Irrigation and Drainage Systems

, Volume 9, Issue 3, pp 259–277 | Cite as

Simulation of drainage water quality with DRAINMOD

  • R. W. Skaggs
  • M. A. Brevé
  • A. T. Mohammad
  • J. E. Parsons
  • J. W. Gilliam
Article

Abstract

The design and management of drainage systems should consider impacts on drainage water quality and receiving streams, as well as on agricultural productivity. Two simulation models that are being developed to predict these impacts are briefly described. DRAINMOD-N uses hydrologic predictions by DRAINMOD, including daily soil water fluxes, in numerical solutions to the advective-dispersive-reactive (ADR) equation to describe movement and fate of NO3-N in shallow water table soils. DRAINMOD- CREAMS links DRAINMOD hydrology with submodels in CREAMS to predict effects of drainage treatment and controlled drainage losses of sediment and agricultural chemicals via surface runoff. The models were applied to analyze effects of drainage intensity on a Portsmouth sandy loam in eastern North Carolina. Depending on surface depressional storage, agricultural production objectives could be satisfied with drain spacings of 40 m or less. Predicted effects of drainage design and management on NO3-N losses were substantial. Increasing drain spacing from 20 m to 40 m reduced predicted NO3-N losses by over 45% for both good and poor surface drainage. Controlled drainage further decreases NO3-N losses. For example, predicted average annual NO3-N losses for a 30 m spacing were reduced 50% by controlled drainage. Splitting the application of nitrogen fertilizer, so that 100 kg/ha is applied at planting and 50 kg/ha is applied 37 days later, reduced average predicted NO3-N losses but by only 5 to 6%. This practice was more effective in years when heavy rainfall occurred directly after planting. In contrast to effects on NO3-N losses, reducing drainage intensity by increasing drain spacing or use of controlled drainage increased predicted losses of sediment and phosphorus (P). These losses were small for relatively flat conditions (0.2% slope), but may be large for even moderate slopes. For example, predicted sediment losses for a 2% slope exceeded 8000 kg/ha for a poorly drained condition (drain spacing of 100 m), but were reduced to 2100 kg/ha for a 20 m spacing. Agricultural production and water quality goals are sometimes in conflict. Our results indicate that simulation modeling can be used to examine the benefits of alternative designs and management strategies, from both production and environmental points-of-view. The utility of this methodology places additional emphasis on the need for field experiments to test the validity of the models over a range of soil, site and climatological conditions.

Key words

drainage controlled drainage DRAINMOD water table management model nitrogen phosphorus 

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References

  1. Baker J.L., Campbell K.L., Johnson H.P. & Hanway J.J. 1975. Nitrate, phosphorus and sulfate in subsurface drainage water.J. Environ. Qual., 4, 406–412.Google Scholar
  2. Bengtson R.L., Carter C.E., Morris H.F. & Bartkiewicz S.A. 1988. The influence of subsurface drainage practices on nitrogen and phosphorus losses in a warm, humid climate.Trans. ASAE, 31(3), 729–733.Google Scholar
  3. Bottcher A.B., Monke E.J. & Huggins L.F. 1981. Nutrient and sediment loadings from a subsurface drainage system.Trans. ASAE, 24(5), 1221–1226.Google Scholar
  4. Brevé M.A., Skaggs R.W., Kandil H., Parsons J.E. & Gilliam J.W. 1992. DRAINMOD-N: A nitrogen model for artificially drained soils. Proc. Sixth Int. Drainage Symposium, ASAE Publ. 13–92, 327–336.Google Scholar
  5. Brevé, M.A. 1994. Modeling the movement and fate of nitrogen in artificially drained soils. PhD Thesis, North Carolina State University, Raleigh, NC 27965-7625, 225 p.Google Scholar
  6. Davidson J.M., Graetz D.A., Suresh P., Rao C. & Selim H.M. 1978. Simulation of nitrogen movement, transformations, and uptake in plant root zone. U.S. Environ. Prot. Agency, Environ. Res. Lab., Athens, GA, USA, EPA-600/3-78-029.Google Scholar
  7. Evans R.O. & Skaggs R.W. 1993. Stress day index models to predict corn and soybean yield response to water table management. 15th Int. Congress ICID, The Hague, Workshop on Subsurface Drainage Simulation Models, ICID-CIID-CEMAGREF.Google Scholar
  8. Feddes R.A. 1987. Simulating water management and crop production with the SWACRO model. Proc. Third Int. Workshop on Land Drainage, The Ohio State Univ., Columbus, OH, USA, December 7–11, 1987, A-27-40.Google Scholar
  9. Foster G.R., Lane. L.J., Nowlin J.D., Laflen J.M. & Young R.A. 1980. A model to estimate sediment from field-sized areas. In: CREAMS: A field-scale model for chemicals, runoff, and erosion from agricultural management systems. U.S. Dept. Agric., Conserv. Res. Rept. 26., 36–64.Google Scholar
  10. Fouss J.L., Bengtson R.L. & Carter C.E. 1987. Simulating subsurface drainage in the lower Mississippi Valley with DRAINMOD.Trans. ASAE, 30(6), 1679–1688.Google Scholar
  11. Frere M.H., Ross J.D. & Lane L.J. 1980. The nutrient submodel. In: CREAMS: A field-scale model for chemicals, runoff, and erosion from agricultural management systems.U.S. Dept. Agric., Conserv. Res. Rept. 26., 65–87.Google Scholar
  12. Gilliam J.W. 1987. Drainage water quality and the environment. Proc. Fifth Nat. Drainage Symposium, ASAE Publ. 7–87, 19–28.Google Scholar
  13. Gilliam J.W., Skaggs R.W. & Weed S.B. 1979. Drainage control to diminish nitrate loss from agricultural fields.J. Environ. Qual., 8, 137–142.Google Scholar
  14. Istok J.D. & Kling G.F. 1983. Effect of subsurface drainage on runoff and sediment yield from an agricultural watershed in western Oregon, USA.J. Hydrology, 65, 279–291.Google Scholar
  15. Johnsson H., Bergstrom L. & Jansson, P.E. 1987. Simulated nitrogen dynamics and losses in a layered agricultural soil.Agric. Ecosys. Environ., 18, 333–356.Google Scholar
  16. Kandil H., Miller C.T. & Skaggs R.W. 1992. Modeling long-term solute transport in drained, unsaturated zones.Water Resour. Res., 28, 2797–2809.Google Scholar
  17. Kandil H., Skaggs R.W., Abdel-Dayem S., Aiad Y. & Gilliam J.W. 1993. DRAINMOD-S: A water management model for irrigated arid lands, crop yield and applications. 15th Int. Congress ICID, The Hague, Workshop on Subsurface Drainage Simulation Models, ICID-CIID-CEMAGREF, 257–275.Google Scholar
  18. Karvonen T. & Skaggs R.W. 1993. Comparison of different methods for computing drainage water quantity and quality. 15th Int. Congress ICID, The Hague, Workshop on Subsurface Drainage Simulation Models, ICID-CIID-CEMAGREF, 201–216.Google Scholar
  19. Knisel W.G. (Ed) 1980. CREAMS: A field-scale model for chemicals, runoff, and erosion from agricultural management systems. U.S. Dept. Agric., Conserv. Res. Rept. 26, 640 p.Google Scholar
  20. McMahon P.C., Mostaghimi S. & Wright F.S. 1987. Simulation of corn yield by a water management model for a coastal plain soil.Trans. ASAE, 31(3), 734–742.Google Scholar
  21. Parsons J.E., Skaggs R.W. & Gilliam J.W. 1989. Pesticide fate with DRAINMOD/CREAMS. Proc. CREAMS/GLEAMS Symp., Univ. of Georgia, Athens, GA, USA, Sep. 27–29, 1989, 123–135.Google Scholar
  22. Shaffer M.J., Halvorson A.D & Pierce F.J. 1991. Nitrate leaching and economic analysis package (NLEAP): model description and application. In: Managing nitrogen for groundwater quality and farm profitability. Soil Sci. Soc. Amer., Inc., Madison, WI, USA, 285–322.Google Scholar
  23. Skaggs R.W. 1978. A water management model for shallow water table soils. Water Resour. Res. Inst. Univ. North Carolina Rep. No. 134, Raleigh, NC, USA, 178 p.Google Scholar
  24. Skaggs R.W. 1982. Field evaluation of a water management simulation model.Trans. ASAE, 25(3), 666–674.Google Scholar
  25. Skaggs R.W. 1987. Design and management of drainage systems. Proc. Fifth Nat. Drainage Symposium, ASAE Publ. 7–87, 1–12.Google Scholar
  26. Skaggs R.W. 1991. Drainage. In: Modeling plant and soil systems. Agronomy Monograph No. 31, ASA-CSSA-SSSA, 205–243.Google Scholar
  27. Skaggs R.W. & Gilliam J.W. 1981. Effect of drainage system design and operation on nitrate transport.Trans. ASAE, 24(4), 929–934.Google Scholar
  28. Skaggs R.W, Nassehzadeh-Tabrizi A. & Foster G.R. 1982. Subsurface drainage effects on erosion.J. Soil Water Conserv., 37(3), 167–172.Google Scholar
  29. Skaggs R.W., Karvonen T. & Kandil H. 1991. Predicting soil water fluxes in drained lands. ASAE paper 91-2090, Am. Soc. Agric. Eng., St. Joseph, MI.Google Scholar
  30. Wright J., Shirmohammadi A., Magette W.L., Fouss J.L., Bengtson, R.L. & Parsons J.E. 1992. Water table management practice effects on water quality.Trans. ASAE, 35(3), 823–831.Google Scholar

Copyright information

© Kluwer Academic Publishers 1995

Authors and Affiliations

  • R. W. Skaggs
    • 1
  • M. A. Brevé
    • 1
  • A. T. Mohammad
    • 1
  • J. E. Parsons
    • 1
  • J. W. Gilliam
    • 1
  1. 1.Department of Biological and Agricultural EngineeringNorth Carolina State UniversityRaleighUSA

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