A Flexible System for Estimation of Infiltration and Hydraulic Resistance Parameters in Surface Irrigation

Bautista, E.; Schlegel, James L.

doi:10.13031/trans.12117

Cited by 9 publications

(13 citation statements)

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“…The analysis was conducted using a prerelease version of the WinSRFR 5.0 EVALUE parameter estimation component (Bautista and Schlegel 2017a). EVALUE uses volume balance analysis and unsteady flow simulation to evaluate infiltration and then to estimate the parameters of a selected infiltration model.…”

Section: Infiltration Analysis and Parameter Estimationmentioning

confidence: 99%

“…where A 0 (L 2 ) = upstream cross-sectional area, which is a function of the flow-depth y 0 (L); σ y = dimensionless shape parameter, assumed to vary in the range 0.5-1.0; and x A (L) = stream length (i.e., the advance distance). Since both the upstream depth y 0 needed to calculate A 0 and σ y depend on the unknown infiltration function (Bautista et al 2012), the EVALUE component uses unsteady flow simulation to help refine these estimates (Bautista and Schlegel 2017a). The times t i used for the volume balance calculations depend on the available data and the computational strategy used for parameter estimation (Bautista and Schlegel 2017a).…”

Section: Infiltration Analysis and Parameter Estimationmentioning

confidence: 99%

“…Since both the upstream depth y 0 needed to calculate A 0 and σ y depend on the unknown infiltration function (Bautista et al 2012), the EVALUE component uses unsteady flow simulation to help refine these estimates (Bautista and Schlegel 2017a). The times t i used for the volume balance calculations depend on the available data and the computational strategy used for parameter estimation (Bautista and Schlegel 2017a). The EVALUE component suggests calculation times, which can be modified by the user.…”

Section: Infiltration Analysis and Parameter Estimationmentioning

confidence: 99%

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Variability of Furrow Infiltration and Estimated Infiltration Parameters in a Macroporous Soil

Guzmán-Rojo

Bautista

Gonzalez-Trinidad

et al. 2019

J. Irrig. Drain Eng.

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Understanding the spatial and temporal variations of infiltration in furrows is essential for the design and management of furrow irrigation systems. A key difficulty in quantifying the process is that infiltration depends on the depth of flow, which varies along a furrow and with time. An additional difficulty is that under many field conditions, a large fraction of the infiltrated water flows through cracks and/or macropores. This study examines the spatial and temporal variability of a furrow-irrigated field and evaluates a proposed semiphysical furrow infiltration model that accounts for flow-depth and macroporosity effects. Parameter estimation techniques were used to determine two parameters of the infiltration model, the hydraulic conductivity and the macroporosity term, in addition to the Manning roughness coefficient. The methodology was tested using published data from 30 furrow irrigation data sets collected in six furrows over five irrigation events. The evaluation revealed substantial variations in the final infiltrated volume among furrows and from one irrigation event to the next. Variability patterns differed markedly for infiltration measured during the advance phase in comparison with infiltration measured during the storage phase of the irrigations. Advance-phase infiltration varied systematically between irrigations for all furrows. Interfurrow inflow rate variability contributed to the variability of the infiltration during the postadvance phase, but not during the advance phase. Thus, cracks and/or macropores were an important contributor to the variability of infiltration during the advance phase. The analysis produced reasonable estimates of hydraulic conductivity relative to values reported in the literature. Hydraulic conductivity and post-advance infiltration volumes exhibited similar patterns of temporal variability. Hydraulic conductivity estimates were statistically correlated to the applied inflow rate. Although the reasons for this correlation are not clear, a possible explanation is that they are the result of systematic differences in the applied inflow rate among furrows. As with the advance-phase infiltration volumes, the estimated macroporosity term exhibited greater variation among irrigation events than among furrows during an event. The estimation procedure produced smaller differences between volume balance computed infiltration volumes and predicted values when using the semiphysical infiltration model than when using an empirical infiltration equation. Overall, the results show that the proposed furrow infiltration model represents the infiltration process adequately and that, at least for the studied data sets, the proposed estimation procedure yields a coherent set of infiltration and hydraulic resistance parameter values.

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Section: Infiltration Analysis and Parameter Estimationmentioning

confidence: 99%

Section: Infiltration Analysis and Parameter Estimationmentioning

confidence: 99%

Section: Infiltration Analysis and Parameter Estimationmentioning

confidence: 99%

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Variability of Furrow Infiltration and Estimated Infiltration Parameters in a Macroporous Soil

Guzmán-Rojo

Bautista

Gonzalez-Trinidad

et al. 2019

J. Irrig. Drain Eng.

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“…where Ks (m•s −1 ) is the soil saturated hydraulic conductivity, ∆θ = θ s − θ i (m 3 •m −3 ) is the soil water depletion represented by the difference between the saturated water content θ s and the initial water content θ i , P ini (m) is the matric suction behind the infiltration front and F (m) is the cumulative infiltration. Methods for estimating infiltration and roughness parameters differ according to the nature and quantity of field data required and also to the models used for the simulation, [2,[6][7][8][16][17][18][19][20] and others.…”

Section: Introductionmentioning

confidence: 99%

“…To deal with multiple measurements, [14] developed a multilevel calibration technique: the different parameters (3 infiltration parameters and 1 roughness coefficient) were sequentially estimated using different datasets. Some authors also added additional data in the fitting process, such as a runoff hydrograph [9,13], a surface water profile at one time [22], runoff hydrograph, recession curve and water height evolution at several locations across the field surface [8,17].…”

Section: Introductionmentioning

confidence: 99%

An Improved Method to Estimate Soil Hydrodynamic and Hydraulic Roughness Parameters by Using Easily Measurable Data During Flood Irrigation Experiments and Inverse Modelling

Alosman

Ruy

Buis

et al. 2018

Water

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Surface irrigation is known as a highly water-consuming system and needs to be optimized to save water. Models can be used for this purpose but require soil parameters at the field scale. This paper aims to estimate effective soil parameters by combining: (i) a surface flow-infiltration model, namely CALHY; (ii) an automatic fitting algorithm based on the SIMPLEX method; and (iii) easily accessible and measurable data, some of which had never been used in such a process, thus minimizing parameter estimation errors. The validation of the proposed approach was performed through three successive steps: (1) examine the physical meaning of the fitted parameters; (2) verify the accuracy of the proposed approach using data that had not been served in the fitting process; and (3) validate using data obtained from independent irrigation events. Three parameters were estimated with a low uncertainty: the saturated hydraulic conductivity Ks, the hydraulic roughness k, and the soil water depletion ∆θ. The estimation uncertainty of the soil surface depressional storage parameter H0 was of the same order of magnitude of its value. All experimental datasets were simulated very well. Performance criteria were similar during both the fitting and validation stages.

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Simplified method for estimating the optimal cut‐off time of closed‐end border irrigation^*

Nie

2020

Irrigation and Drainage

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Closed-end border irrigation has been widely used in China; however, such irrigation is usually associated with poor performance. Therefore, the performance of closed-end border irrigation must be improved. The objectives of this study were to develop and verify a simplified method for estimating the optimal cut-off time (T cop ) for closed-end border irrigation. The simulated results revealed that the relationship between T cop and the time when water advanced to 75% of the length of the border (T 0.75L ) can be characterized by using a power function. The comprehensive irrigation performance indicator Y (which is the geometric mean of the application efficiency and Christiansen's uniformity) obtained using the proposed method was consistent with that obtained using existing methods. The mean absolute value of the relative error and the standard error of Y between the proposed method and existing methods was 3.35 and 0.69%, respectively. This result indicates that the proposed method has high reliability. Moreover, in the proposed method, only T 0.75L is required to determine T cop for closed-end border irrigation. Therefore, the proposed method has high practicality and can be used to improve the performance of closed-end border irrigation. K E Y W O R D Sirrigation en circuit fermé, temps limite, débit par unité de largeur, performances d'irrigation Abstract Résumé L'irrigation en circuit fermé a été largement utilisée en Chine; cependant, une telle irrigation est généralement associée à de mauvaises performances. Par conséquent, la performance de l'irrigation en circuit fermé doit être améliorée.Les objectifs de cette étude étaient de développer et de vérifier une méthode simplifiée pour estimer le temps de coupure optimal (T cop ) pour l'irrigation en circuit fermé. Les résultats simulés ont révélé que la relation entre T cop et le moment où l'eau a avancé jusqu'à 75% de la longueur du circuit (T 0.75L ) peut être caractérisée à l'aide d'une fonction de puissance. L'indicateur complet de performance d'irrigation Y (qui est la moyenne géométrique de l'efficacité de l'application et de l'uniformité de Christiansen) obtenu à l'aide de la méthode * Méthode simplifiée d'estimation de l'heure de coupure optimale de l'irrigation en circuit fermé.

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A Flexible System for Estimation of Infiltration and Hydraulic Resistance Parameters in Surface Irrigation

Cited by 9 publications

References 0 publications

Variability of Furrow Infiltration and Estimated Infiltration Parameters in a Macroporous Soil

Variability of Furrow Infiltration and Estimated Infiltration Parameters in a Macroporous Soil

An Improved Method to Estimate Soil Hydrodynamic and Hydraulic Roughness Parameters by Using Easily Measurable Data During Flood Irrigation Experiments and Inverse Modelling

Simplified method for estimating the optimal cut‐off time of closed‐end border irrigation^*

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A Flexible System for Estimation of Infiltration and Hydraulic Resistance Parameters in Surface Irrigation

Cited by 9 publications

References 0 publications

Variability of Furrow Infiltration and Estimated Infiltration Parameters in a Macroporous Soil

Variability of Furrow Infiltration and Estimated Infiltration Parameters in a Macroporous Soil

An Improved Method to Estimate Soil Hydrodynamic and Hydraulic Roughness Parameters by Using Easily Measurable Data During Flood Irrigation Experiments and Inverse Modelling

Simplified method for estimating the optimal cut‐off time of closed‐end border irrigation*

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Simplified method for estimating the optimal cut‐off time of closed‐end border irrigation^*