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Modeling the Fate of Acetochlor and Terbuthylazine in the Field Using the Root Zone Water Quality Model

Q. L. Maa,b,*, A. Rahmanc, T. K. Jamesc, P. T. Hollandc, D. E. McNaughtonc, K. W. Rojasd and L. R. Ahujad

a Formerly with AgResearch, Hamilton, New Zealand
b Currently with Environmental & Turf Services, Inc., 11141 Georgia Ave., #208, Wheaton, MD 20902
c HortResearch, Ruakura Research Centre, P.B. 3123, Hamilton, New Zealand
d USDA-ARS, Great Plains Systems Research, P.O. Box E, Fort Collins, CO 80522



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Fig. 1. Experiment layout of the field study.

 


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Fig. 2. Measured and RZWQM-predicted soil water content distributions in the soil profile of a Hamilton clay loam.

 


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Fig. 3. Measured and RZWQM-predicted soil temperature at 10-cm depth from 1997 to 1999.

 


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Fig. 4. Measured and RZWQM-predicted persistence of acetochlor and terbuthylazine in the field. Predictions were performed using a linear instantaneous equilibrium (I-E) partitioning model with projected application rates and measured amounts on the day of application as initial amounts (revised predictions) and a two-site, equilibrium-kinetic (E-K) sorption model with optimized kinetic parameters. Fitting first-order kinetics to the measured data was also included.

 


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Fig. 5. Measured and RZWQM-predicted acetochlor and terbuthylazine concentrations in the soil profile at 2.5 and 1.5 kg a.i. ha–1 rate, respectively. Predictions were performed using a linear instantaneous equilibrium (I-E) partitioning model with measured amounts on the day of application as initial amounts and a two-site, equilibrium-kinetic (E-K) sorption model with optimized kinetic parameters.

 





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The SCI Journals Agronomy Journal Crop Science
Journal of Natural Resources
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Vadose Zone Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
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