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Improved volume balance using upstream flow depth for advance time estimation

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  • Lalehzari, Reza
  • Boroomand Nasab, Saeed

Abstract

Modification of classical volume balance models is one of the effective strategies to improving design of surface irrigation and optimal usage of water resources in agricultural section. In this paper, a modified volume balance model is developed to predict the advance curve in surface irrigation based on the variable actual depth at the upstream end of furrow. The simulations of the suggested structure are generated through a combination of different values of the furrow irrigation variables (inflow discharge, length of furrow, and infiltration parameters), to compare between different models and measured data. The results show that the modified volume balance is more accurate than previous equations by model efficiency of 0.94, 0.98, and 0.97 for furrow length of 60, 80, and 100m, respectively. Sensitivity analysis is made by changing only one input parameter including discharge, field slope, roughness coefficient and infiltration parameters at a time while keeping all others fixed. Furthermore, the inflow rate can have a considerable impact on the model estimations. Nevertheless, the developed model is more sensitive to decreasing inflow discharge amount than to increasing it.

Suggested Citation

  • Lalehzari, Reza & Boroomand Nasab, Saeed, 2017. "Improved volume balance using upstream flow depth for advance time estimation," Agricultural Water Management, Elsevier, vol. 186(C), pages 120-126.
    • Handle: RePEc:eee:agiwat:v:186:y:2017:i:c:p:120-126
    DOI: 10.1016/j.agwat.2017.03.005
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    References listed on IDEAS

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    1. Maheshwari, B. L., 1992. "Effects of recession criteria on prediction of recession times in border irrigation models," Agricultural Water Management, Elsevier, vol. 21(3), pages 167-176, August.
    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.
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    Cited by:

    1. 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).
    2. 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.
    3. Lalehzari, Reza & Kerachian, Reza, 2020. "Developing a framework for daily common pool groundwater allocation to demands in agricultural regions," Agricultural Water Management, Elsevier, vol. 241(C).

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    1. 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.

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