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Operational loss estimation in irrigation canals by integrating hydraulic simulation and crop growth modeling

Author

Listed:
  • Karimi Avargani, Habib
  • Hashemy Shahdany, S. Mehdy
  • Hashemi Garmdareh, S. Ebrahim
  • Liaghat, Abdolmajid
  • Guan, Guanghua
  • Behzadi, Farhad
  • Milan, Sami Ghordoyee
  • Berndtsson, Ronny
Abstract
Identifying operational losses in irrigation canals can be difficult due to inaccurate simplification in designing and operating national guidelines. However, this study aims to provide a practical solution to this problem by identifying operational losses, which are the primary cause of off-farm irrigation water losses. The method involves simulating the daily delivered water to individual Irrigation Units (IUs) through off-take structures using hydraulic simulation. The daily agricultural water demand for individual IUs is then calculated using a crop growth model and irrigation system efficiency. This approach offers an effective way to accurately identify operational losses in agricultural water distribution systems. The Roodasht irrigation district in central Iran was used test proposed method. The water distribution simulation was conducted using an open-source Irrigation Conveyance System Simulation (ICSS) in three separate scenarios, including 29, 22, and 55 days, and each showed a typical operation based on history. The IUs’ agricultural water demand, at each off-take location, was calculated by the Aquacrop estimation including the existing information of the on-farm water efficiency depending on irrigation system. According to the study, the amount of water lost daily varied between 60% and 82%, 50–70%, and 44–61% in IUs that used drip, sprinkler, and surface water application systems, respectively, during normal operational scenarios. In situations where water was scarce, the water loss range was 4–87%, 68–80%, and 60–70%, respectively.The results of this study confirmed that losses in the conveyance and distribution systems varied according to the distance from the source and were often higher than the recommended guidelines for irrigation system design and operation (such as the 10–20% suggested in Iranian guidelines). The proposed methodology can be used to improve estimation of actual water losses for irrigation districts with similar operation systems and climatic conditions.

Suggested Citation

  • Karimi Avargani, Habib & Hashemy Shahdany, S. Mehdy & Hashemi Garmdareh, S. Ebrahim & Liaghat, Abdolmajid & Guan, Guanghua & Behzadi, Farhad & Milan, Sami Ghordoyee & Berndtsson, Ronny, 2023. "Operational loss estimation in irrigation canals by integrating hydraulic simulation and crop growth modeling," Agricultural Water Management, Elsevier, vol. 288(C).
    • Handle: RePEc:eee:agiwat:v:288:y:2023:i:c:s0378377423003438
    DOI: 10.1016/j.agwat.2023.108478
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    References listed on IDEAS

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    1. Pereira, Luis S. & Paredes, Paula & Rodrigues, Gonçalo C. & Neves, Manuela, 2015. "Modeling malt barley water use and evapotranspiration partitioning in two contrasting rainfall years. Assessing AquaCrop and SIMDualKc models," Agricultural Water Management, Elsevier, vol. 159(C), pages 239-254.
    2. Jalil, Atiqurrahman & Akhtar, Fazlullah & Awan, Usman Khalid, 2020. "Evaluation of the AquaCrop model for winter wheat under different irrigation optimization strategies at the downstream Kabul River Basin of Afghanistan," Agricultural Water Management, Elsevier, vol. 240(C).
    3. S. Hashemy Shahdany & J. Maestre & P. van Overloop, 2015. "Equitable Water Distribution in Main Irrigation Canals with Constrained Water Supply," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3315-3328, July.
    4. S. M. Hashemy Shahdany & A. R. Firoozfar, 2017. "Providing a Reliable Water Level Control in Main Canals under Significant Inflow Fluctuations at Drought Periods within Canal Automation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3343-3354, September.
    5. Monem, M. J. & Schuurmans, W., 1992. "Performance of canal delivery strategies and control systems," IWMI Books, Reports H022428, International Water Management Institute.
    6. 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.
    7. Kamrani, Kazem & Roozbahani, Abbas & Hashemy Shahdany, Seied Mehdy, 2020. "Using Bayesian networks to evaluate how agricultural water distribution systems handle the water-food-energy nexus," Agricultural Water Management, Elsevier, vol. 239(C).
    8. Barkhordari, Soroush & Hashemy Shahdany, Seied Mehdy, 2021. "Developing a smart operating system for fairly distribution of irrigation water, based on social, economic, and environmental considerations," Agricultural Water Management, Elsevier, vol. 250(C).
    9. Morteza Babaei & Abbas Roozbahani & S. Mehdy Hashemy Shahdany, 2018. "Risk Assessment of Agricultural Water Conveyance and Delivery Systems by Fuzzy Fault Tree Analysis Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 4079-4101, September.
    10. Kaghazchi, Afsaneh & Hashemy Shahdany, S. Mehdy & Roozbahani, Abbas, 2021. "Simulation and evaluation of agricultural water distribution and delivery systems with a Hybrid Bayesian network model," Agricultural Water Management, Elsevier, vol. 245(C).
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