Uncertainty assessment of the model RICEWQ in northern Italy

Journal of Environmental Quality

Volumn 33, Issue 6, 2004, Pages 2217-2228

  Miao, Zewei ^a   Trevisan, Marco ^a   Capri, Ettore ^a   Padovani, Laura ^a   Del Re, Attilio A M ^a  

^a UNIVERSITÀ CATTOLICA DEL SACRO CUORE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DECISION MAKING; MONTE CARLO METHODS; PESTICIDES; SEDIMENTS; STATISTICAL MECHANICS;

MONTE CARLO STOCHASTIC APPROACH; PADDY FIELDS; UNCERTAINTY DISTRIBUTIONS;

RISK ASSESSMENT;

PESTICIDE; RUNOFF; WATER;

AGRICULTURE; ANALYSIS OF VARIANCE; ARTICLE; LAND USE; MODEL; MONTE CARLO METHOD; NORMAL DISTRIBUTION; PADDY FIELD; PARAMETER; PARTITION COEFFICIENT; PREDICTION; REGRESSION ANALYSIS; RELIABILITY; RICEWQ MODEL; RISK ASSESSMENT; SEDIMENT; SEDIMENT WATER PARTITION COEFFICIENT; SIMULATION; SOIL MANAGEMENT; STATISTICAL ANALYSIS; STEPWISE MULTIPLE REGRESSION; UNCERTAINTY; WEATHER; XENOBIOTIC METABOLISM;

EID: 8744235009     PISSN: 00472425     EISSN: None     Source Type: Journal    
DOI: 10.2134/jeq2004.2217     Document Type: Article

References (41)

1. Bobba, A.G., V.P. Singh, and L. Bengtsson. 2000. Application of environmental models to different hydrological systems. Ecol. Modell. 125:15-49.
2. Brawley, J.W., G. Collins, J.N. Kremer, C.H. Sham, and I. Valiela. 2000. A time-dependent model of nitrogen loading to estuaries from coastal watershed. J. Environ. Qual. 29:1448-1461.
3. Capri, E., F. Ferrari, Z. Miao, and M. Trevisan. 2001. Edge field leaching study of metalaxyl-M and its main metabolite, p. 171-176. In A. Walker (ed.) 2001 BCPC Symp. Proc. 78: Pesticide Behaviour in Soil and Water. British Crop Protection Council, Farnham, UK.
4. Capri, E., and Z. Miao. 2002. Modeling pesticide fate in rice paddy. Agronomie (Paris) 22:363-371.
5. Cheng, H.H. (ed.) 1990. Pesticides in the soil, environment: Processes, impacts, and modelling. SSSA, Madison, WI.
6. Dean, J.D., P.S. Huyakorn, A.S. Donigian, Jr., K.A. Voos, R.W. Schanz, and R.F. Carsel. 1989. Risk of unsaturated/saturated transport and transformation chemical concentrations (RUSTIC). Volume I. Theory and code verification. Volume II. User's guide. EPA/600/3-89. USEPA Environ. Res. Lab. and Office of Res. and Development, Athens, GA.
7. De Vries, W., and D.J. Bakker. 1998. The use of upscaling procedures in the application of soil acidification models at different spatial scales. Nutr. Cycling Agroecosyst. 50:223-236.
8. Donatelli, M., M. Acutis, and S. Kosovan. 1996. An introduction to soil parameters estimate. Version 2.0 [Online]. Available at www.sipeaa.it/ASP/ASP2/ SOILPAR.asp (verified 21 July 2004). ISA Modena-DASGT, Modena, Italy.
9. Donatelli M., M. Acutis, and S. Kosovan. 2000. An introduction to RadEst (global solar radiation estimate). Version 3.00 [Online]. Available at www.sipeaa.it/ASP/ASP2/RadEst.asp (verified 21 July 2004). FAO-ISCI, Rome.
10. Dubus, I.G., S. Beulke, and C.D. Brown. 2002. Review calibration of pesticide leaching models: Critical review and guidance for reporting. Pest Manage. Sci. 58:745-758.
11. Dubus, I.G., and C.D. Brown. 2002. Sensitivity and first step uncertainty analyses for the preferential flow model MACRO. J. Environ. Qual. 31:227-240.
12. Dubus, I.G., C.D. Brown, and S. Beulke. 2003. Sources of uncertainty in pesticide fate modeling. Sci. Total Environ. 317:3081-3087.
13. Dubus, I.G., and P.H.M. Janssen. 2003. Issues of replicability in Monte Carlo modeling: A case study with a pesticide leaching model. Environ. Toxicol. Chem. 22:3081-3087.
14. 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.
15. Hession, W.C., and D.E. Storm. 2000. Watershed-level uncertainties: Implication for phosphorus management and eutrophication. J. Environ. Qual. 29:1172-1179.
16. Heuvelink, G.B.M. 1998. Uncertainty analysis in environmental modelling under a change of spatial scale. Nutr. Cycling Agroecosyst. 50:255-264.
17. Hood, G. 2001. PopTools Version 2.2 (Build 2) [Online]. Available at www.cse.csiro.au/client_serv/software/poptools/index.htm (verified 21 July 2004). CSIRO, Canberra, Australia.
18. Inao, K., and Y. Kitamura. 1999. Pesticide paddy field model (PADDY) for predicting pesticide concentrations in water and soil in paddy fields. Pestic. Sci. 55:38-46.
19. Janssen, P.H.M., P. Heuberger, and O. Klepper. 1994. UNSCAM: A tool for automating sensitivity and uncertainty of analysis. Environ. Software 9:1-11.
20. Jian, H.L., and W. Schilling. 1996. Preliminary uncertainty analysis - A prerequisite for assessing the predictive uncertainty of hydrologic models. Water Sci. Technol. 33:79-90.
21. Keller, A., K.C. Abbaspour, and R. Schulin. 2002. Assessment of uncertainty and risk in modeling regional heavy-metal accumulation in agricultural soils. J. Environ. Qual. 31:175-187.
22. Keller, A., B. von Steiger, S.E.A.T.M. van der Zee, and R. Schulin. 2001. A stochastic empirical model for regional heavy-metal balance in agro-ecosystems. J. Environ. Qual. 30:1976-1989.
23. Klepper, O., and H.A. den Hollander. 1999. A comparison of spatially explicit and box models for the fate of chemicals in water, air and soil in Europe. Ecol. Modell. 116:183-202.
24. Linsley, R.K., and J.B. Franzini. 1979. Water-resources engineering. 3rd ed. McGraw-Hill Book Company, New York.
25. Mazumdar, S., A.E. Begley, P.R. Houck, Y. Yang, C.F. Reynolds, and D.J. Kupfer. 1999. Residual analysis in random regressions using SAS and S-PLUS. Comput. Meth. Prog. Biol. 58:281-282.
26. Miao, Z., M.J. Cheplick, M.W. Williams, M. Trevisan, L. Padovani, M. Gennari, A. Ferrero, F. Vidotto, and E. Capri. 2003a. Simulating pesticide leaching and runoff in rice paddies with the RICEWQ-VADOFT model. J. Environ. Qual. 32:2189-2199.
27. Miao, Z., L. Padovani, C. Riparbelli, A.M. Ritter, M. Trevisan, and E. Capri. 2003b. Prediction of the environmental concentration of pesticide in paddy field and surrounding surface water bodies. Paddy Water Environ. 1:121-132.
28. Miao, Z., M. Trevisan, E. Capri, and L. Padovani. and A.A.M Del Re. 2003c. An uncertainty assessment of the RICEWQ model, p. 545-554. In A.A.M Del Re., E. Capri, L. Padovani, M. Trevisan (ed.) Pesticide in air, plant, soil & water system. La Goliardica Pavese, Pavia, Italy.
29. Parysow, P., G. Gertner, and J. Westervelt. 2000. Efficient approximation for building error budgets for process models. Ecol. Modell. 135:111-125.
30. SAS Institute. 1985. SAS user's guide: Statistics. 5th ed. SAS Inst., Cary, NC.
31. Snedecor, G.W., and W.G. Cochran. 1989. Statistical methods. 8th ed. Iowa State Univ. Press, Ames.
32. Soutter, M., and A. Musy. 1998. Coupling 1D Monte-Carlo simulations and geostatistics to assess groundwater vulnerability to pesticide contamination on a regional scale. J. Contam. Hydrol. 32:25-39.
33. Tiktak, A. 1999. Modeling non-point source pollutants in soils-Applications to the leaching and accumulation of pesticides and cadmium. Ph.D. diss. Univ. of Amsterdam.
34. Tomlin, C. 1994. The pesticide manual incorporating the agro-chemicals handbook. 10th ed. British Crop Protection Council, The Royal Soc. of Chem., Farnham, UK.
35. Trevisan, M., R. Calandra, C. Vischetti, A. Esposito, and L. Padovani. 2001. Pesticide leaching potential in the Trasimeno lake area-Assessment of uncertainty associated with the simulation process. p. 245-250. In A. Walker (ed.) 2001 BCPC Symposium Proc. 78: Pesticide Behaviour in Soil and Water. The British Crop Protection Council, Farnham, UK.
36. Van der Werf, H.M.G. 1996. Assessing the impact of pesticides on the environment. Agric. Ecosyst. Environ. 60:81-96.
37. Warren-Hicks, W., J.P. Carbone, and P.L. Havens. 2002. Using Monte Carlo techniques to judge model prediction accuracy: Validation of the Pesticide Root Zone Model 3.12. Environ. Toxicol. Chem. 21:1570-1577.
38. Watanabe, H., and K. Takagi. 2000. A simulation model for predicting pesticide concentrations in paddy water and surface soil. I. Model development. Environ. Technol. 21:1379-1391.
39. Williams, W.M., A.M. Ritter, J.M. Cheplick, and C.E. Zdinak. 1999. RICEWQ: Pesticide runoff model for rice crops, users manual and program documentation Version 1.6.1. Waterborne Environmental, Leesburg, VA.
40. Wisniak, J., and A. Polishuk. 1999. Analysis of residuals-A useful tool for phase equilibrium data. Fluid Phase Equilibria 164:61-82.
41. Wolt, J., P. Singh, S. Cryer, and J. Lin. 2002. Sensitivity analysis for validating expert opinion as to ideal data set criteria for transport modeling. Environ. Toxicol. Chem. 21:1558-1565.