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Analysis of surface irrigation systems with WinSRFR--Example application

Author

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  • Bautista, E.
  • Clemmens, A.J.
  • Strelkoff, T.S.
  • Niblack, M.

Abstract

WinSRFR is an integrated software package for analyzing surface irrigation systems. Software functionalities and technical features are described in a companion article. This article documents an example application. The analyzed field is a graded basin (close-ended border) irrigation system. The event analysis tools of WinSRFR are used first to evaluate performance of the irrigation system and estimate its infiltration and hydraulic roughness properties. Performance contours in the Operations Analysis World are then used to optimize irrigation system inflow rate and cutoff time. The adequacy of the existing design is examined with the performance contours provided in the Physical Design World. Hydraulic and practical constraints are considered in finding an optimal operation or design solution. Finally, sensitivity analyses are used to demonstrate the robustness of the solutions.

Suggested Citation

  • Bautista, E. & Clemmens, A.J. & Strelkoff, T.S. & Niblack, M., 2009. "Analysis of surface irrigation systems with WinSRFR--Example application," Agricultural Water Management, Elsevier, vol. 96(7), pages 1162-1169, July.
  • Handle: RePEc:eee:agiwat:v:96:y:2009:i:7:p:1162-1169
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    References listed on IDEAS

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    1. Li, Zhe & Zhang, Juntao, 2001. "Calculation of Field Manning's Roughness Coefficient," Agricultural Water Management, Elsevier, vol. 49(2), pages 153-161, July.
    2. Bautista, E. & Clemmens, A.J. & Strelkoff, T.S. & Schlegel, J., 2009. "Modern analysis of surface irrigation systems with WinSRFR," Agricultural Water Management, Elsevier, vol. 96(7), pages 1146-1154, July.
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    Cited by:

    1. Xu, Jiatun & Cai, Huanjie & Saddique, Qaisar & Wang, Xiaoyun & Li, Liang & Ma, Chenguang & Lu, Yajun, 2019. "Evaluation and optimization of border irrigation in different irrigation seasons based on temporal variation of infiltration and roughness," Agricultural Water Management, Elsevier, vol. 214(C), pages 64-77.
    2. Morris, Michael R. & Hussain, Amjed & Gillies, Malcolm H. & O’Halloran, Nicholas J., 2015. "Inflow rate and border irrigation performance," Agricultural Water Management, Elsevier, vol. 155(C), pages 76-86.
    3. Kaihua Liu & Xiyun Jiao & Weihua Guo & Yunhao An & Mohamed Khaled Salahou, 2020. "Improving border irrigation performance with predesigned varied-discharge," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-12, May.
    4. Pazouki, Ehsan, 2021. "A practical surface irrigation design based on fuzzy logic and meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 256(C).
    5. Pazouki, Ehsan, 2023. "A smart surface irrigation design based on the topographical and geometrical shape characteristics of the land," Agricultural Water Management, Elsevier, vol. 275(C).
    6. Salahou, Mohamed Khaled & Jiao, Xiyun & Lü, Haishen, 2018. "Border irrigation performance with distance-based cut-off," Agricultural Water Management, Elsevier, vol. 201(C), pages 27-37.
    7. Mazarei, Reza & Mohammadi, Amir Soltani & Naseri, Abd Ali & Ebrahimian, Hamed & Izadpanah, Zahra, 2020. "Optimization of furrow irrigation performance of sugarcane fields based on inflow and geometric parameters using WinSRFR in Southwest of Iran," Agricultural Water Management, Elsevier, vol. 228(C).
    8. Mazarei, Reza & Soltani Mohammadi, Amir & Ebrahimian, Hamed & Naseri, Abd Ali, 2021. "Temporal variability of infiltration and roughness coefficients and furrow irrigation performance under different inflow rates," Agricultural Water Management, Elsevier, vol. 245(C).
    9. Fadul, E. & Masih, I. & De Fraiture, C. & Suryadi, F.X., 2020. "Irrigation performance under alternative field designs in a spate irrigation system with large field dimensions," Agricultural Water Management, Elsevier, vol. 231(C).
    10. Mohamed Khaled Salahou & Xiyun Jiao & Haishen Lü & Weihua Guo, 2020. "An improved approach to estimating the infiltration characteristics in surface irrigation systems," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-16, June.
    11. Pazouki, Ehsan, 2021. "A practical surface irrigation system design based on volume balance model and multi-objective evolutionary optimization algorithms," Agricultural Water Management, Elsevier, vol. 248(C).
    12. Akbari, Mahmood & Gheysari, Mahdi & Mostafazadeh-Fard, Behrouz & Shayannejad, Mohammad, 2018. "Surface irrigation simulation-optimization model based on meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 201(C), pages 46-57.

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