Surface irrigation simulation-optimization model based on meta-heuristic algorithms

Akbari, Mahmood; Gheysari, Mahdi; Mostafazadeh‐Fard, B.; Shayannejad, Mohammad

doi:10.1016/j.agwat.2018.01.015

Cited by 43 publications

(25 citation statements)

References 31 publications

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“…The accuracy of the modified model could be evaluated by the coefficient of determination (R 2 ), root mean square error (RMSE) and coefficient of residual mass (CRM) [21] . R 2 varies from zero to one, and the larger it is, the more valuable simulation results are.…”

Section: Discussionmentioning

confidence: 99%

Performance of a zero-inertia model for irrigation with rapidly varied inflow discharges

Liu

Jiao

et al. 2020

International Journal of Agricultural and Biological Engineering

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The zero-inertia model is widely used for simulating surface flow in irrigation systems. This model is accurate when inflow discharge is constant. However, simulation of irrigation systems with rapidly varied inflow discharge is needed due to the development of real time control irrigation technology. Hence, the objective of this study is to validate the zero-inertia model with rapidly varied inflow discharge. For this purpose, twenty-three border irrigation tests at a range of inflow changes on different field slopes and roughness coefficients were conducted. Then, the sensitivity analyses of bed slope, infiltration parameters, and roughness coefficient were examined. The results indicate that the zero-inertia model predictions are in good agreement with field data in both advance/recession times and flow depths. The infiltration parameters were the most sensitive input variable of the zero-inertia model. The input variables have a more considerable impact on the recession phase than the advance phase.

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Section: Discussionmentioning

confidence: 99%

Performance of a zero-inertia model for irrigation with rapidly varied inflow discharges

Liu

Jiao

et al. 2020

International Journal of Agricultural and Biological Engineering

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“…Decision variables for furrow irrigation include flow rate, furrow length and cut-off time (Reyhani et al, 2015;Akbari et al, 2018). Table I.…”

Section: Decision Variablesmentioning

confidence: 99%

“…It may increase due to deep penetration or just runoff or both. Because the researchers in the studies attempt to measure all the efficiency parameters to determine the state of the system (Akbari et al, 2018).…”

Section: Tail Water Ratiomentioning

confidence: 99%

Development of a simulation–optimization model with a multi‐objective framework for automatic design of a furrow irrigation system

Saberi

Siuki

Pourreza‐Bilondi

et al. 2020

Irrigation and Drainage

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The major problem of furrow irrigation systems is their low efficiency resulting from weakness in design and irrigation management. Flow rate, furrow length and cutoff time are the most important furrow irrigation design parameters that affect efficiency and irrigation management. Therefore, in this paper, it is attempted to provide optimal values of these parameters by optimizing them in a simulation-optimization framework. This is a combination of FURDEV (a module of SURDEV) and AMALGAM as a multi-objective optimization algorithm developed in MATLAB. Here, maximizing the application and the water requirement (storage) efficiencies and minimizing the percolation and tail water ratios simultaneously were considered as the objectives. This framework was used for five open-ended furrow irrigations with corn yield and loam soil texture. The results showed that the increase of 0 to 40.5% in the flow rate, from 23.2 to 66.9% during the furrow and 18.9% up to 11.9% at the cutoff time, caused the application efficiency to increase by between 13.8 and 44.9%. Also, the water requirement efficiency increased by 14.2-76.8%, and the tail water ratio decreased significantly. It is shown that this framework plays an effective role in improving irrigation efficiency.

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“…In the last century, Hall and Nathan [8] proposed a dynamic programming model to solve the water allocation of supply, considering dollar benefits, cost, etc. They were followed by other researchers who proposed different intelligent algorithms to solve the optimal configuration problems [9][10][11][12][13][14][15]. However, an intelligent algorithm for the optimal solution of global water distribution is often difficult to achieve due to the complexity and variability of certain factors such as objective function and constraint conditions.…”

Section: Introductionmentioning

confidence: 99%

Study on Unsteady Flow Based on Optimized Water Distribution Model in Irrigation District

Chen

Han

et al. 2020

Sustainability

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The canal delivery system is the main infrastructure of agricultural irrigation. The efficiency of water use in agriculture can be achieved by mastering the dynamic process of unsteady flow in the channel. In this study, an unsteady flow model for the calculation of the water flow transition information of the river channel during the water distribution process was established, based on the water distribution scheme given by the backtracking-search algorithm (BSA). This model was more suitable for areas with inefficient channel systems. The research areas included the main irrigation channels in Xiying City, which is one of the typical agricultural areas in northwestern China. The scheme obtained by optimal solution proposed for Xiying Irrigation District was feasible. According to the results of the flow simulations, the sluice gate calculation correlation could determine the change process of the gate opening of each channel, which provided a basis to realize the modernization of the irrigation area.

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Surface irrigation simulation-optimization model based on meta-heuristic algorithms

Cited by 43 publications

References 31 publications

Performance of a zero-inertia model for irrigation with rapidly varied inflow discharges

Performance of a zero-inertia model for irrigation with rapidly varied inflow discharges

Development of a simulation–optimization model with a multi‐objective framework for automatic design of a furrow irrigation system

Study on Unsteady Flow Based on Optimized Water Distribution Model in Irrigation District

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