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

Mazarei, Reza; Mohammadi, Amir H.; Naseri, Abd Ali; Ebrahimian, Hamed; Izadpanah, Zahra

doi:10.1016/j.agwat.2019.105899

Cited by 33 publications

(24 citation statements)

References 33 publications

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“…Figure (17) shows the irrigation efficiency of the current design of the RB100 system and the best techniques for maximizing furrow length and width that have achieved the highest irrigation performance. These management techniques have enabled PAEmin to increase from 68% to 69, 71, 72, and 73% for furrow widths of 1, 2, 3, and 4 m, respectively, at furrow lengths of 12 m, and DUmin to increase from 68% to 86, 85, 83 and 82% for furrow widths of 1, 2, 3, and 4 m, respectively, at furrow lengths of 12 m, and to reduce DP from 32% to 12, 13, 15 and 16% for furrow widths of 1, 2, 3, and 4 m, respectively, at furrow lengths of 12 m. The increase in PAE and DU by reducing field length under furrow irrigation closely corresponds to the results found by (Mazarei et al, 2020) who stated that decreased furrow length leads to an increase in the value of the objective function (including application efficiency, distribution uniformity and deep percolation). Optimizing irrigation performance for Flat-Basin By optimizing the existing basin sizes for the available inflow rate and cut-off time, the irrigation performance can be improved as shown in Table (5).…”

Section: Optimizing Irrigation Performance For Rb130 CMsupporting

confidence: 85%

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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 For Rb130 CMsupporting

confidence: 85%

“…These strategies may be a decrease in the flow rate and its time of application. According to (Mazarei et al, 2020), it is easy for growers to adjust flow discharge and cutoff time compared to soil properties modification and field design.…”

Section: Optimizing Irrigation Performance With Operation Analysis Worldmentioning

confidence: 99%

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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“…[1], found that, optimizing irrigation e ciency can be possible through changes in irrigation operation and eld design, which may lead water saving by reducing deep drainage losses and can enhance the e ciency of the system. [25,37], reported that application e ciency of the system can be increased by shortening the eld length and decreasing of the in ow rate. [32] also stated that e cient furrow irrigation can be ensured by selecting proper combination of decision variable.…”

Section: Discussionmentioning

confidence: 99%

Optimization of Furrow Irrigation Decision Variables: The case of Wonji Shoa Sugarcane Plantation, Ethiopia

Adamu

Ayana

Aregay

2022

Preprint

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Surface irrigation type is one of the most widely used in the world due to its low cost investment. However it is complex method of applying water to soil, because of extreme difficult to achieve good control over the highly variable nature of the movement of water across a soil surface and its infiltration into the soil over a season. This study is attempted to optimize furrow irrigation decision variables at Wonji sugar estate using field experiment and two simulation models. The field data of experimental site was measured as input for models and simulated using the SIRMOD software and WinSRFR software package. Furrow lengths of 32m, 48m and 64m, slopes of 0.05%, 0.075% and 0.1%and flow rates of 3l/sec, 4l/sec and 5l/sec were analyzed with three replication using volume balance method and two simulation models. The study found optimum decision variables that gave maximum application efficiency and distribution uniformity were slope of 0.1%, furrow length of 32m and inflow rate of 4 l/sec at cut-off time of 15.79 minutes. Thus, to improve the performance of furrow irrigation practice, optimal furrow length, inflow rates and cut-off time found by this study should be adopted. Findings from the study would serve as a source of information for use by policy makers and planners during the design and Operation of irrigation development programs. It does not focus on yield related optimization. So, it is open for the future research to conduct yield related optimization of the decision variables. The authors sincerely declare that this study is the product of their own efforts.

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“…4 Alberto et al (2011Alberto et al ( , 2014 ; Arif et al (2012); Cesari de Maria et al (2016); Masseroni, et al (2017); Sharda et al (2017). 5 Horst et al (2007); Gonçalves et al (2011); Du et al (2013); Mazarei et al (2020). 6 Humpherys (1989,1995); Trout and Kincaid (1989); Niblack and Sanchez (2008); Arnold et al (2015); Masseroni et al (2017).…”

Section: Introduction and Concepts Of Water Use And Water Consumptionmentioning

confidence: 99%

A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods

Jovanović

Pereira

Paredes

et al. 2020

Agricultural Water Management

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In the past few decades, research has developed a multitude of strategies, methods and technologies to reduce consumptive water use on farms for adaptation to the increasing incidence of water scarcity, agricultural droughts and multi-sectoral competition for water. The adoption of these water-saving practices implies accurate quantification of crop water requirements with the FAO56 crop coefficient approach, under diverse water availability and management practices. This paper critically reviews notions and means for maintaining high levels of water consumed through transpiration, land and water productivity, and for minimizing non-beneficial water consumption at farm level. Literature published on sound and quantified experimentation was used to evaluate water-saving practices related to irrigation methods, irrigation management and scheduling, crop management, remote sensing, plant conditioners, mulching, soil management and micro-climate regulation. Summary tables were developed on the benefits of these practices, their effects on non-beneficial water consumption, crop yields and crop water productivity, and the directions for adjustment of FAO56 crop coefficients when they are adopted. The main message is that on-farm application of these practices can result in water savings to a limited extent (usually < 20%) compared to sound conventional practices, however this may translate into large volumes of water at catchment scale. The need to streamline data collection internationally was identified due to the insufficient number of sound field experiments and modelling work on the FAO56 crop water requirements that would allow an improved use of crop coefficients for different field conditions and practices. Optimization is required for the application of some practices that involve a large number of possible combinations (e.g. wetted area in micro-irrigation, row spacing and orientation, plant density, different types of mulching, in-field water harvesting) and for strategies such as deficit irrigation that aim at balancing water productivity, the economics of production, infrastructural and irrigation system requirements. Further research is required on promising technologies such as plant and soil conditioners, and remote sensing applications.

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

Cited by 33 publications

References 33 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

Optimization of Furrow Irrigation Decision Variables: The case of Wonji Shoa Sugarcane Plantation, Ethiopia

A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods

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