinmei & Ding, Risheng & Niu, Jun, 2020. "Effect of drip irrigation on wheat evapotranspiration, soil evaporation and transpiration in Northwest China," Agricultural Water Management, Elsevier, vol. 232(C).
    2. Liang, Jiaping & Shi, Wenjuan & He, Zijian & Pang, Linna & Zhang, Yanchao, 2019. "Effects of poly-γ-glutamic acid on water use efficiency, cotton yield, and fiber quality in the sandy soil of southern Xinjiang, China," Agricultural Water Management, Elsevier, vol. 218(C), pages 48-59.
    3. Guangming Yang & Guofang Gong & Qingqing Gui, 2022. "Exploring the Spatial Network Structure of Agricultural Water Use Efficiency in China: A Social Network Perspective," Sustainability, MDPI, vol. 14(5), pages 1-22, February.
    4. Wang, Chunyu & Li, Sien & Wu, Mousong & Zhang, Wenxin & Guo, Zhenyu & Huang, Siyu & Yang, Danni, 2023. "Co-regulation of temperature and moisture in the irrigated agricultural ecosystem productivity," Agricultural Water Management, Elsevier, vol. 275(C).
    5. Guoqiang Zhang & Bo Ming & Dongping Shen & Ruizhi Xie & Peng Hou & Jun Xue & Keru Wang & Shaokun Li, 2021. "Optimizing Grain Yield and Water Use Efficiency Based on the Relationship between Leaf Area Index and Evapotranspiration," Agriculture, MDPI, vol. 11(4), pages 1-14, April.
    6. Firouzabadi, Ali Ghadami & Baghani, Javad & Jovzi, Mehdi & Albaji, Mohammad, 2021. "Effects of wheat row spacing layout and drip tape spacing on yield and water productivity in sandy clay loam soil in a semi-arid region," Agricultural Water Management, Elsevier, vol. 251(C).
    7. Bai, Mengjie & Tao, Qibo & Zhang, Zuxin & Lang, Shuqing & Li, Junhui & Chen, Dali & Wang, Yanrong & Hu, Xiaowen, 2023. "Effect of drip irrigation on seed yield, seed quality and water use efficiency of Hedysarum fruticosum in the arid region of Northwest China," Agricultural Water Management, Elsevier, vol. 278(C).
    8. He, Rui & He, Min & Xu, Haidong & Zhang, Kun & Zhang, Mingcai & Ren, Dan & Li, Zhaohu & Zhou, Yuyi & Duan, Liusheng, 2023. "A novel plant growth regulator brazide improved maize water productivity in the arid region of Northwest China," Agricultural Water Management, Elsevier, vol. 287(C).
    9. Wang, Feng & Xiao, Junfu & Ming, Bo & Xie, Ruizhi & Wang, Keru & Hou, Peng & Liu, Guangzhou & Zhang, Guoqiang & Chen, Jianglu & Liu, Wanmao & Yang, Yunshan & Qin, Anzhen & Li, Shaokun, 2021. "Grain yields and evapotranspiration dynamics of drip-irrigated maize under high plant density across arid to semi-humid climates," Agricultural Water Management, Elsevier, vol. 247(C).
    10. Yongsheng Wang & Xiao Cui & Xinrong Zhang & Qi Wen, 2022. "Exploring the Sustainable Use Strategy of Scarce Water Resources for Rural Revitalization in Yanchi County from Arid Region of Northwest China," IJERPH, MDPI, vol. 19(23), pages 1-13, December.
    11. Wang, Feng & Xie, Ruizhi & Ming, Bo & Wang, Keru & Hou, Peng & Chen, Jianglu & Liu, Guangzhou & Zhang, Guoqiang & Xue, Jun & Li, Shaokun, 2021. "Dry matter accumulation after silking and kernel weight are the key factors for increasing maize yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 254(C).
    12. Quan, Hao & Ding, Dianyuan & Wu, Lihong & Qiao, Ruonan & Dong, Qin'ge & Zhang, Tibin & Feng, Hao & Wu, Lianhai & Siddique, Kadambot H.M., 2022. "Future climate change impacts on mulched maize production in an arid irrigation area," Agricultural Water Management, Elsevier, vol. 266(C).
    13. Kang, Jian & Hao, Xinmei & Zhou, Huiping & Ding, Risheng, 2021. "An integrated strategy for improving water use efficiency by understanding physiological mechanisms of crops responding to water deficit: Present and prospect," Agricultural Water Management, Elsevier, vol. 255(C).
    14. Cao, Zhaodan & Zhu, Tingju & Cai, Ximing, 2023. "Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia," Agricultural Water Management, Elsevier, vol. 277(C).
    15. Ren, Dongyang & Xu, Xu & Engel, Bernard & Huang, Quanzhong & Xiong, Yunwu & Huo, Zailin & Huang, Guanhua, 2021. "A comprehensive analysis of water productivity in natural vegetation and various crops coexistent agro-ecosystems," Agricultural Water Management, Elsevier, vol. 243(C).
    16. Wu, Zhangsheng & Li, Yue & Wang, Rong & Xu, Xu & Ren, Dongyang & Huang, Quanzhong & Xiong, Yunwu & Huang, Guanhua, 2023. "Evaluation of irrigation water saving and salinity control practices of maize and sunflower in the upper Yellow River basin with an agro-hydrological model based method," Agricultural Water Management, Elsevier, vol. 278(C).
    17. Zhang, Shulin & Su, Xiaoling & Singh, Vijay P & Ayantobo, Olusola Olaitan & Xie, Juan, 2018. "Logarithmic Mean Divisia Index (LMDI) decomposition analysis of changes in agricultural water use: a case study of the middle reaches of the Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 208(C), pages 422-430.
    18. El-Saied E. Metwaly & Hatim M. Al-Yasi & Esmat F. Ali & Hamada A. Farouk & Saad Farouk, 2022. "Deteriorating Harmful Effects of Drought in Cucumber by Spraying Glycinebetaine," Agriculture, MDPI, vol. 12(12), pages 1-16, December.
    19. Wang, Linlin & Li, Qiang & Coulter, Jeffrey A. & Xie, Junhong & Luo, Zhuzhu & Zhang, Renzhi & Deng, Xiping & Li, Linglin, 2020. "Winter wheat yield and water use efficiency response to organic fertilization in northern China: A meta-analysis," Agricultural Water Management, Elsevier, vol. 229(C).
    20. Shrestha, N.K. & Shukla, S., 2014. "Basal crop coefficients for vine and erect crops with plastic mulch in a sub-tropical region," Agricultural Water Management, Elsevier, vol. 143(C), pages 29-37.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:260:y:2022:i:c:s0378377421005229. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.