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Microscale Variability of Atrazine and Chloride Leaching Under Field Conditions

Published online by Cambridge University Press:  12 June 2017

Guy A. Chammas ,
John L. Hutson ,
Jonathan J. Hart  and
Joseph M. DiTomaso
Guy A. Chammas
Affiliation:
Department of Soil, Crop, and Atmospheric Sciences, Bradfield and Emerson Halls, Cornell University, Ithaca, NY 14853 Department of Soil, Water, and Environmental Science, 429 Shantz Building #38, University of Arizona, Tucson, AZ 85721
John L. Hutson
Affiliation:
Department of Soil, Crop, and Atmospheric Sciences, Bradfield and Emerson Halls, Cornell University, Ithaca, NY 14853
Jonathan J. Hart
Affiliation:
Department of Soil, Crop, and Atmospheric Sciences, Bradfield and Emerson Halls, Cornell University, Ithaca, NY 14853 USDA-ARS, Cornell University, Ithaca, NY 14853
Joseph M. DiTomaso
Affiliation:
Department of Soil, Crop, and Atmospheric Sciences, Bradfield and Emerson Halls, Cornell University, Ithaca, NY 14853 Weed Science Program, Robbins Hall, University of California-Davis, Davis, CA 95616
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Abstract

Pesticide leaching experiments using widely spaced sampling sites may not adequately characterize chemical leaching behavior such as nonuniform flow between sampling points. We conducted this study to determine the three-dimensional variability of atrazine and chloride movement within a small volume of soil (2,700 cm1) under field conditions. A 1-m2area of Williamson silt loam (coarse-silty, mixed, mesic, Typic Fragiochrept) was sprayed uniformly with atrazine (1.1 kg ai/ha) and chloride (80 kg/ha). We used the Leaching Estimation and Chemistry Model (LEACHM) to simulate chemical movement. After 6.5 cm of rainfall during a 29-d period, we sampled 36 squares (5 by 5 cm) in the central 30- by 30-cm portion of the treated area at six depth increments (0 to 2, 2 to 5, 5 to 10, 10 to 15, 15 to 21, and 21 to 30 cm) and determined atrazine and Cl−concentrations. We recovered 26% of the applied atrazine and 138% of the applied chloride. Low atrazine recovery may have been due to leaching beyond 30 cm and/or degradation while excess chloride recovery is attributed to high background concentrations. Coefficients of variation (CVs) for atrazine significantly increased with depth and ranged from 26 to 353%, while CVs for Cl−were independent of depth and ranged from 32 to 66%. Derived atrazine concentration isograms illustrated highly nonuniform herbicide transport. Although LEACHM overestimated atrazine movement in the upper 15 cm, it was fairly accurate in the lower 15 cm. The overall trend in Cl−flow was adequately predicted, even though the predicted Cl−concentrations were underestimated. LEACHM could not accurately predict nonuniform flow or the variability in solute concentrations between points. However, its prediction of the atrazine center of mass (about 4.7 cm) agreed well with the derived isograms. These findings demonstrate that localized nonideal solute transport may be missed in larger sampling schemes and in simulation models.

Keywords

Herbicide movementnonuniform solute transportBD, bulk densityCEC, cation exchange capacityCV, coefficient of variationLEACHM, Leaching Estimation and Chemistry ModelOC, organic carbonOM, organic matterpKa, dissociation constantSD, standard deviation
Type
Research
Information
Weed Technology , Volume 11 , Issue 1 , March 1997 , pp. 98 - 104
Copyright
Copyright © 1997 by the Weed Science Society of America 

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References

Literature Cited

Ahrens, W. H., ed. 1994. Herbicide Handbook. 7th ed. Champaign, IL: Weed Science Society of America. 352 p.Google Scholar
Biggar, J. W., and Nielsen, D. R. 1976. Spatial variability of the leaching characteristics of a field soil. Water Resour. Res. 12:78–84.CrossRefGoogle Scholar
Blake, G. R., and Hartge, K. H. 1986. Bulk density. In Klute, A., ed. Methods of Soil Analysis. Part 1. 2nd ed. Agronomy Monograph 9. Madison, WI: American Society of Agronomy and Soil Science Society of America. pp. 363–375.Google Scholar
DiTomaso, J. M., and Linscott, D. L. 1991. The nature, mode of action, and toxicology of herbicides. In Pimentel, D., ed. Handbook of Pest Management in Agriculture. Volume 2, 2nd ed. Boca Raton, FL: CRC Press. pp. 523–569.Google Scholar
Hallberg, G. R., 1986. Overview of agricultural chemicals in ground water. Proceedings of the agricultural impacts on ground water—a conference; 1986, 11–13 08; Omaha, NE. Dublin, OH: National Water Well Association. 685 p.Google Scholar
Hornsby, A. G., Rao, P.S.C., and Jones, R. L. 1990. Fate of aldicarb in the unsaturated zone beneath a citrus grove. Water Resour. Res. 26:2287–2302.CrossRefGoogle Scholar
Jury, W. A., Elabd, H., and Resketo, M. 1986. Field study of napropamide movement through unsaturated soil. Water Resour. Res. 22:749–755.CrossRefGoogle Scholar
Jury, W. A., and Stolzy, L. H. 1982. A field test of the transfer function model for predicting solute transport. Water Resour. Res. 18:369–375.CrossRefGoogle Scholar
Knüsli, E., 1970. History of the development of triazine herbicides. Residue Rev. 32:1–9.Google Scholar
Ohmicron Environmental Diagnostics. 1994. Atrazine RaPID Assay Kit Package Insert. Newtown, PA. 2 p.Google Scholar
Pennell, K. D., Hornsby, A. G., Jessup, R. E., and Rao, P.S.C. 1990. Evaluation of live simulation models for predicting aldicarb and bromide behavior under field conditions. Water Resour. Res. 26:2679–2693.Google Scholar
Rambow, J., and Lennartz, B. 1993. Laboratory method for studying pesticide dissipation in the vadose zone. Soil Sci. Soc. Am. J. 57:1476–1479.CrossRefGoogle Scholar
Robinson, E. L., 1976. Herbicide distribution in a block of soil. Weed Sci. 24: 420–421.CrossRefGoogle Scholar
Rodgers, E. G., 1968. Leaching of seven s-triazines. Weed Sci. 16:117–120.CrossRefGoogle Scholar
Shipitalo, M. J., Edwards, W. M., Dick, W. A., and Owens, L. B. 1990. Initial storm effects on macropore transport of surface-applied chemicals in no-till soil. Soil Sci. Soc. Am. J. 54:1530–1536.CrossRefGoogle Scholar
Sophocleous, M., Townsend, M. A., and Whittemore, D. O. 1990. Movement and fate of atrazine and bromide in central Kansas croplands. J. Hydrol. 115:115–137.CrossRefGoogle Scholar
Taylor, A. W., Freeman, H. P., and Edwards, W. M. 1971. Sample variability and the measurement of dieldrin content of a soil in the field. J. Agric. Food Chem. 19:832–836.CrossRefGoogle ScholarPubMed
Thomas, G. W., and Phillips, R. E. 1979. Consequences of water movement in macropores. J. Environ. Qual. 8:149–152.CrossRefGoogle Scholar
Thurman, E. M., Goolsby, D. A., Meyer, M. T., and Kolpln, D. W. 1991. Herbicides in surface waters of the midwestern United States: the effect of spring flush. Environ. Sci. Technol. 25:1794–1796.CrossRefGoogle Scholar
Wagenet, R. J., and Hutson, J. L. 1987. LEACHM: Leaching Estimation And CHemistry Model: A Process Based Model of Water and Solute Movement, Transformations, Plant Uptake, and Chemical Reactions in the Unsaturated Zone. Continuum Volume 2. Ithaca, NY: Water Resources Institute, Cornell University. 148 p.Google Scholar
Wauchope, R. D., Chandler, J. M., and Savage, K. E. 1977. Soil sample variation and herbicide incorporation uniformity. Weed Sci. 25:193–196.CrossRefGoogle Scholar