Infiltration parameters from optimisation on furrow irrigation advance data

McClymont, D. J.; Smith, R. J.

doi:10.1007/s002710050017

Cited by 46 publications

(27 citation statements)

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“…For each irrigation event the parameters (a, k and f o ) in this equation were determined from the irrigation advance data using the program INFILT (McClymont & Smith, 1996). These parameters, along with the physical characteristics of the irrigation furrows, were then used in the surface irrigation simulation model SIRMOD (Walker, 1999) to reproduce each irrigation event as measured.…”

Section: Analysis Of Deep Drainage and Application Efficiencymentioning

confidence: 99%

Irrigation application efficiency and deep drainage potential under surface irrigated cotton

Smith

Raine

Minkevich

2005

Agricultural Water Management

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Furrow irrigation events conducted under usual farmer management were analysed to determine the irrigation application efficiencies being attained, and the magnitude of the irrigation contribution to deep drainage under surface irrigated cotton in Queensland. Application efficiencies were shown to vary widely from 17 to 100% and on average were a low 48%. Losses to deep drainage were substantial, averaging 42.5 mm per irrigation. This has the potential for significant environmental harm and also represents an annual loss of up to 2500 m 3 /ha (2.5 Ml/ha) of water that could be beneficially used to grow more cotton. Simulations of each event using the simulation model SIRMOD illustrated simple 'recipe' strategies that would lead to gains in efficiency and reductions in the deep drainage losses. Additional simulations of selected events showed that further significant improvements in performance can be achieved by the application of more advanced irrigation management practices, involving in-field evaluation and optimisation of the flow rate and irrigation time to suit the individual soil conditions and furrow characteristics. Application efficiencies in the range 85 to 95% are achievable in all but the most adverse conditions. The dependency between deep drainage and irrigation management was demonstrated, confirming that substantial reductions in deep drainage are possible by ensuring that irrigation applications do not exceed the soil moisture deficit.

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Section: Analysis Of Deep Drainage and Application Efficiencymentioning

confidence: 99%

Irrigation application efficiency and deep drainage potential under surface irrigated cotton

Smith

Raine

Minkevich

2005

Agricultural Water Management

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“…Renault and Wallender (1996) found that initial variations in inflow rates often cause the resulting Kostiakov infiltration functions to have low a but high k. Experience with the INFILT optimisation of McClymont and Smith (1996) suggests that a seemingly small change in the inflow rate can have a considerable impact on the estimated infiltration function. However, inflow variation is often overlooked.…”

Section: Introductionmentioning

confidence: 99%

“…The modified Kostiakov equation is the most commonly used (e.g. Elliott et al 1983;McClymont and Smith 1996;Walker 2005) empirical function representing soil infiltration rates in surface irrigation:…”

Section: Introductionmentioning

confidence: 99%

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Accounting for temporal inflow variation in the inverse solution for infiltration in surface irrigation

2006

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A simple modification of the volume balance equation of the IPARM model is presented to facilitate the use of variable inflow. Traditional approaches for estimating infiltration from advance and/or runoff have merely considered the constant or step inflow case. Whenever this assumption is violated, significant uncertainty is introduced into the estimated infiltration parameters. Evaluation of the procedure with a number of data sets has demonstrated significant improvements in the estimates of infiltration parameters. Furthermore, the technique has shown that a portion of the apparent variability in estimated soil intake rates between furrows in the same field is a consequence of the constant inflow assumption. Accounting for the variable inflow to estimate infiltration functions, both standardised the shape of the infiltration curve and reduced the magnitude of the variation between curves. The proposed technique remains restricted by limitations similar to that of other volume balance models but offers greater performance under typical inflow variations often experienced in practice.

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“…In addition, while the inverse solution techniques (e.g. IPARM (Gillies et al 2007) and INFILT (McClymont and Smith 1996)) used commercially to estimate the infiltration function are ideal for a small number of furrows, they are generally too dataintensive for identification of infiltration functions for all furrows across the field.…”

Section: Introductionmentioning

confidence: 99%

Evaluating whole field irrigation performance using statistical inference of inter-furrow infiltration variation

Gillies

Smith

Raine

2011

Biosystems Engineering

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Inter-furrow infiltration variability is often ignored during the evaluation and optimisation of furrow irrigation. Existing techniques for estimating infiltration parameters are generally too intensive in measurement and computation for routine application at the field scale and have therefore primarily been used to study the behaviour of single furrows. This paper identifies the inter-furrow infiltration variation within typical furrow-irrigated fields and determines that this variation can be adequately described using a log-normal distribution. A procedure to predict whole field furrow infiltration characteristics using minimum field measurements is then presented. The technique uses a single advance measurement for single furrows and the log-normal probability distribution to predict the statistical distribution of infiltration functions across the field based on the measured infiltration curve for one or more fully evaluated furrows. This technique also considers the infiltration curve over appropriate ranges of opportunity time. Simulations using the predicted infiltration parameters demonstrate more accurate estimates of the whole field efficiency and uniformity than those extrapolated from infiltration measurements on a limited number of furrows as sampled in a conventional evaluation. Surface irrigation; Furrow irrigation; Infiltration

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Infiltration parameters from optimisation on furrow irrigation advance data

Cited by 46 publications

References 0 publications

Irrigation application efficiency and deep drainage potential under surface irrigated cotton

Irrigation application efficiency and deep drainage potential under surface irrigated cotton

Accounting for temporal inflow variation in the inverse solution for infiltration in surface irrigation

Evaluating whole field irrigation performance using statistical inference of inter-furrow infiltration variation

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