Modelling nitrate losses in drainage water using DRAINMOD 5.0

Helwig, T.; Madramootoo, Chandra A.; Dodds, Georges T.

doi:10.1016/s0378-3774(02)00005-7

Cited by 32 publications

(20 citation statements)

References 12 publications

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“…The hydrologic component has been tested extensively and applied in many parts of the world for different soil types and climates through calibration and validation procedures (Sanoja et al, 1990;Singh et al, 1994;Oztekin et al, 1999;Borin et al, 2000;Zhao et al, 2000;Amatya and Skaggs, 2001;Luo et al, 2001;Northcott et al, 2001;Helwig et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Uncertainties in DRAINMOD predictions of subsurface drain flow for an Indiana silt loam using the GLUE methodology

Wang

Frankenberger

Kladivko

2006

Hydrological Processes

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Abstract:Good modelling practice requires the incorporation of uncertainty analysis into hydrologic/water quality models. The generalized likelihood uncertainty estimation procedure was used to evaluate the uncertainty in DRAINMOD predictions of daily, monthly, and yearly subsurface drain flow. A variance-based sensitivity analysis technique, the extended Fourier amplitude sensitivity test, was used to identify the main sources of prediction uncertainty. The analysis was conducted for the experimental drainage field at the Southeast Purdue Agricultural Center in Indiana. Six years of data were used and the uncertainties in eight model parameters were considered to analyse how uncertainties in input parameters propagate to model outputs. The width of 90% confidence interval bands of drain flow ranged from 0 to 0Ð6 cm day 1 for daily predictions, from 0 to 3Ð1 cm month 1 for the monthly predictions, and from 7Ð6 to 12Ð4 cm year 1 for yearly predictions. Annual drain flow predicted by DRAINMOD fell well within the 90% confidence bounds. Model results were most sensitive to the vertical saturated hydraulic conductivity of the restrictive layer and the lateral hydraulic conductivity of the deepest soil layer, followed by the lateral hydraulic conductivity of the top soil layer and surface micro-storage. Parameter interactions also contributed to the prediction uncertainty.

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Section: Introductionmentioning

confidence: 99%

Uncertainties in DRAINMOD predictions of subsurface drain flow for an Indiana silt loam using the GLUE methodology

Wang

Frankenberger

Kladivko

2006

Hydrological Processes

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“…It is a process-based, field-scale model widely used in North America to simulate outflows from subsurface tile drainage systems. It has been successfully used for different soil types and crop conditions (Helwig et al 2002;Sands et al 2003;Wang et al 2006). DRAINMOD is also reported to have a simpler calibration process (Sands et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Modeling agricultural land drainage under spring snowmelt conditions with DRAINMOD

MorrisonJ.

Chikhaoui

2014

Can. J. Civ. Eng.

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There are few computer models that can simulate winter freeze-thaw conditions and spring snowmelt hydrology for agricultural tile drained lands. DRAINMOD, which is used widely to simulate tile drainage flows, has not been extensively applied during colder periods in eastern Canada. This study analyzes the performance of DRAINMOD for surface runoff and subsurface drainage predictions in southern Quebec during spring snowmelt. The model was tested with five years of field data. DRAINMOD was found to be adequate in predicting spring snowmelt hydrology, except for subsurface drainage at one site. It was found that soil characteristics had a major influence on model performance.Résumé : Il existe peu de modèles informatiques qui simulent le gel/dégel d'hiver et l'hydrologie de la fonte des neiges printanière pour les terres agricoles ayant un réseau de drainage par canalisation souterraine. Le modèle DRAINMOD, largement utilisé pour simuler les écoulements des réseaux de drainage par canalisation souterraine, n'a pas été utilisé de manière extensive durant les périodes froides dans l'Est du Canada. La présente étude analyse le rendement de DRAINMOD à prédire de drainage sous la surface et l'écoulement de surface dans le Sud du Québec durant la fonte des neiges printanière. Le modèle a été validé en utilisant cinq années de données de terrain. DRAINMOD s'est révélé être adéquat pour prédire l'hydrologie de la fonte des neiges printanière, sauf pour le drainage sous la surface à un seul site. Les caractéristiques des sols influencent grandement le rendement du modèle. [Traduit par la Rédaction]

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“…In the Canadian provinces of Ontario and Quebec approximately 2 million hectares of cultivated lands are subsurface drained, mostly for corn (Zea mays L.) and soybean (Glycine max (L.) Merr.) production (Helwig et al 2002). With increasing concern associated with potential gaseous or leaching losses of added agrochemicals, there is a need for a noninvasive method to delineate the zone of influence of tile drainage systems.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a Geonics EM31-3RT probe to delineate hydrologic regimes in a tile-drained field

et al. 2010

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A world-wide need to use water resources efficiently necessitates more effective approaches to study water and contaminant transport in soil. This study examined the effectiveness of a multi-receiver electromagnetic induction probe (Geonics EM31-3RT) and modeling software (EMIGMA) to delineate hydrological regimes at field scale. The site consisted of 20 (15 m 9 15 m) tile-drained plots in Southern Ontario, Canada. Measurements of apparent soil electrical conductivity (EC a ) and magnetic susceptibility were obtained using the EM31-3RT in each plot at four distances (0, 2.25, 4.5 and 7.5 m) from the tile drain, and on three occasions (August 22, 26 and 29) in 2003. The EMIGMA was used to simulate a depth profile of electrical conductivity (EC s ) from EM31-3RT readings. The near-surface soil showed significantly (p \ 0.01) smaller EC a values than at greater depth. The EC a measurements made directly over the tile drains were smaller than those observed further away due to the presence of the drains. Cluster analysis indicated that the largest EC a values were at the lower elevations of the site related to the redistribution of moisture from higher elevations. The effect of tile drains and rainfall events on EC a was simulated well by EMIGMA, with smaller EC s values above the drains compared to further away, and showing an increase in EC s in the near-surface soil after rain. This study suggests that EM31-3RT measurements combined with EMIGMA simulation of electrical conductivity can provide valuable information on depth profiles of EC a and water dynamics in soil.

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Modelling nitrate losses in drainage water using DRAINMOD 5.0

Cited by 32 publications

References 12 publications

Uncertainties in DRAINMOD predictions of subsurface drain flow for an Indiana silt loam using the GLUE methodology

Uncertainties in DRAINMOD predictions of subsurface drain flow for an Indiana silt loam using the GLUE methodology

Modeling agricultural land drainage under spring snowmelt conditions with DRAINMOD

Evaluation of a Geonics EM31-3RT probe to delineate hydrologic regimes in a tile-drained field

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