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Optimization of furrow irrigation performance of sugarcane fields based on inflow and geometric parameters using WinSRFR in Southwest of Iran

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  • Mazarei, Reza
  • Mohammadi, Amir Soltani
  • Naseri, Abd Ali
  • Ebrahimian, Hamed
  • Izadpanah, Zahra

Abstract

Accurate design, suitable management and optimization of irrigation design parameters play an important role in increasing the performance of furrow irrigation. The main objective of this study was to optimize the performance of furrow irrigation using WinSRFR in the fields of Salman Farsi Agro Industry sugarcane, located in the southwest of Iran. For this purpose, field experiments were conducted under nine blocked-ended furrows with the length of 250 m, the top width of 1.83 m and slope of 0.04 % and in three inflow treatments (1.0, 1.5 and 2.0 L/s) with three repetitions. The WinSRFR software was employed to optimize the combination of irrigation parameters such as inflow rate, cut-off time and field geometry. Objective function (OF) including application efficiency, distribution uniformity and deep percolation was also employed to optimize the performance. The results showed that using 1.0 L/s inflow rate could increase OF by 35.99 % which was the best performance compared to 1.5 and 2.0 l/s. Changing furrow length from 250 m to 200 m showed that OF value increased by 39.8.% ; however, changing it to 300 m, OF decreased by 7.7 %. In addition, changing slope from 0.04 to 0.03 % decreased OF by 0.9.%, while changing it to 0.05 % OF was improved by 1 %. On the other hand, changing the inflow and cut-off time, field length and combinations of them led to the increased OF by 25, 8.39 and 31 %, respectively. Finally, to obtain the maximum performance in sugarcane fields, inflow rate of 3 L/s and cut-off time of 379.5 min were suggested.

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  • 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).
    • Handle: RePEc:eee:agiwat:v:228:y:2020:i:c:s0378377419311151
    DOI: 10.1016/j.agwat.2019.105899
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    3. 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).
    4. Alavi, Seyed Abdollah & Naseri, Abd Ali & Ritzema, Henk & van Dam, Jos & Hellegers, Petra, 2022. "A combined model approach to optimize surface irrigation practice: SWAP and WinSRFR," Agricultural Water Management, Elsevier, vol. 271(C).
    5. 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).
    6. 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).
    7. 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).
    8. 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).

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