Furrow infiltration and roughness prediction for different furrow inflow hydrographs using a zero-inertia model with a multilevel calibration approach

Moravejalahkami, Bita; Mostafazadeh‐Fard, B.; Heidarpour, Manouchehr; Abbasi, Fariborz

doi:10.1016/j.biosystemseng.2009.04.005

Cited by 26 publications

(24 citation statements)

References 15 publications

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“…He showed that these coefficients led to accurate simulation of surface runoff and recession trajectory; however it lacked the same capacity to simulate the advance trajectory. Moravejalahkami, Mostafazadeh-Fard, Heidarpour, and Abbasi (2009) studied the ability of multilevel calibration to determine infiltration and roughness parameters in three different inflow hydrograph shapes i.e. constant, cablegation and cutback.…”

Section: Introductionmentioning

confidence: 99%

Calibration of infiltration, roughness and longitudinal dispersivity coefficients in furrow fertigation using inverse modelling with a genetic algorithm

Sedaghatdoost

Ebrahimian

2015

Biosystems Engineering

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Section: Introductionmentioning

confidence: 99%

Calibration of infiltration, roughness and longitudinal dispersivity coefficients in furrow fertigation using inverse modelling with a genetic algorithm

Sedaghatdoost

Ebrahimian

2015

Biosystems Engineering

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“…• Acceptable accuracy for simulating field condition under variable inflow hydrograph shape (Moravejalahkami et al ., )…”

Section: Resultsmentioning

confidence: 99%

“…Moravejalahkami et al . () applied a developed zero‐inertia model using the multi‐level calibration method for estimation of furrow irrigation infiltration and the roughness coefficient. In this study, three different furrow inflow hydrographs such as cutback, constant and cablegation were applied.…”

Section: Discussionmentioning

confidence: 99%

“…• More accurate than the two-point method (Walker, 2005) • Acceptable accuracy for simulating field condition under variable inflow hydrograph shape (Moravejalahkami et al, 2009) • More accurate than simple volume balance approach (Moravejalahkami et al, 2012b) Simple volume balance approach (based on advance and runoff data) • Inflow • Flow cross-section area • Outflow hydrograph (runoff in each time) (Gillies and Smith, 2005) • Average cross-sectional area of flow (σyAo) is considered…”

Section: Considerationsmentioning

confidence: 99%

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METHODS OF INFILTRATION ESTIMATION FOR FURROW IRRIGATION^†

Moravejalahkami

2019

Irrigation and Drainage

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Infiltration is an important evaluation parameter for furrow irrigation. In this study, most common methods for estimation of furrow irrigation infiltration, their weaknesses and strengths, have been reviewed and discussed to select the best method based on field conditions. Intake families, based on soil characteristic data, could be used as a starting point for analysing surface irrigation infiltration. Since furrow irrigation infiltration is affected by parameters such as soil characteristics and furrow irrigation hydraulic behaviour, the methods of estimating this parameter should reflect field irrigation conditions. In other words, the methods based only on advance time, such as the two‐point method, which is a small part of an irrigation event, could not have considered the soil infiltration during irrigation time. Infiltration is simulated more precisely using methods based on advance time and runoff data such as the multi‐level calibration method and volume balance approach. The execution times and iteration through the simulation algorithms were less for the volume balance approach when compared to the multi‐level calibration method. The variance techniques (based on average infiltration and considering infiltration variation) simulated infiltration almost the same as field measurements using a neutron probe. © 2019 John Wiley & Sons, Ltd.

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“…Incorporated into SIRMOD, this approach uses the full hydrodynamic model. Subsequently the multi-level approach was applied in conjunction with the zero inertia model (Moravejalahkami et al 2009). This approach to calibration is based on the premise that each of the parameters is sensitive to a particular stage of the irrigation.…”

Section: Fig 3 Sample Spatially Varied Infiltration Function and Resmentioning

confidence: 99%

SISCO: surface irrigation simulation, calibration and optimisation

Gillies

Smith

2015

Irrig Sci

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Surface water flow over an irrigated field can be described by the principles of conservation of mass (continuity) and conservation of momentum. For a prismatic channel, continuity and momentum, which are often termed the Saint-Venant equations, can be expressed in the singledimensional form (Walker and Skogerboe 1987):Conservation of mass (continuity): Conservation of momentum:where Q is the discharge (m 3 s −1 ), A is the cross-sectional area of flow (m 2 ), x is the distance (m), t is time (s), I is the soil infiltration rate (m 3 m −2 s −1 ), y is the depth of flow (m), g is the acceleration due to gravity (m s −2 ) and S 0 and S f are the bed slope and friction slope (dimensionless), respectively. This single-dimensional representation is also often preferred for basin irrigation where the more theoretically correct twodimensional model encounters numerical stability issues. Throughout this paper, the soil intake rate per unit length of furrow, represented by I in the continuity equation (Eq. 1), is evaluated using the modified Kostiakov (Kostiakov-Lewis) function:This equation is more commonly expressed in terms of a cumulative infiltration, Z (m 3 m −2 ):where τ is the opportunity or ponding time (s), and a, k and f 0 are the empirical infiltration parameters, the values ofAbstract A model is described which applies the full one-dimensional version of the Saint-Venant equations for open channel flow to simulate the process of surface irrigation. The resulting software for surface irrigation simulation, calibration and optimisation, abbreviated to SISCO, was developed for use in a standard PC environment. Unlike some other models currently in use, SISCO can accommodate temporal variations in inflow rates and spatial variability in soil infiltration, surface roughness, slope and furrow geometry. The main focus of the paper is in regard to the calibration functionality, whereby it is capable of estimating the soil infiltration characteristic and Manning roughness from various combinations of practically obtainable field measurements.

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Furrow infiltration and roughness prediction for different furrow inflow hydrographs using a zero-inertia model with a multilevel calibration approach

Cited by 26 publications

References 15 publications

Calibration of infiltration, roughness and longitudinal dispersivity coefficients in furrow fertigation using inverse modelling with a genetic algorithm

Calibration of infiltration, roughness and longitudinal dispersivity coefficients in furrow fertigation using inverse modelling with a genetic algorithm

METHODS OF INFILTRATION ESTIMATION FOR FURROW IRRIGATION^†

SISCO: surface irrigation simulation, calibration and optimisation

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Furrow infiltration and roughness prediction for different furrow inflow hydrographs using a zero-inertia model with a multilevel calibration approach

Cited by 26 publications

References 15 publications

Calibration of infiltration, roughness and longitudinal dispersivity coefficients in furrow fertigation using inverse modelling with a genetic algorithm

Calibration of infiltration, roughness and longitudinal dispersivity coefficients in furrow fertigation using inverse modelling with a genetic algorithm

METHODS OF INFILTRATION ESTIMATION FOR FURROW IRRIGATION†

SISCO: surface irrigation simulation, calibration and optimisation

Contact Info

Product

Resources

About

METHODS OF INFILTRATION ESTIMATION FOR FURROW IRRIGATION^†