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Combining Computer Simulation with Physical Simulation: An Attempt to Validate Turf Runoff Models

Published online by Cambridge University Press:  12 June 2017

James C. Lin  and
Robert L. Graney
James C. Lin
Affiliation:
Ecological Effects Section, Environmental Research, Agriculture Division, Miles, Inc., 17745 South Metcalf, Stilwell, KS 66085
Robert L. Graney
Affiliation:
Ecological Effects Section, Environmental Research, Agriculture Division, Miles, Inc., 17745 South Metcalf, Stilwell, KS 66085
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Abstract

Predicting the off-target movement of agrochemicals applied to turf is an essential component for assessing risk to aquatic environments. For surface transport, a fully validated model does not exist. Such a model is required to make cost effective risk assessments and regulatory evaluations. To address this deficiency, a turf model validation program is outlined in this paper. The effect of turf characteristics on the fate and movement of pesticides is presented followed by the discussion of the selection for a proper turf runoff model. The design and implementation of small plot runoff studies and their usefulness in model validation are discussed. The procedures of model calibration and model verification are explained for model validation purpose.

Keywords

Turf runoff modelmodel calibrationmodel validation
Type
Symposium
Information
Weed Technology , Volume 6 , Issue 3 , September 1992 , pp. 688 - 695
Copyright
Copyright © 1990 by the Weed Science Society of America 

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References

Literature Cited

1. Arnold, J. G. and Williams, J. R. 1987. Validation of SWRRB-Simulator for Water Resources in Rural Basins. J. Water Resources Planning and Management, 113:243–256. Am. Soc. Civil Eng. Google Scholar
2. Beard, J. B. 1973. Turfgrass: Science and Culture. Prentice-Hall, Inc., Englewood Cliffs, NJ. 658 p.Google Scholar
3. Carsel, R. F., Smith, C. N., Mulkey, L. A., Dean, J. D., and Jowise, P. P. 1984. User's Manual for the Pesticide Root Zone Model (PRZM): Release 1. EPA-600/3-84-109. U.S. EPA, Environmental Research Laboratory, Athens, GA. 216 p.Google Scholar
4. Dean, J. D., Huyakorn, P. S., Donigian, A. S. Jr., Voos, K. A., Shanz, R. W., and Meeks, Y. J. 1986. Risk of Unsaturated/Saturated Transport and Transformation of Chemical Concentrations (RUSTIC). Volume 1: Theory and code verification. EPA-60Q/3-89-048a. U.S. EPA Environmental Research Laboratory, Athens, GA. 202 p.Google Scholar
5. George, O., Burt, J., and Solomon, R. 1990. The use of surface runoff models for water quality decisions-A user's perspective. In DeCoursey, D. G., ed. Proc. Int. Symp. Water Quality Modeling of Agricultural Non-Point Sources. June 19–23, 1988, Utah State University, Logan, UT.Google Scholar
6. Hamilton, G. W. 1990. Infiltration Rates on Experimental and Residence Lawns. M.S. Thesis. Pennsylvania State University, College of Agriculture, State College, PA.Google Scholar
7. Hurto, K. A., Turgeon, A. J., and Spomer, L. A. 1980. Physical characteristics of thatch as a turf grass growing medium. Agron. J. 72:165–167.Google Scholar
8. Johnson, E. L. 1982. Risk assessment in an administrative agency. Am. Stat. 36:232–239.Google Scholar
9. Leonard, R. A., Knisel, W. G., and Still, D. A. 1987. GLEAMS: Groundwater Loading Effects of Agricultural Management Systems. Trans. Am. Soc. Agric. Eng. 30(5):1403–1418.Google Scholar
10. Niemczyk, H. D. and Krueger, H. R. 1982. Binding of insecticides on turfgrass thatch. p. 61–63 in Niemczyk, H. D. and Joyner, B. G., ed. Advances in Turfgrass Entomology. Hammer Graphics, Inc., Piqua, OH.Google Scholar
11. Niemczyk, H. D. and Chapman, R. A. 1987. Evidence of enhanced degradation of isofenphos in turfgrass thatch and soil. J. Econ. Entomol. 80:880–882.CrossRefGoogle Scholar
12. Smith, R. E. and Williams, J. R. 1980. Simulation for surface water hydrology. In Knisel, W. G., ed. CREAMS: A Field Scale Model for Chemicals, Runoff, and Erosion from Agricultural Management Systems, U.S. Dep. Agric., Conserv. Res. Rep. 26. Washington, DC.Google Scholar
13. Soil Conservation Service. 1985. National Engineering Handbook-Section 4, Hydrology. SCS/ENG/NEH-4-2. U.S. Dep. Agric., Washington, DC.Google Scholar
14. Tayor, D. H. and Blake, G. R. 1982. The effect of turfgrass thatch on water infiltration rates. Soil Sci. Soc. Am. J. 46:616–619.Google Scholar
15. Urban, D. J. and Cook, N. J. 1986. Hazard evaluation division, standard evaluation procedure: ecological risk assessment. U.S. Environ. Prot. Agency Report EPA/540/9-85/001. Washington, DC.Google Scholar
16. Watschke, T. L. and Mumma, R. O. 1989. The effect of nutrients and pesticides applied to turf on the quality of runoff and percolating water. Environmental Resources Research Institute, Pennsylvania State University, State College, PA.Google Scholar
17. Wauchope, R. D., Williams, R. G., and Marti, L. R. 1990. Runoff of sulfometuron-methyl and cyanazine from small plots: effects of formulation and grass cover. J. Environ. Q. 19:119–125.Google Scholar
18. Williams, J. R., Nicks, A. D., and Arnold, J. G. 1985. Simulator for water resources in rural basins. J. Hydrol. Eng. Am. Soc. Civil Eng. 111(6):970–986.Google Scholar