Surface Irrigation Optimization Models

Holzapfel, Eduardo; Mariňo, Miguel A.; Chávez-Morales, Jesús

doi:10.1061/(asce)0733-9437(1986)112:1(1)

Cited by 28 publications

(8 citation statements)

References 11 publications

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“…Hence, the time of irrigation cutoff is the most important variable in furrow irrigation when the objective is to maximize irrigation efficiency. Similar results were obtained by Holzapfel et al (1986) under optimum surface irrigation design, using optimization process and Zerihun et al (2001) to design and management furrow irrigation under a fix RE value. Based on the results discussed earlier and on the analysis of the adequacy of each parameter to reflect the behaviour of the irrigation, it can be said that RE, RDE, and TDE are the parameters that give the best performance of the irrigation as a function of the water requirements of a furrow-irrigated crop and TDE and AE give a better description of the leaching and contamination effects of the furrow irrigation.…”

Section: Coefficient Valuesupporting

confidence: 74%

Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models

Holzapfel¹,

Leiva²,

Mariňo

et al. 2010

Chilean J. Agric. Res.

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This study analyzes the relationship between the variables of furrow irrigation and the irrigation performance parameters, crop yield, and deep percolation as a basis for furrow irrigation design and management. Application efficiency (AE), requirement efficiency (RE), requirement distribution efficiency (RDE), total distribution efficiency (TDE), and furrow irrigation management, operation, and design variables (inflow discharge, furrow length, and irrigation cutoff time) were correlated. The relationship between performance irrigation parameters and relative yield was also examined. In addition, environmental aspects related to leaching and runoff were also presented for each of the parameters. Study results indicate that increasing the length of the furrow reduces RE, RDE, and TDE values. However, an increase in inflow discharge and cutoff time increases efficiency. In contrast, an increase in furrow length increases AE while an increase in inflow discharge and cutoff time reduces it. Unlike AE, RE, RDE, and TDE parameters are well-correlated with relative yield. TDE and AE are recommended parameters for the design, management, and operation of furrow irrigation systems, in order to establish good irrigation practices, and to prevent contamination.

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Section: Coefficient Valuesupporting

confidence: 74%

Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models

Holzapfel¹,

Leiva²,

Mariňo

et al. 2010

Chilean J. Agric. Res.

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“…These packages use as basic algorithms, the simplex method, the quassi-Newton method and the reduced gradient method to solve linear, nonlinear and integer optimization problems, guaranteeing a global optimal solution. The optimization model for border irrigation considered all the parameters involved in the design procedure, thus providing a close representation of reality as reported by other workers (Neil et al 2014 andHolzapfel et al 1986). By setting the right hand side of model's restriction to desired values, different irrigation management schemes can be tested.…”

Section: Constraintsmentioning

confidence: 77%

“…Holzapfel et al (1985) analyzed several parameters that measure the irrigation performance for their relation to surface irrigation design variables and yield. Holzapfel et al(1986) presented furrow and border irrigation design optimization models for corn. The models, which have nonlinear objective functions and constraints, were linear zed to take advantage of existing linear programming code that perform sensitivity analysis and can be run in microcomputers.…”

mentioning

confidence: 99%

Non-linear optimization model for border irrigation system for wheat crop (Triticum aestivum)

Vishwakarma¹,

Garg²,

Singla³

et al. 2014

Intern. Jour. of Agricul., Environ. and Biotech.

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Nonlinear optimization design models were developed for field conditions to design and manage border irrigation system using Lewis-Kostiakov infiltration equation. The design criterion used in the models was the depth of irrigation and basic infiltration rate of the soil. The objective function of the nonlinear model was constructed on the basis of a relationship between net returns and water application efficiency. The design variables of the models were the inflow rate, length of run, cutoff time, number of borders per set and number of sets. The nonlinear model gives a better representation of the design parameters and is more flexible because it permits easy changes in the objective function. Highlights• The non linear model developed can be used to compare different types of border irrigation management strategies.• Optimization technique can be used as a tool for the design and management of border irrigation system.• The optimal design of border irrigation can be used to increase farm income by optimizing design variables.• The model gives the optimal values of design variables.

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“…The water harvesting is influenced by the characteristics of the stream flow that traverses from the source of inundation (tributary bank) to the outlet (valley end) and the time of inundation. Holzapfel and Marino (1986) and James (1986) have insisted on this idea in boarder irrigation systems by optimization models focusing inflow discharge, length of run, time of irrigation cutoff, width of borders, etc. The flow-advance pattern in the plain is ''on-line,'' i.e., the flow front is non-stop, but gradually decreasing towards the extreme end of the valley for ultimate submergence.…”

Section: Theorymentioning

confidence: 99%

Mathematical Model on Flow Regime and Water Harvesting in Inundation Plains¹

Goswami¹

2007

J American Water Resour Assoc

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A mathematical model on flow regime and water harvesting in inundation plains is presented. The flow profile is a free over‐fall at the end of the desired inundation. The flow front in the plain is on‐line for the entire coverage, in a sense that there is initiation of flow mass after each small reach of the flow traverse, and it is continuing to the extreme point of coverage. The water‐harvesting phenomenon depends upon the occurrences of the hydrologic events, the nature of surface flows in the valley, the expected favorable time of flood incidence, and the soil characteristics of the plains. The model has been tested for three micro‐watersheds of different soil characteristics. It is best suited to platykurtic nature of flood phenomenon in the study area, with the correlation co‐efficient in‐between computed and observed amount of water harvesting above 0.90.

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Surface Irrigation Optimization Models

Cited by 28 publications

References 11 publications

Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models

Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models

Non-linear optimization model for border irrigation system for wheat crop (Triticum aestivum)

Mathematical Model on Flow Regime and Water Harvesting in Inundation Plains¹

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Surface Irrigation Optimization Models

Cited by 28 publications

References 11 publications

Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models

Furrow Irrigation Management and Design Criteria Using Efficiency Parameters and Simulation Models

Non-linear optimization model for border irrigation system for wheat crop (Triticum aestivum)

Mathematical Model on Flow Regime and Water Harvesting in Inundation Plains1

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Mathematical Model on Flow Regime and Water Harvesting in Inundation Plains¹