IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v38y2024i2d10.1007_s11269-023-03680-0.html
   My bibliography  Save this article

Application of Hydraulic Sensitivity Indicators in Improving Canal Control Capabilities for Irrigation Systems

Author

Listed:
  • Yumiao Fan

    (Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission
    Key Laboratory of Soil and Water Loss Process and Control On the Loess Plateau of Ministry of Water Resources
    Henan Key Laboratory of Ecological Protection and Restoration of Yellow River Basin)

  • Xiaohui Jin

    (Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission
    Key Laboratory of Soil and Water Loss Process and Control On the Loess Plateau of Ministry of Water Resources
    Henan Key Laboratory of Ecological Protection and Restoration of Yellow River Basin)

  • Haorui Chen

    (Institute of Water Resources and Hydropower Research)

  • Yawei Hu

    (Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission
    Key Laboratory of Soil and Water Loss Process and Control On the Loess Plateau of Ministry of Water Resources
    Henan Key Laboratory of Ecological Protection and Restoration of Yellow River Basin)

  • Zhanyi Gao

    (Institute of Water Resources and Hydropower Research)

Abstract

Water management in irrigation systems is crucial for ensuring food and water security. Irrigation canals must be appropriately managed for efficient utilization of agricultural water resources. Ensuring timely, sufficient, safe, and effective water delivery poses challenges attributed to the operational and regulatory complexities associated with irrigation canals. Sensitivity analysis was used to analyze the canal response behavior after hydraulic regulation or external disturbance, supporting the decision to regulate the canal. Herein, two hydraulic sensitivity indicators, offtake discharge sensitivity and water level sensitivity, were selected based on the main concerns in canal operation. The influence of different hydraulic elements on the sensitivity indicators was analyzed, and the fitting formulas for the hydraulic sensitivity indicators were derived. Based on the analysis results, measures such as increasing the water level before the offtake, reducing the elevation difference between the diversion and parent canal, and using the arc-bottom trapezoidal cross-section can be used by canal managers to reduce canal sensitivity. The results of this study can provide theoretical support for improving the rationality of canal regulation and the service level of irrigation projects.

Suggested Citation

  • Yumiao Fan & Xiaohui Jin & Haorui Chen & Yawei Hu & Zhanyi Gao, 2024. "Application of Hydraulic Sensitivity Indicators in Improving Canal Control Capabilities for Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(2), pages 463-479, January.
  • Handle: RePEc:spr:waterr:v:38:y:2024:i:2:d:10.1007_s11269-023-03680-0
    DOI: 10.1007/s11269-023-03680-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-023-03680-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11269-023-03680-0?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. Playan, Enrique & Mateos, Luciano, 2006. "Modernization and optimization of irrigation systems to increase water productivity," Agricultural Water Management, Elsevier, vol. 80(1-3), pages 100-116, February.
    2. 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).
    3. Aly K. Salem & Yehya E. Imam & Ashraf H. Ghanem & Abdallah S. Bazaraa, 2022. "Genetic Algorithm Based Model for Optimal Selection of Open Channel Design Parameters," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5867-5896, December.
    4. Seyed Mehdi Seyed Hoshiyar & Nader Pirmoradian & Afshin Ashrafzadeh & Atefeh Parvaresh Rizi, 2021. "Performance Assessment of a Water Delivery Canal to Improve Agricultural Water Distribution," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2487-2501, June.
    Full references (including those not matched with items on IDEAS)

    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. 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. T. Fowe & I. Nouiri & B. Ibrahim & H. Karambiri & J. Paturel, 2015. "OPTIWAM: An Intelligent Tool for Optimizing Irrigation Water Management in Coupled Reservoir–Groundwater Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3841-3861, August.
    3. Jackson, T.M. & Hanjra, Munir A. & Khan, S. & Hafeez, M.M., 2011. "Building a climate resilient farm: A risk based approach for understanding water, energy and emissions in irrigated agriculture," Agricultural Systems, Elsevier, vol. 104(9), pages 729-745.
    4. Kundu, M. & Sarkar, S., 2009. "Growth and evapotranspiration pattern of rajmash (Phaseolus vulgaris L.) under varying irrigation schedules and phosphate levels in a hot sub-humid climate," Agricultural Water Management, Elsevier, vol. 96(8), pages 1268-1274, August.
    5. Chen, Dan & Webber, Michael & Chen, Jing & Luo, Zhaohui, 2011. "Emergy evaluation perspectives of an irrigation improvement project proposal in China," Ecological Economics, Elsevier, vol. 70(11), pages 2154-2162, September.
    6. Imran Ali Lakhiar & Haofang Yan & Chuan Zhang & Guoqing Wang & Bin He & Beibei Hao & Yujing Han & Biyu Wang & Rongxuan Bao & Tabinda Naz Syed & Junaid Nawaz Chauhdary & Md. Rakibuzzaman, 2024. "A Review of Precision Irrigation Water-Saving Technology under Changing Climate for Enhancing Water Use Efficiency, Crop Yield, and Environmental Footprints," Agriculture, MDPI, vol. 14(7), pages 1-40, July.
    7. Ghahroodi, E. Mokari & Noory, H. & Liaghat, A.M., 2015. "Performance evaluation study and hydrologic and productive analysis of irrigation systems at the Qazvin irrigation network (Iran)," Agricultural Water Management, Elsevier, vol. 148(C), pages 189-195.
    8. Franco-Luesma, Samuel & Álvaro-Fuentes, Jorge & Plaza-Bonilla, Daniel & Arrúe, José Luis & Cantero-Martínez, Carlos & Cavero, José, 2019. "Influence of irrigation time and frequency on greenhouse gas emissions in a solid-set sprinkler-irrigated maize under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 221(C), pages 303-311.
    9. Jiménez-Aguirre, M.T. & Isidoro, D., 2018. "Hydrosaline Balance in and Nitrogen Loads from an irrigation district before and after modernization," Agricultural Water Management, Elsevier, vol. 208(C), pages 163-175.
    10. Mingting Shi & Shenao Ma & Sheng Zhong, 2025. "Temporal and Spatial Evolution Characteristics and Obstacle Factor Analysis of Rural Modernization Development Level in China," Sustainability, MDPI, vol. 17(7), pages 1-23, March.
    11. Hang Xu & Rui Yang & Jianfeng Song, 2021. "Agricultural Water Use Efficiency and Rebound Effect: A Study for China," IJERPH, MDPI, vol. 18(13), pages 1-16, July.
    12. McCartney, Matthew P. & Whiting, L. & Makin, Ian & Lankford, B. A. & Ringler, C., 2019. "Rethinking irrigation modernisation: realising multiple objectives through the integration of fisheries," Papers published in Journals (Open Access), International Water Management Institute, pages 70(9):1201-.
    13. Soto-García, M. & Martínez-Alvarez, V. & García-Bastida, P.A. & Alcon, F. & Martin-Gorriz, B., 2013. "Effect of water scarcity and modernisation on the performance of irrigation districts in south-eastern Spain," Agricultural Water Management, Elsevier, vol. 124(C), pages 11-19.
    14. Tarjuelo, José M. & Rodriguez-Diaz, Juan A. & Abadía, Ricardo & Camacho, Emilio & Rocamora, Carmen & Moreno, Miguel A., 2015. "Efficient water and energy use in irrigation modernization: Lessons from Spanish case studies," Agricultural Water Management, Elsevier, vol. 162(C), pages 67-77.
    15. Alomran, Abdulrasoul Mosa & Louki, Ibrahim Idriss, 2024. "Impact of irrigation systems on water saving and yield of greenhouse and open field cucumber production in Saudi Arabia," Agricultural Water Management, Elsevier, vol. 302(C).
    16. Ren, Hourui & Liu, Bin & Zhang, Zirui & Li, Fuxin & Pan, Ke & Zhou, Zhongli & Xu, Xiaoshuang, 2022. "A water-energy-food-carbon nexus optimization model for sustainable agricultural development in the Yellow River Basin under uncertainty," Applied Energy, Elsevier, vol. 326(C).
    17. Mushtaq, S. & Maraseni, T.N. & Reardon-Smith, K., 2013. "Climate change and water security: Estimating the greenhouse gas costs of achieving water security through investments in modern irrigation technology," Agricultural Systems, Elsevier, vol. 117(C), pages 78-89.
    18. Lecina, S. & Isidoro, D. & Playán, E. & Aragüés, R., 2010. "Irrigation modernization and water conservation in Spain: The case of Riegos del Alto Aragón," Agricultural Water Management, Elsevier, vol. 97(10), pages 1663-1675, October.
    19. Hassani, Yousef & Hashemy Shahdany, Seied Mehdy & Maestre, J.M. & Zahraie, Banafsheh & Ghorbani, Mohammad & Henneberry, Shida Rastegari & Kulshreshtha, Suren N., 2019. "An economic-operational framework for optimum agricultural water distribution in irrigation districts without water marketing," Agricultural Water Management, Elsevier, vol. 221(C), pages 348-361.
    20. Liu Liu & Zezhong Guo & Guanhua Huang & Ruotong Wang, 2019. "Water Productivity Evaluation under Multi-GCM Projections of Climate Change in Oases of the Heihe River Basin, Northwest China," IJERPH, MDPI, vol. 16(10), pages 1-17, May.

    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:spr:waterr:v:38:y:2024:i:2:d:10.1007_s11269-023-03680-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.