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GLEAMS, Opus, PRZM2ß, and PRZM3 Simulations Compared with Measured Atrazine Runoff

Qingli Maa,c,d, James E. Hookb, R.Don Wauchopec, Clyde C. Dowlerc, A.W. Johnsonc, Jessica G. Davise, Gary J. Gaschob, Clint C. Trumand, Harold R. Sumnerc and Lawrence D. Chandlerf

a USDA-ARS, U.S. Salinity Lab, Soil Physics and Pesticide Research Unit, 450 West Big Springs Rd., Riverside, CA 92507 USA
b Dep. of Crop and Soil Sciences, Univ. of Georgia, P.O. Box 748, Tifton, GA 31793-0748 USA
c USDA-ARS Insect Biology and Pest Management Research Unit, Tifton, GA USA
d USDA-ARS Southeast Watershed Research Unit, P.O. Box 748, Tifton, GA 31793-0748 USA
e Dep. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO 80524 USA
f USDA-ARS National Grain Insect Research Lab., Brookings, SD 57006-9803 USA



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Fig. 1 Daily natural rainfalls for the experimental site for 1992 and 1993

 


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Fig. 2 Measured and predicted surface water runoff by GLEAMS, Opus, and PRZM3 models during 2 yr of corn growing seasons from two mesoplots on the Tifton loamy sand from 1992 to 1993

 


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Fig. 3 Effects of the `special actions' options on surface water runoff predictions by PRZM3

 


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Fig. 4 Measured and predicted atrazine concentrations in runoff solution by GLEAMS, Opus, PRZM2ß and PRZM3 during 2 yr of corn growing seasons from two mesoplots on the Tifton loamy sand from 1992 to 1993

 


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Fig. 5 Measured and predicted atrazine mass losses in runoff solution by GLEAMS, Opus, PRZM2ß and PRZM3 during 2 yr of corn growing seasons from two mesoplots on the Tifton loamy sand from 1992 to 1993

 


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Fig. 6 Measured and Opus-predicted atrazine concentrations in runoff solution with equilibrium adsorption submodel as compared with uncalibrated and calibrated kinetic sorption submodel

 





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