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Published online 1 July 1999
Published in Agron J 91:597-606 (1999)
© 1999 American Society of Agronomy
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Agronomy Journal 91:597-606 (1999)
© 1999 American Society of Agronomy

SOIL & WATER CONSERVATION

LEACHN Simulations of Nitrogen Dynamics and Water Drainage in an Ultisol

Alan D. Johnsona, Miguel L. Cabreraa, Daniel V. McCrackenb and David E. Radcliffea

a Crop & Soil Sciences, Plant Sciences Bldg., Univ. of Georgia, Athens, GA 30602 USA
b Crop & Soil Sciences, Georgia Station, Griffin, GA 30223 USA

mcabrera{at}arches.uga.edu

Received for publication September 27, 1997. Nitrate leached from soils can contaminate drinking water and pose a health risk at concentrations > 10 mg N L-1. Computer models may be useful management tools for estimating NO3 leaching, but they need to be calibrated and validated before use. The objective of this work was to calibrate and validate LEACHN to simulate soil NO3, soil NH4, water drainage, and NO3 leaching in a Cecil sandy loam (fine, kaolinitic, thermic Typic Kanhapludults). The calibration was done by determining rate constants and parameters under laboratory conditions. The validation data was obtained from a two-year study with conventionally tilled corn (Zea mays L.) during summer and either a rye (Secale cereale L.) cover crop or fallow conditions during winter. Water drainage collected by tiles was automatically measured, subsampled, and analyzed for inorganic N concentrations. During the cold season, LEACHN underestimated soil NH4 and NO3 in at least half of the cases. During the warm season, the model correctly estimated soil NO3 75% of the time, but it overestimated soil NH4 in an equal 75% of the cases. Also, LEACHN overestimated cumulative drainage and leached NO3 at least 50% of the time during both cold- and warm-season periods. These results suggest that the soil hydraulic properties and N mineralization rate constants determined under laboratory conditions did not apply to field conditions. Also, results obtained by changing rate constants for N transformations indicate that LEACHN was not properly simulating N immobilization from fertilizer N, or nitrification under dry conditions.

Abbreviations: CI, confidence interval • RMSE, root mean square error




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