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DRAINMOD modeling framework for simulating controlled drainage effect on lateral seepage from artificially drained fields

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  • Youssef, Mohamed A.
  • Liu, Yu
  • Chescheir, George M.
  • Skaggs, R. Wayne
  • Negm, Lamyaa M.

Abstract

We demonstrated a DRAINMOD modeling framework to predict controlled drainage (CD) effect on the fate of water in artificially drained agricultural fields, which is key for determining the water quality benefits of the practice. To demonstrate this modeling framework, DRAINMOD simulated the hydrology of a subsurface drained grass field in Eastern North Carolina, U.S. under both free drainage (FD) and CD. Three scenarios were simulated for each water management: no lateral seepage (LS) and LS with constant and dynamic hydraulic head (Hr). For each scenario, predicted water table depth (WTD) and subsurface drainage were compared to observed values using Mean Absolute Error, Nash-Sutcliffe Efficiency, and Normalized Percent Error. Predicted water balance components for different scenarios were also investigated. Results clearly showed that LS was a significant component of the water balance for CD. Model predictions showed that 96% of the reduction in subsurface drainage due to CD could be attributed to LS (33.5 cm yr−1). The large values of LS predicted by the model were attributed to the presence of a permeable sandy layer in the soil profile, the shallow management depth of the drain outlet, and the small size of the experimental field plots. Agreement between predicted and observed WTD and subsurface drainage ranged from acceptable to excellent for FD with and without considering LS. In contrast, DRAINMOD simulations for CD yielded acceptable predictions only for the scenario considering LS with dynamic Hr. This study demonstrated the power of process-based simulation models, such as DRAINMOD, for interpreting and explaining data of experimental studies and underscored the importance of using a proper model calibration strategy for yielding reliable predictions. This study highlights the need for well-coordinated experimental and modeling research to further investigate how seepage affect CD performance for reducing drainage flow and nitrogen losses from artificially drained agricultural fields.

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  • Youssef, Mohamed A. & Liu, Yu & Chescheir, George M. & Skaggs, R. Wayne & Negm, Lamyaa M., 2021. "DRAINMOD modeling framework for simulating controlled drainage effect on lateral seepage from artificially drained fields," Agricultural Water Management, Elsevier, vol. 254(C).
    • Handle: RePEc:eee:agiwat:v:254:y:2021:i:c:s0378377421002092
    DOI: 10.1016/j.agwat.2021.106944
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    References listed on IDEAS

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    1. Luo, W. & Sands, G.R. & Youssef, M. & Strock, J.S. & Song, I. & Canelon, D., 2010. "Modeling the impact of alternative drainage practices in the northern Corn-belt with DRAINMOD-NII," Agricultural Water Management, Elsevier, vol. 97(3), pages 389-398, March.
    2. Ale, S. & Bowling, L.C. & Brouder, S.M. & Frankenberger, J.R. & Youssef, M.A., 2009. "Simulated effect of drainage water management operational strategy on hydrology and crop yield for Drummer soil in the Midwestern United States," Agricultural Water Management, Elsevier, vol. 96(4), pages 653-665, April.
    3. Youssef, Mohamed A. & Abdelbaki, Ahmed M. & Negm, Lamyaa M. & Skaggs, R.Wayne & Thorp, Kelly R. & Jaynes, Dan B., 2018. "DRAINMOD-simulated performance of controlled drainage across the U.S. Midwest," Agricultural Water Management, Elsevier, vol. 197(C), pages 54-66.
    4. Liu, Yu & Youssef, Mohamed A. & Chescheir, George M. & Appelboom, Timothy W. & Poole, Chad A. & Arellano, Consuelo & Skaggs, R. Wayne, 2019. "Effect of controlled drainage on nitrogen fate and transport for a subsurface drained grass field receiving liquid swine lagoon effluent," Agricultural Water Management, Elsevier, vol. 217(C), pages 440-451.
    5. Negm, Lamyaa M. & Youssef, Mohamed A. & Jaynes, Dan B., 2017. "Evaluation of DRAINMOD-DSSAT simulated effects of controlled drainage on crop yield, water balance, and water quality for a corn-soybean cropping system in central Iowa," Agricultural Water Management, Elsevier, vol. 187(C), pages 57-68.
    6. Negm, L.M. & Youssef, M.A. & Skaggs, R.W. & Chescheir, G.M. & Jones, J., 2014. "DRAINMOD–DSSAT model for simulating hydrology, soil carbon and nitrogen dynamics, and crop growth for drained crop land," Agricultural Water Management, Elsevier, vol. 137(C), pages 30-45.
    7. Salazar, Osvaldo & Wesström, Ingrid & Joel, Abraham & Youssef, Mohamed A., 2013. "Application of an integrated framework for estimating nitrate loads from a coastal watershed in south-east Sweden," Agricultural Water Management, Elsevier, vol. 129(C), pages 56-68.
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    Cited by:

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    3. Miller, Samuel A. & Witter, Jonathan D. & Lyon, Steve W., 2022. "The impact of automated drainage water management on groundwater, soil moisture, and tile outlet discharge following storm events," Agricultural Water Management, Elsevier, vol. 272(C).

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