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Inflow rate and border irrigation performance

Author

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  • Morris, Michael R.
  • Hussain, Amjed
  • Gillies, Malcolm H.
  • O’Halloran, Nicholas J.

Abstract

Modernisation of regional water delivery infrastructure can provide irrigators using border irrigation systems with the option to apply water to border irrigation bays at much higher inflow rates. Substantial improvements in irrigation performance have been claimed by proponents of higher bay inflow rates, leading to large investments in farm infrastructure. In this work, measurements made on bays irrigated at different inflow rates on a range of soil types, crops and irrigation deficits did not demonstrate substantial differences in irrigation performance. Assessments made using a surface irrigation model fitted to the measured irrigations also showed limited differences in feasible irrigation performance related to inflow rates. Extrapolating irrigation performance over feasible inflow rates and durations revealed that equivalent performance could be achieved with inflow rates ranging from 2 to 7Ls−1m−1 provided that appropriate inflow durations were adopted. An analysis involving modest variations of ±5% in inflow rate and ±5mm in the estimate of irrigation requirement produced substantial uncertainties in irrigation performance, suggesting that attempts by irrigators to consistently achieve more precise irrigation performance targets may not be feasible. Improved understanding of the role of uncertainty in border irrigation systems, models and measures of irrigation performance would provide a useful basis for improving border irrigations.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agiwat:v:155:y:2015:i:c:p:76-86
    DOI: 10.1016/j.agwat.2015.03.017
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    References listed on IDEAS

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    1. 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.
    2. Maheshwari, B. L. & McMahon, T. A. & Turner, A. K., 1990. "Sensitivity analysis of parameters of border irrigation models," Agricultural Water Management, Elsevier, vol. 18(4), pages 277-287, November.
    3. Feyen, Jan & Zerihun, Dawit, 1999. "Assessment of the performance of border and furrow irrigation systems and the relationship between performance indicators and system variables," Agricultural Water Management, Elsevier, vol. 40(2-3), pages 353-362, May.
    4. 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.
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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. 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).
    3. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    4. Nie, Wei-Bo & Dong, Shu-Xin & Li, Yi-Bo & Ma, Xiao-Yi, 2021. "Optimization of the border size on the irrigation district scale – Example of the Hetao irrigation district," Agricultural Water Management, Elsevier, vol. 248(C).
    5. Mehri, Akbar & Mohammadi, Amir Soltani & Ebrahimian, Hamed & Boroomandnasab, Saeid, 2023. "Evaluation and optimization of surge and alternate furrow irrigation performance in maize fields using the WinSRFR software," Agricultural Water Management, Elsevier, vol. 276(C).
    6. Chavez, Carlos & Fuentes, Carlos, 2019. "Design and evaluation of surface irrigation systems applying an analytical formula in the irrigation district 085, La Begoña, Mexico," Agricultural Water Management, Elsevier, vol. 221(C), pages 279-285.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. Costabile, Pierfranco & Costanzo, Carmelina & Gangi, Fabiola & De Gaetani, Carlo Iapige & Rossi, Lorenzo & Gandolfi, Claudio & Masseroni, Daniele, 2023. "High-resolution 2D modelling for simulating and improving the management of border irrigation," Agricultural Water Management, Elsevier, vol. 275(C).
    12. Nie, Wei-Bo & Li, Yi-Bo & Zhang, Fan & Ma, Xiao-Yi, 2019. "Optimal discharge for closed-end border irrigation under soil infiltration variability," Agricultural Water Management, Elsevier, vol. 221(C), pages 58-65.
    13. 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.

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