Multiobjective Optimization of Closed-End Border Irrigation Performance Using WinSRFR and Genetic Algorithm (Case Study: Ramshir Irrigation and Drainage Network)

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GAREMOHAMADLOU HAMIDREZA; REZAVERDINEJAD VAHID; LALEZARI REZA; Azad Nasrin

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Journal: Iranian Journal of Soil and Water Research Year:2020 | Volume:51 | Issue:2 Page(s): 427-440

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Title

Multiobjective Optimization of Closed-End Border Irrigation Performance Using WinSRFR and Genetic Algorithm (Case Study: Ramshir Irrigation and Drainage Network)

Author(s)

GAREMOHAMADLOU HAMIDREZA | REZAVERDINEJAD VAHID | LALEZARI REZA | Azad Nasrin | Issue Writer Certificate

Keywords

Application efficiencyQ1

Distribution uniformityQ2

Non-dominated sortingQ1

Deep percolationQ1

Abstract

The main problem in surface irrigation systems is the low irrigation efficiency due to poor management, inaccurate estimation of design parameters and inadequate design. Losses in surface irrigation include deep infiltration and runoff, which is one of the ways to increase the efficiency of border irrigation, using closed-end mode in irrigation systems. This research was conducted to evaluate the effects of geometrical variables (slope and length of border) and flow control (inlet flow rate and cut-off time) on Application efficiency and uniformity of water distribution in closed-end border irrigation system. The length, slope, inflow rate, and cut-off time are considered as the decision-making variables for developing the multi-objective genetic algorithm based on the Non-dominated sorting. For this purpose, three irrigation borders with closed-end system were considered in the Ramshir network. The optimization algorithm for calculating the objective functions involves maximizing the minimum water depth and minimizing the infiltration depth in a modeling loop. The optimization algorithm was linked to WinSRFR 4. 1. 3 software to calculate the objective functions. The results showed that the best combination of inflow rate and the cut-off time for 75 mm of required water depth was 1. 9 lit/s/m and 150 min, respectively, which increased Application efficiency and Distribution uniformity to 79 and 78 percent. Furthermore, the Application efficiency in the closed-end border irrigation system is higher (30% to 50%) than the open end method in different scenarios.

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APA: Copy

GAREMOHAMADLOU, HAMIDREZA, REZAVERDINEJAD, VAHID, LALEZARI, REZA, & Azad, Nasrin. (2020). Multiobjective Optimization of Closed-End Border Irrigation Performance Using WinSRFR and Genetic Algorithm (Case Study: Ramshir Irrigation and Drainage Network). IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 51(2 ), 427-440. SID. https://sid.ir/paper/366804/en

Vancouver: Copy

GAREMOHAMADLOU HAMIDREZA, REZAVERDINEJAD VAHID, LALEZARI REZA, Azad Nasrin. Multiobjective Optimization of Closed-End Border Irrigation Performance Using WinSRFR and Genetic Algorithm (Case Study: Ramshir Irrigation and Drainage Network). IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2020;51(2 ):427-440. Available from: https://sid.ir/paper/366804/en

IEEE: Copy

HAMIDREZA GAREMOHAMADLOU, VAHID REZAVERDINEJAD, REZA LALEZARI, and Nasrin Azad, “Multiobjective Optimization of Closed-End Border Irrigation Performance Using WinSRFR and Genetic Algorithm (Case Study: Ramshir Irrigation and Drainage Network),” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 51, no. 2 , pp. 427–440, 2020, [Online]. Available: https://sid.ir/paper/366804/en

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