Developing optimum subsurface drainage design procedures

Sands, Gary R.; Canelon, Dario; Talbot, Michael T.

doi:10.1080/09064710.2014.997788

Cited by 2 publications

(7 citation statements)

References 17 publications

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“…Subsurface drainage and NO 3 –N loads were measured for the years 2003–2008 at the University of Minnesota Southern Research and Outreach Center in Waseca, MN (44.077° N, 93.508° W). The Waseca site consisted of two drainage experimental plots with isolated subsurface drainage systems, with a depth equal to 0.9 m and spacing of 9 m, corresponding to a drainage intensity of 51 mm d −1 (Sands, Song, Busman, & Hansen, 2008). These plots were designed as replicates, with identical drainage spacing and depth and similar soils and topography.…”

Section: Methodsmentioning

confidence: 99%

“…During the calibration and validation period, fertilizer was applied based on average field practices for the period as outlined by Sands et al. (2008). Nitrogen fertilizer was applied as NH 4 7 d before planting corn, at a rate of 135 kg N ha −1 and injected at a depth of 15 cm.…”

Section: Methodsmentioning

confidence: 99%

“…For the years 2003–2008, daily subsurface flow for each plot was measured at 15‐min intervals using tipping buckets and a datalogger (CR10X, Campbell Scientific). For this same period, N concentrations were recorded on an event basis, using automatic, volume‐triggered water samplers (ISCO 6712, Teledyne ISCO; Sands et al., 2008). Continuous daily N load data for the years 2003–2008 were estimated, using the Army Corps of Engineers model FLUX (Walker, 1996), using the daily flow and sampled N concentration measurements.…”

Section: Methodsmentioning

confidence: 99%

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Predicting nitrate‐nitrogen loads in subsurface drainage as a function of fertilizer application rate and timing in southern Minnesota

et al. 2020

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Fertilizer management practices that focus on applying N fertilizer at the right rate and time have been proposed as a practical option to reduce NO 3-N losses from subsurface drained agricultural fields. In this study, regression equations were developed to predict NO 3-N losses for a corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] rotation in southern Minnesota, using fertilizer application timing and rate and growing season precipitation as inputs. The equations were developed using the results of the field-scale hydrologic and N simulation model DRAINMOD-NII, first calibrated and validated for three sites in southern Minnesota, and then run with different combinations of N fertilizer application rates and timings. Fertilizer timing treatments included a single application in the fall or spring and a split-spring application (half applied preplant and the remaining applied as sidedress). The predictive regression equations showed that the split fertilizer application timing could reduce regional N loads by 28% compared with spring or fall applications. Greater reductions were predicted when the split timing was combined with lower N fertilizer rates. Utilizing the split application timing and reducing the fertilizer rate by 10 and 30% showed 33 and 41% reductions in N loads, respectively, compared with current fertilizer management practices. Such reductions in fertilizer application rates could be achieved through the use of variable-rate nitrogen (VRN) fertilizer technologies. Results of this modeling study indicate that synchronizing fertilizer application with crop requirements and utilizing VRN technologies could significantly reduce N loads to surface waters in southern Minnesota.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Predicting nitrate‐nitrogen loads in subsurface drainage as a function of fertilizer application rate and timing in southern Minnesota

et al. 2020

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“…Models can accommodate climatic variability using historical weather data. Models run with long-term weather data have been used to evaluate drainage design (Cordeiro & Sri Ranjan, 2015;Sands et al, 2015), operation strategies of water table management systems (Ale et al, 2009) and fertilizer rates and application (Hashemi et al, 2020;Wilson et al, 2020) in order to suggest better alternatives. With increased climatic variability and uncertainty, there is a need to identify a cost-effective drainage system that maximizes crop yield and reduces nutrient loss.…”

Section: Introductionmentioning

confidence: 99%

“…DRAINMOD is one of the standard hydrologic models used for water management in poorly drained soils (Skaggs, 1978; Skaggs et al, 2012). The DRAINMOD model has been applied globally under different climates, water management systems, soil and crop types (Askar et al, 2020; Gaj & Madramootoo, 2017; Luo et al, 2010; Malota & Senzanje, 2015; Mohammadighavam & Kløve, 2016; Saadat et al, 2020; Sands et al, 2015; Singh et al, 2006; Wang et al, 2006; Yang, 2008; Youssef et al, 2018). In Canada, DRAINMOD has been mainly applied in humid and Atlantic regions (Dayyani et al, 2010; Golmohammadi et al, 2016; Morrison et al, 2014; Shukla et al, 1994; Singh et al, 1994; Yang et al, 2007) with limited application in the Canadian prairies with a semi‐arid climate, even though the region contributes significantly to Canadian agriculture.…”

Section: Introductionmentioning

confidence: 99%

DRAINMOD simulation of drain spacing impact on canola yield in heavy clay soils in the Canadian prairies

Ndulue

Ranjan

2022

Irrigation and Drainage

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Excess moisture within the root zone due to the shallow water table is a leading cause of crop loss in Manitoba. In this study, the ability of the DRAINMOD model to predict water table depth (WTD) in clayey soil was evaluated using measured field data from the 2019 and 2020 canola‐growing seasons in Arborg, Manitoba, Canada. Statistical analysis and graphical plots showed close agreement between the measured and simulated WTD with an overall coefficient of determination (R2), root mean square error (RMSE), mean average error (MAE) and mean bias error (MBE) of 0.93, 9.84 cm, 7.06 cm and −0.13 cm, respectively. Since the model simulation was deemed satisfactory, the model was run with 30‐year historical climate data to assess the impacts of different drain spacing on canola yield. Simulation results showed that the average surface runoff increased while average drainage and relative canola yield decreased as drain spacing increased. The simulation results suggest that long‐term average yield would be maximized by close drain spacing ≤ 15 m. Economic analysis showed that 10 m drain spacing would maximize the return on investment. The need for long‐term simulations to develop appropriate site‐specific water management strategies is demonstrated.

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Developing optimum subsurface drainage design procedures

Cited by 2 publications

References 17 publications

Predicting nitrate‐nitrogen loads in subsurface drainage as a function of fertilizer application rate and timing in southern Minnesota

Predicting nitrate‐nitrogen loads in subsurface drainage as a function of fertilizer application rate and timing in southern Minnesota

DRAINMOD simulation of drain spacing impact on canola yield in heavy clay soils in the Canadian prairies

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