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Modeling the impact of nitrogen fertilizer application and tile drain configuration on nitrate leaching using SWAT

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  • Moriasi, Daniel N.
  • Gowda, Prasanna H.
  • Arnold, Jeffrey G.
  • Mulla, David J.
  • Ale, Srinivasulu
  • Steiner, Jean L.

Abstract

Recently, the Soil and Water Assessment Tool (SWAT) was revised to improve the partitioning of runoff and tile drainage in poorly drained soils by modifying the algorithm that computes the soil moisture retention parameter. In this study, the Revised SWAT model was used to evaluate the sensitivity and long-term effects of different nitrogen (N) application rates and tile drain spacing (SDRAIN) and depths (DDRAIN) on nitrate-nitrogen (NO3-N) losses through tile drains. Monitoring data for the 1983–1996 period measured on three experimental plots on a poorly drained Webster clay loam soil (fine-loamy, mixed, superactive, mesic Typic Endoaquoll) in southern Minnesota was used. Sensitivity analysis covered the 1983–1996 period and long-term simulations were made for the 1915–1996 period. Sensitivity analysis showed a decrease in tile flow as DDRAIN decreased and/or SDRAIN increased. The predicted NO3-N losses in tile drain decreased by 16% (from 33.8 to 28.4kgha−1) and 14% (from 34.0 to 29.4kgha−1) when SDRAIN was increased by 122% (from 27 to 60m) and 40% (from 1.5 to 0.9m), respectively. However, NO3-N losses were decreased by 67% (from 33.8 to 11.1kgha−1) when N application rate was decreased by 50% (from 200 to 100kgha−1). Long-term simulations results indicated that much greater reductions in NO3-N losses can be achieved with reduction in the N application rates than with changing the tile drain spacing and depth. Reductions in NO3-N losses were consistent with the results reported using the Agricultural Drainage and Pesticide Transport (ADAPT) model, which was developed specifically for understanding effects of tile drainage on water quality in the Upper Midwest U.S. Overall, results from sensitivity analysis and long term simulation indicated that Revised SWAT can be used to adequately evaluate the effects of tile drain configurations on drainage and associated NO3-N losses.

Suggested Citation

  • Moriasi, Daniel N. & Gowda, Prasanna H. & Arnold, Jeffrey G. & Mulla, David J. & Ale, Srinivasulu & Steiner, Jean L., 2013. "Modeling the impact of nitrogen fertilizer application and tile drain configuration on nitrate leaching using SWAT," Agricultural Water Management, Elsevier, vol. 130(C), pages 36-43.
    • Handle: RePEc:eee:agiwat:v:130:y:2013:i:c:p:36-43
    DOI: 10.1016/j.agwat.2013.08.003
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    1. Ale, S. & Bowling, L.C. & Owens, P.R. & Brouder, S.M. & Frankenberger, J.R., 2012. "Development and application of a distributed modeling approach to assess the watershed-scale impact of drainage water management," Agricultural Water Management, Elsevier, vol. 107(C), pages 23-33.
    2. 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.
    3. Wang, X. & Mosley, C.T. & Frankenberger, J.R. & Kladivko, E.J., 2006. "Subsurface drain flow and crop yield predictions for different drain spacings using DRAINMOD," Agricultural Water Management, Elsevier, vol. 79(2), pages 113-136, January.
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    1. Haas, Marcelo B. & Guse, Björn & Pfannerstill, Matthias & Fohrer, Nicola, 2015. "Detection of dominant nitrate processes in ecohydrological modeling with temporal parameter sensitivity analysis," Ecological Modelling, Elsevier, vol. 314(C), pages 62-72.
    2. Ping Li & Nina Omani & Indrajeet Chaubey & Xiaomei Wei, 2017. "Evaluation of Drought Implications on Ecosystem Services: Freshwater Provisioning and Food Provisioning in the Upper Mississippi River Basin," IJERPH, MDPI, vol. 14(5), pages 1-23, May.
    3. Shailendra Singh & Soonho Hwang & Jeffrey G. Arnold & Rabin Bhattarai, 2023. "Evaluation of Agricultural BMPs’ Impact on Water Quality and Crop Production Using SWAT+ Model," Agriculture, MDPI, vol. 13(8), pages 1-16, July.
    4. Noshadi, Masoud & Jamshidi, Sajad, 2014. "Modification of water movement equations in the PRZM3 for simulating pesticides in soil profile," Agricultural Water Management, Elsevier, vol. 143(C), pages 38-47.

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