Temporal variability of infiltration and roughness coefficients and furrow irrigation performance under different inflow rates

Mazarei, Reza; Mohammadi, Amir Soltani; Ebrahimian, Hamed; Naseri, Abd Ali

doi:10.1016/j.agwat.2020.106465

Cited by 23 publications

(21 citation statements)

References 49 publications

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“…These findings are consistent with those obtained by Bautista et al (2013). Mazarei et al, (2021) the results indicated that under higher inflow rates, the AE values decreased while the DP increased. The results reveal that a very low inflow rate associated with a shorter cutoff time must be avoided because it will result in incomplete irrigation water advance.…”

Section: Optimizing Irrigation Performance With Operation Analysis Worldmentioning

confidence: 87%

“…Manning's roughness coefficient, n (s m -1/3 ) Manning's roughness coefficient is the most essential factor for the design and assessment of surface irrigation ( Harun-ur-Rashid, 1990). Abbasi (2013), noted that Manning's roughness coefficient is generally considered to be between 0.02 and 0.04 for furrows and changes with time and position (Mazarei et al, 2021). In this study, Manning's roughness coefficient was based on the recommended values of the NRCS (USDA-SCS, 1991) and this coefficient was great-tuned in the light of the roughness of the furrow bed and the presence of planting (Pascual-Seva et al, 2013).…”

Section: Double-ring Infiltrometermentioning

confidence: 99%

“…Modifying infiltration parameters and existing design characteristics can be accomplished by a trial-and-error approach used to estimate infiltration parameters (Bautista et al, 2019). These parameters and the Manning coefficient were used in the simulation analysis world of the WinSRFR model to obtain simulated advance and recession curves, which were compared to the measured curves and if the fit was weak, new combinations of n, a, and k were validated over an approximate range, and this method was repeated until the best-fit match was achieved between the simulated and measured curves (Mazarei et al, 2021). Once the model is successful, WinSRFR has been used for simulating the hydraulic performance of furrows (Biru Dechasa Sima, 2018).…”

Section: Calibration and Validation Of Winsrfrmentioning

confidence: 99%

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IMPROVING IRRIGATION PERFORMANCE OF RAISED BED WHEAT USING THE WinSRFR MODEL UNDER EGYPTIAN CONDITIONS

Ismail¹,

Thabet²,

El-Al

et al. 2021

Misr Journal of Agricultural Engineering

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Field experiments were carried out at the Sakha Agricultural Research Station in the governorate of Kafr el Sheikh, Egypt to evaluate and optimize the irrigation performance of raised beds wheat using the WinSRFR model during 2019/2020. Raised beds (RB130 cm, and RB100 cm) were prepared using Raised bed planter. The model calibration was based on a close match between the observed and simulated curves of advance and recession time. Simulation Analysis World was used to evaluate the current irrigation performance of the raised bed furrows (RB) and the flat basin (FB) methods. The simulation analysis shows that for RB130 cm, RB100 cm, and FB irrigation systems, the application efficiencies were 80, 64, 43%, and distribution uniformities were 86, 88, 90%, and deep percolation losses were 20, 36, 56%, and adequacy were 1.07, 1.37, 2.08%, respectively. Physical Design World was used to optimize and develop different design strategies. The results showed that irrigation performance decreased with the increasing length of furrow and basin, so extremely long lengths should be avoided because they result in decreased efficiency and uniformity, as well as big deep percolation loss. Managing the inflow rate and irrigation cut-off through Operation Analysis World can increase application efficiency and reduce deep percolation losses by more than 15%, 60%, and 17%, 33%, and 23%, 17.5% respectively, for RB130 cm, RB100 cm, and FB.

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Section: Optimizing Irrigation Performance With Operation Analysis Worldmentioning

confidence: 87%

Section: Double-ring Infiltrometermentioning

confidence: 99%

Section: Calibration and Validation Of Winsrfrmentioning

confidence: 99%

See 1 more Smart Citation

IMPROVING IRRIGATION PERFORMANCE OF RAISED BED WHEAT USING THE WinSRFR MODEL UNDER EGYPTIAN CONDITIONS

Ismail¹,

Thabet²,

El-Al

et al. 2021

Misr Journal of Agricultural Engineering

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show abstract

“…In response to the challenges posed by the assorted problems identified within the practice of irrigation, the knowledge of surface irrigation has advanced with new developments. Regarding modelling issues, progress was made in predicting the advance and recession curves [10], infiltration, and soil roughness [11][12][13]. Concerning the irrigation processes, the advances in basins [14], border [15], and furrows [13,16] have been recorded.…”

Section: Introductionmentioning

confidence: 99%

“…Regarding modelling issues, progress was made in predicting the advance and recession curves [10], infiltration, and soil roughness [11][12][13]. Concerning the irrigation processes, the advances in basins [14], border [15], and furrows [13,16] have been recorded. As for the optimization of the on-farm system management, progress has been made, both in conventional methodologies [8,15,17,18] and within the application of artificial intelligence resources [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Water-Saving Techniques and Practices for On-Farm Surface Irrigation Systems

Gonçalves

Miao

2021

The 1st International Electronic Conference on Agronomy

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As surface irrigation systems are one of the most used water management techniques in the world, often working with high water losses, there is an urgency to their improvement. Modern methods that provide water savings and labour reduction require adequate design, management knowledge, and technical decision support. This study aims to improve water saving techniques for on-farm systems through an example of the decision-aid process being applied as a methodology based on the field experimentation and modelling of modern surface irrigation technologies in the Hetao (China) and Lower Mondego (Portugal) case studies. The performance indicators of irrigation water productivity (IWP) and the economic water productivity ratio (EWPR) were applied to compare the performance of several project solutions. The results obtained include a complete description of the latest irrigation solutions at the level basin, graded border, and graded furrows, which are adaptable to those case studies. The results revealed the benefits of a level-basin solution. For example, in Hetao, replacing the traditional system with a 100 m or 200 m long level basin, resulted in an increase in IWP by 40% and 3%, respectively, and in EWPR by 23% and 67%, respectively. The effect of a longer basin enables the reduction in operative costs, with a slight increase in distribution uniformity. In Lower Mondego, the IWP increased by 65% and the EWPR increased by 82%, by adopting graded furrows with 1.0‰ slopes and 200 m lengths. The main drivers of development of these surface irrigation systems were determined, namely, the runoff reuse and the system design and management. The issue that the local markets with equipment and consulting services should be available for farmers is also relevant to the development. It was proven that the effectiveness of modern surface water systems must adapt the solutions of the projects to the local characteristics of plot size and slope, soil type, and water supply.

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Estimating Infiltration in Open‐ended Furrow Irrigation by Modifying Final Infiltration Rate

Panahi

Alizadeh‐Dizaj

Ebrahimian

et al. 2022

Irrigation and Drainage

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The Kostiakov–Lewis equation is one of the commonly used infiltration equations in furrow irrigation. Elliott and Walker developed a two‐point method to estimate coefficients of the Kostiakov–Lewis equation. The basic infiltration rate (fo) in the Kostiakov–Lewis equation is usually calculated by the inflow–outflow method to determine the other two Kostiakov–Lewis parameters. In that method the entire furrow is used as an infiltrometer, which can cause overestimation of fo. In this study, by considering a correction factor in the mathematical calculations where the newly calculated value of fo is represented as fo* and the values of the a and k parameters, as calculated during the advance phase, are represented as a* and k*. The amount of infiltration volume estimated by the proposed method was evaluated using 21 open‐ended furrow irrigation data sets by calculating the relative error (RE) index. The value of fo decreased and the values of a and k increased by using the proposed method as compared to the Elliott and Walker method. Therefore, the results showed that the proposed method estimated infiltration volume with greater accuracy (average absolute RE = 4.0%) as compared to the Elliott and Walker method (average absolute RE = 7.8%).

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Temporal variability of infiltration and roughness coefficients and furrow irrigation performance under different inflow rates

Cited by 23 publications

References 49 publications

IMPROVING IRRIGATION PERFORMANCE OF RAISED BED WHEAT USING THE WinSRFR MODEL UNDER EGYPTIAN CONDITIONS

IMPROVING IRRIGATION PERFORMANCE OF RAISED BED WHEAT USING THE WinSRFR MODEL UNDER EGYPTIAN CONDITIONS

Water-Saving Techniques and Practices for On-Farm Surface Irrigation Systems

Estimating Infiltration in Open‐ended Furrow Irrigation by Modifying Final Infiltration Rate

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