Sensitivity analysis of distributed environmental simulation models: Understanding the model behaviour in hydrological studies at the catchment scale

Reliability Engineering and System Safety

Volumn 79, Issue 2, 2003, Pages 205-218

  Francos, A ^a   Elorza, F J ^b   Bouraoui, F ^a   Bidoglio, G ^a   Galbiati, L ^a  

^a JOINT RESEARCH CENTRE   (Italy)

^b NONE

Author keywords

Agricultural management; ANOVA methods; FAST method; Hydrology; Large scale hydrological modelling; MayDay; Morris screening method; Sensitivity analysis; Water quality

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; HYDROLOGY; WATER POLLUTION; WATER RESOURCES; WATERSHEDS;

MORRIS SCREENING METHODS;

SENSITIVITY ANALYSIS;

EID: 0037303951     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0951-8320(02)00231-4     Document Type: Conference Paper

References (18)

1. Arnold J.G., Allen P.M., Bernhardt G. A comprehensive surface-groundwater flow model. J Hydrol. 142:1999;47-69.
2. Neitsch S, Arnold JG, Williams JR. Soil and water assessment tool: user's manual, version 2000. Blackland Research Centre, Texas Agricultural Experiment Station. Draft; September 2000.
3. Arnold J.G., Williams J.R., Nicks A.D., Sammons N.B. SWRRB: a basin scale simulation model for soil and water resources management. 1990;Texas A&M University, Texas.
4. Williams J.R., Hann R.W. HYMO, a problem-oriented computer language for building hydrologic models. Water Resour Res. 8:(1):1972;79-85.
5. Di Luzio M, Srinivasan R, Arnold JG. Watershed oriented non-point pollution assessment tool. Proceedings of the Seventh International Conference on Computers in Agriculture, Orlando, Florida; October 26-30, 1998. p. 233-41.
6. Morris M.D. Factorial sampling plans for preliminary computational experiments. Technometrics. 33:(2):1991.
7. Campolongo F., Tarantola S., Saltelli A. Tackling quantitatively large dimensionality problems. Comput Phys Commun. 117:1999;75-85.
8. Campolongo F., Braddock R. The use of the graph theory in the sensitivity analysis of the model output: a second order screening method. Reliab Engng Syst Safety. 64:1998;1-12.
9. Cukier R.I., Levine H.B., Shuler K.E. Nonlinear sensitivity analysis of multiparameter model systems. J Comput Phys. 26:1978;1-42.
10. Saltelli A. Chan K., Scott E.M. Probability and statistics series. 2000;Wiley, New York.
11. Helton J.C. Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal. Reliab Engng Syst Safety. 42:1993;327-367.
12. Koda M., McRae G.J., Seinfield J.H. Automatic sensitivity analysis of kinetic mechanisms. Int J Chem Kinet. 11:1979;427-444.
13. Bolado R, Alonso A, Moya JA. MayDay: Un código para realizar análisis de incertidumbre y sensibilidad. ENRESA, Publicación Técnica no. 07/96; 1996 (in Spanish).
14. Bidoglio G, Francos A, Elorza FJ, Bouraoui F, Galbiati L. CHESS (climate, Hydrochemistry and Economics in Surface-water Systems) project. JRC-EI Final Report. 2001.
15. Francos A., Bidoglio G., Galbiati L., Bouraoui F., Elorza F.J., Rekolainen S., Manni K., Granlund K. Hydrological and water quality modelling in a medium-size coastal basin. Phys Chem Earth. 26:(1):2001;47-52.
16. Fitzhugh T.W., Mackay D.S. Impacts of input parameter spatial aggregation on an agricultural nonpoint source pollution model. J Hydrol. 236:2000;35-53.
17. Elorza FJ, Francos A. Sensitivity analysis of the hydrological model SWAT. Environment Institute, Joint Research Centre; 2001.
18. Saltelli A., Tarantola S., Chan K. A quantitative, model independent method for global sensitivity analysis of model output. Technometrics. 41:(1):1999;39-56.