Robust quantitative techniques for validating pesticide transport models

Transactions of the American Society of Agricultural Engineers

Volumn 39, Issue 1, 1996, Pages 47-54

  Zacharias, S ^a,b   Heatwole, C D ^a,b,c   Coakley, C W ^c  

^a ASAE ^*

^b State University   (United States)

^c VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Model validation; Nonparametric statistics; Opus; Solute transport models; Variability

Indexed keywords

AGRICULTURAL ENGINEERING; PESTICIDES; STATISTICAL METHODS;

PESTICIDE TRANSPORT;

SOIL POLLUTION;

MODEL VALIDATION; PESTICIDE TRANSPORT MODEL; QUANTITATIVE METHOD; SOLUTE TRANSPORT;

EID: 0029659202     PISSN: 00012351     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (27)

1. Balci, O. 1987. Credibility assessment of simulation results: The state of the art. In Proc. Conf. on Methodology and Validation, 1987, ed. O. Balci, 19-25. San Diego, Calif.: Soc. of Computer Simulation.
2. Clemente, R. S. and S. O. Prasher. 1992. Field validation of PESTFADE in Eastern Canada. ASAE Paper No. 92-2046. St. Joseph, Mich.: ASAE.
3. Donigian Jr., A. S. and P. S. C. Rao. 1990. Selection, application, and validation of environmental fate models. In Proc. Int. Symp. on Water Quality Modeling of Agricultural Non-Point Sources, Part II, ed. D. G. DeCoursey, 557-600. Washington, D.C.: USDA.
4. Donoho, D. L. and P. J. Huber. 1983. The notion of breakdown point. In A Festschrift fur Erich Lehmann, eds. P. J. Bickel, K. A. Doksum and J. L. Hodges Jr., 157-184. Belmont, Calif.: Wadsworth.
5. Efron, B. 1979. Bootstrap methods: Another look at the jackknife. Ann. Statist. 7(1):1-26.
6. Gibbons, J. D. 1985. Nonparametric Methods for Quantitative Analysis, 2nd Ed. Columbus, Ohio: Am. Sciences Press Inc.
7. Haan, C. T., B. Allred, D. E. Storm, G. J. Sabbagh and S. Prabhu. 1995. Statistical procedure for evaluating hydrologic/water quality models. Transactions of the ASAE 38(3):725-733.
8. Hassanizadeh, S. M. and J. Carrera. 1992. Editorial - Special edition on model validation. Advances in Water Resources 15(1):1-3.
9. Heatwole, C. D., S. Zacharias, S. Mostaghimi, T. A. Dillaha and R. W. Young. 1992. Fate and transport of pesticides in a Virginia Coastal Plain soil. Bull. 175. Blacksburg: Virginia Water Resources Research Center.
10. Hettmansperger, T. P. 1991. Statistical Inference Based on Ranks, 2nd Ed. Malabar, Fla.: Krieger Publishing Company.
11. Jones, R. L. and P. S. C. Rao. 1988. Reflections on validation and applications of unsaturated zone models. In Proc. Int. Conf. and Workshop on Validation of Flow and Transport Models for the Unsaturated Zone, eds. P. J. Wierenga and D. Bachelet, 197-205. Las Cruces: New Mexico State Univ.
12. Khamis, H. J. 1992. The δ-corrected Kolmogorov-Smirnov test with estimated parameters. Nonparametric Statistics 2(1):17-27.
13. Kumar, D. and C. D. Heatwole. 1995. Probabilistic procedures for evaluating nonpoint source pollution models. In Proc. Int. Symp. on Water Quality Modeling, ed. C. D. Heatwole, 164-176. St. Joseph, Mich.: ASAE.
14. Leonard, R. A. and W. G. Knisel. 1990. Can pesticide transport models be validated using field data: Now and in the future? Dept. Pub. No. 3. Tifton, Ga.: Agricultural Engineering Dept., Univ. of Georgia.
15. Loague, K. M. and R. E. Green. 1991. Statistical and graphical methods for evaluating solute transport models: Overview and application. J. Contam. Hydrol. 7(1/2):51-73.
16. Luis, S. J. and D. McLaughlin. 1992. A stochastic approach to model validation. Advances In Water Resources 15(1):15-32.
17. Parrish, R. S. and C. N. Smith. 1990. A method for testing whether model predictions fall within a prescribed factor of true values, with an application to pesticide leaching. Ecol. Modelling 51(1/2):59-72.
18. Parrish, R. S, C. N. Smith and F. K. Fong. 1992. Tests of the pesticide root zone model and the aggregate model for transport and transformation of aldicarb, metolachlor, and bromide. J. Environ. Qual. 21(4):685-697.
19. Pennell, K. D., A. G. Hornsby, R. E. Jessup and P. S. C. Rao. 1990. Evaluation of five simulation models for predicting aldicarb and bromide behavior under field conditions. Water Resources Research 26(11):2679-2693.
20. Rosenberger, J. L. and M. Gasko. 1983. Comparing location estimators: Trimmed means, medians, and trimean. In Understanding Robust and Exploratory Data Analysis, eds. D. C. Hoaglin, F. Mosteller and J. W. Tukey, 297-338. New York: John Wiley & Sons Inc.
21. Rousseeuw, P. J. and A. M. Leroy. 1987. Robust Regression and Outlier Detection. New York: John Wiley & Sons Inc.
22. Shapiro, S. S. and M. B. Wilk. 1965. An analysis of variance test for normality (complete samples). Biometrika 52(1/2):591-611.
23. Smith, R. E. 1992. Opus, An Integrated Simulation Model for Transport of Nonpoint-source Pollutants at the Field Scale: Vol. I, Documentation. ARS-98. Ft. Collins, Colo.: USDA-ARS
24. Stephens, M. A. 1974. EDF statistics for goodness-of-fit and some comparisons. J. Am. Statist. Assoc. 69:730-737.
25. Zacharias, S. and C. D. Heatwole. 1993. Predicting tillage treatment effects on pesticide transport: A validation study. ASAE Paper No. 93-2592. St. Joseph, Mich.: ASAE.
26. _. 1994. Evaluation of GLEAMS and PRZM for predicting pesticide leaching under field conditions. Transactions of the ASAE 37(2):439-451.
27. Zacharias, S., C. D. Heatwole, S. Mostaghimi and T. A. Dillaha. 1991. Tillage effects on fate and transport of pesticides in a Coastal Plain soil - II. Leaching. ASAE Paper No. 91-2544. St. Joseph, Mich.: ASAE.