Global sensitivity analyses of three pesticide leaching models using a Monte-Carlo approach

Journal of Environmental Quality

Volumn 28, Issue 4, 1999, Pages 1290-1297

  Soutter, Marc ^a   Musy, André ^a  

^a EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON; COMPUTER SIMULATION; CONTAMINATION; GROUNDWATER; LEACHING; MONTE CARLO METHODS; PROBABILITY DENSITY FUNCTION; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; SOILS;

GROUNDWATER CONTAMINATION; PESTICIDE LEACHING MODEL;

PESTICIDES;

CARBON; GROUND WATER; PESTICIDE;

ARTICLE; DECOMPOSITION; LEACHING; PARTITION COEFFICIENT; REGRESSION ANALYSIS; SOIL POLLUTION; SYSTEM ANALYSIS; WATER CONTAMINATION;

EID: 0032801141     PISSN: 00472425     EISSN: None     Source Type: Journal    
DOI: 10.2134/jeq1999.00472425002800040033x     Document Type: Article

References (32)

1. Addiscott, T.M. 1977. A simple computer model for leaching in structured soils. J. Soil Sci. 28:554-563.
2. Ahn, H. 1996. Sensitivity for correlated input variables and propagated errors in evapotranspiration estimates from a humid region. Water Resourc. Res. 32(8):2507-2516.
3. Baveye, P., M. Soutter, C. Boast, and H. Gauch. 1999. The modeling process and model validation in agricultural and environmental sciences. Adv. Agron. (In press.)
4. Boesten, J.J.T.I. 1991. Sensitivity analysis of a mathematical model for pesticide leaching to groundwater. Pesticide Sci. 31(3):375-388.
5. Cukier, R.I., H.B. Levine, and K.E. Shuler. 1978. Nonlinear sensitivity analysis of multiparameter model systems. J. Comp. Physics 26: 1-42.
6. Downing, D.J., R.H. Gardner, and F.O. Hoffman. 1985. An examination of response-surface methodologies for uncertainty analysis in assessment models. Technometrics 27(2):151-163.
7. Dunker, A.M. 1981. Efficient calculation of sensitivity coefficients for complex atmospheric models. Atmos. Environ. 15:1155-1161.
8. Fontaine, D.D., P.L. Havens, G.E. Blau, and P.M. Tillotson. 1992. The role of sensitivity analysis in groundwater risk modeling for pesticides. Weed Technol. 6:716-724.
9. Giambelluca, T.W., K. Loague, R.E. Green, and M.A. Nullet. 1996. Uncertainty in recharge estimation: Impact on groundwater vulnerability assessments for the Pearl Harbor Basin, O'ahu, Hawaii, USA. J. Contam. Hydrol. 23:85-112.
10. Holden, N.M., A.J. Rook, and D. Scholefield. 1996. Testing the performance of a one-dimensional solute transport model (LEACHC) using response surface methodology. Geoderma 69(3):157-174.
11. Hutson, J.L., and R.J. Wagenet. 1992. Leaching estimation and chemistry model. Version 3. User manual. Cornell Univ., Ithaca, NY.
12. Iman, R.L. 1992. Uncertainty and sensitivity analysis for computer modeling applications. Applications. Reliability technology, ASME Aerospace Div. AD v.28. ASME, New York, 153-168.
13. Iman, R.L., and W.J. Conover. 1982. A distribution-free approach to inducing rank correlation among input variables. Commun. Statist.-Simula. Comput. 11(3):311-334.
14. Kabala, Z.J., and P.C.D. Milly. 1990. Sensitivity analysis of flow in unsaturated heterogeneous porous media: Theory, numerical model, and its verification. Water Resour. Res. 26(4):593-610.
15. Khan, M.A., and T. Liang. 1989. Mapping pesticide contamination potential. Environ. Manage. 13:233-242.
16. Kickert, R.N. 1984. Sensitivity of agricultural ecological system models and implications for vulnerability to toxic chemicals. Environ. Toxicol. Chem. 3(2):309-324.
17. Khuri, A.I., and J.A. Cornell. 1987. Response surfaces. Design and analysis. Marcel Dekker, ASQC Quality Press, New York.
18. Loague, K., R.E. Green, T.W. Giambelluca, T. Liang, and R.S. Yost. 1990. Impact of uncertainty in soil, climatic, and chemical information in a pesticide leaching assessment. J. Contam. Hydrol. 5:171-194.
19. Loague, K., R.S. Yost, R.E. Green, and T.C. Liang. 1989. Uncertainty in a pesticide leaching assessment for Hawaii. J. Contam. Hydrol. 4(2):139-161.
20. Mantoglou, A. 1992. A theoretical approach for modeling unsaturated flow in spatially variable soils: Effective flow models in finite domains and non-stationarity. Water Resour. Res. 28:251-267.
21. McKay, M.D., R.J. Beckmann, and W.J. Conover. 1979. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 21(2): 239-245.
22. Oblow, E.M. 1978. Sensitivity theory for general nonlinear algebraic equations with constraints. Nucl. Sci. Eng. 65:187-191.
23. Persicani, D. 1996. Pesticide leaching into field soils: Sensitivity analysis of four mathematical models. Ecol. Model. 84:265-280.
24. Rao, P.S.C., A.G. Hornsby, and R.E. Jessup. 1985. Indices for ranking the potential for pesticide contamination of groundwater. Proc. Soil Crop Sci. Soc. Fla. 44:1-8.
25. Rawls, W.J., and D.L. Brakensiek. 1985. Prediction of soil water properties for hydrologic modelling. In E. Jones and T.J. Ward (ed.) Watershed management in the eighties. Proc. Symp. ASCE, Denver, CO, 30 Apr.-2 May 1985. ASCE, New York.
26. Rawls, W.J., and D.L. Brakensiek. 1988. Estimation of soil water retention and hydraulic properties, p. 275-300. In H.J. Morel-Seytoux (ed.) Unsaturated flow in hydrologic modeling, theory and practice. Kluwer Academic Publ., Dordrecht.
27. Smith, W.N., S.O Prasher, and S.F. Barrington. 1992. Evaluation of PRZM and LEACHMP on intact soil columns. Trans. ASAE 34(6):2413-2420.
28. Soutter, M. 1996. Stochastic prediction of groundwater vulnerability to pesticide contamination on a regional scale. Ph.D. thesis 1487. Swiss Federal Institute of Technology, Lausanne (In French.)
29. Soutter, M., and A. Musy. 1998. Coupling ID Monte-Carlo simulations and geostatistics to assess groundwater vulnerability to pesticide contamination on a regional scale. J. Contam. Hydrol. 32(1-2): 25-40.
30. Soutter, M., and Y. Pannatier. 1996. Groundwater vulnerability to pesticide contamination on a regional scale. J. Environ. Qual. 25:439-443.
31. Villeneuve, J.P., P. Lafrance, O. Banton, P. Frechette, and C. Robert. 1988. A sensitivity analysis of adsorption and degradation parameters in the modeling of pesticide transport in soils. J. Contam. Hydrol. 3(1):77-96.
32. Worley, B.A., E.M. Oblow, F.G. Pin, J.E. Horwedel, R.Q. Wright, and J.L. Lucius. 1987. Deterministic methods for sensitivity and uncertainty analysis in large-scale computer models, p. 135-154. In B.E. Boxton (ed.) Geostatistical, sensitivity, and uncertainty methods for groundwater flow and radionuclide transport modeling. Battelle Press, Colombus, OH.