Implementation of an automatic calibration procedure for HYDROTEL based on prior OAT sensitivity and complementary identifiability analysis

Hydrological Processes

Volumn 28, Issue 12, 2014, Pages 3947-3961

  Bouda, Médard ^a   Rousseau, Alain N ^a   Gumiere, Silvio J ^b   Gagnon, Patrick ^a   Konan, Brou ^c   Moussa, Roger ^d  

^a CENTRE EAU TERRE ENVIRONNEMENT   (Canada)

^b UNIVERSITÉ LAVAL   (Canada)

^c HYDRO QUÉBEC   (Canada)

^d CEMAGREF   (France)

Author keywords

Automatic calibration; HYDROTEL; Identifiability; Parameter estimation; Sensitivity

Indexed keywords

CALIBRATION; CLIMATE MODELS; EFFICIENCY; PARAMETER ESTIMATION;

AUTOMATIC CALIBRATION; CALIBRATION PROCEDURE; DISTRIBUTED HYDROLOGICAL MODEL; HYDROLOGICAL MODELS; HYDROTEL; IDENTIFIABILITY; IDENTIFIABILITY ANALYSIS; SENSITIVITY;

WATERSHEDS;

AUTOMATION; CALIBRATION; EFFICIENCY MEASUREMENT; FLOW MODELING; HYDROLOGICAL MODELING; PARAMETERIZATION; PEAK FLOW; PERFORMANCE ASSESSMENT; SENSITIVITY ANALYSIS; STREAMFLOW;

CANADA; QUEBEC [CANADA];

EID: 84901755324     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.9882     Document Type: Article

References (60)

1. Avenard JM, Eldin M, Girard G, Sircoulon J, Touchebeuf P, Guillamet JL, Adjanohoun E, Perraud A. 1971. Le milieu naturel de la Côte-d'Ivoire. Paris: ORSTOM. (Mémoires ORSTOM, n° 50).
2. Bahremand A, De Smedt F. 2008. Distributed hydrological modeling and sensitivity analysis in Torysa watershed, Slovakia. Water Resources Management 22: 393-408. DOI: 10.1007/s11269-007-9168-x.
3. Belsley DA. 1991. Conditioning Diagnostics - Collinearity and Weak Data in Regression. J. Wiley: New York.
4. Beven KJ. 2000. Uniqueness of place and the presentation of hydrological processes. Hydrology and Earth System Sciences 4: 203-213.
5. Bouda M, Rousseau AN, Konan B, Gagnon P, Gumiere SJ. 2012. Uncertainty analysis of the distributed hydrological model HYDROTEL: Application of a Bayesian method. Accepted for publication in Journal of Hydrologic Engineering. DOI: 10.1061/(ASCE)HE.1943-5584.0000550
6. Box GEP, Cox DR. 1982. An analysis of transformations revisited, rebutted. Journal of the American Statistical Association 77(377): 209-210.
7. Boyle DP, Gupta HV, Sorooshian S. 2000. Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods. Water Resources Research 36(12): 3663-3674. DOI: 10.1029/2000WR900207.
8. Brun R, Reichert P, Künsch RH. 2001. Practical identifiability analysis of large environmental simulation models. Water Resources Research 37(4): 1015-1030.
9. Brun R, Kühni M, Siegrist H, Gujera W, Reichert P. 2002. Practical identifiability of ASM2d parameters - systematic selection and tuning of parameter subsets. Water Research 36: 4113-4127.
10. Cheviron B, Gumiere SJ, Le Bissonnais Y, Moussa R, Raclot D. 2010. Sensitivity analysis of distributed erosion models: Framework. Water Resources Research 46: W08508. DOI: 10.1029/2009WR007950.
11. Conseil de Bassin de la rivière Montmorency. 2006. Plan Directeur de l'eau - Protrait, pp 4.
12. Duan Q, Sorooshian S, Gupta V. 1992. Effective and efficient global optimisation for conceptual rainfall-runoff models. Water Resources Research 28: 1015-1031.
13. Duan QY, Gupta VK, Sorooshian S. 1993. Shuffled complex evolution approach for effective and efficient global minimization. Journal of Optimization Therory and Application 76(3): 501-521.
14. Fortin JP, Turcotte R, Massicotte S, Moussa R, Fitzback J, Villeneuve JP. 2001a. A Distributed Watershed Model Compatible with Remote Sensing and GIS data. Part I: Description of Model. Journal of Hydrologic Engineering, American Society of Civil Engineering 6(2): 91-99.
15. Fortin JP, Turcotte R, Massicotte S, Moussa R, Fitzback J, Villeneuve JP. 2001b. A Distributed Watershed Model Compatible with Remote Sensing and GIS data. Part II: Application to Chaudière watershed. Journal of Hydrologic Engineering, American Society of Civil Engineering 6(2): 100-108.
16. Frey HC, Patil SR. 2002. Identification and review of sensitivity analysis methods. Risk Analysis 22(3): 553-578.
17. Gumiere SJ, Raclot D, Cheviron B, Davy G, Louchart X, Fabre J-C, Moussa R, Bissonnais YL. 2010. MHYDAS-Erosion: a distributed single-storm water erosion model for agricultural catchments Hydrological Processes, in press. DOI: 10.1002/hyp.7931
18. Gupta H, Sorooshian S, Hogue T, Boyle D. 2003. Advances in the automatic calibration of watershed models, in: Calibration of watershed models, Water Science and Application, American Geophysical Union, Washington DC, USA, 6, 9-28.
19. Helton J C. 1993. Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal. Reliability Engineering and System Safety 42: 327-367.
20. Kleissen FM, Beck MB, Wheater HS. 1990. The identifiability of conceptual hydrochemical models. Water Resources Research 26(12): 2979-2992.
21. Krause P, Boyle DP, Bäse F. 2005. Comparison of different efficiency criteria for hydrological model assessment. Advances in Geosciences 5: 89-97. DOI: 10.5194/adgeo-5-89-2005
22. Lavigne MP. 2007. Modélisation du régime hydrologique et de l'impact des coupes forestières sur l'écoulement du ruisseau des eaux-volées à l'aide d'HYDROTEL. Mémoire de maîtrise, Université du Québec, INRS-ETE, Canada.
23. Linacre ET. 1977. A simple formula for estimating evaporation rates in various climates, using temperature data alone. Agricultural Meteorology 18: 409-424.
24. Matott LS, Babendreier JE, Purucker ST. 2009. Evaluating uncertainty in integrated environmental models: A review of concepts and tools. Water Resources Research 45: W06421. DOI: 10.1029/2008WR007301.
25. Monteith JL. 1965. Evaporation and environment. Symposia of the Society for Experimental Biology 19: 205-234.
26. Moussa R, Voltz M, Andrieux P. 2002. Effects of the spatial organization of agricultural management on the hydrological behaviour of a farmed catchment during flood events. Hydrological Processes 16: 393-412.
27. Nelder JA, Mead R. 1965. A simplex method for function minimization. The Computer Journal 7: 308-313. DOI: 10.1093/comjnl/7.4.308.s
28. Priestley CHB, Taylor RJ. 1972. On the assessment of surface heat flux and evaporation using large scale parameters. Monthly Weather Reviews 100: 81-92.
29. Quilbé R, Rousseau AN, Moquet J-S, Trinh NB, Dikibi Y, Gachon P, Chaumont D. 2008. Assessing the effect of climate change on river flow using general circulation models and hydrological modelling - Application to the Chaudière River (Québec, Canada). Canadian Water Resources Journal 33(1): 73-94.
30. Reichert P. 2001. UNCSIM-A Program Package for Uncertainty Analysis and Bayesian Inference: User Manual, EAWAG, Dübendorf, Switzerland (2001) p. 36.
31. Reichert P. 2005. UNCSIM - A computer program for statistical inference and sensitivity, identifiability and uncertainty analysis. In: Teixeira JMF, Carvalho-Brito AE (eds). Proceedings of the 2005 European Simulation and Modelling Conference (ESM2005), October 24-26, Porto, Portugal, EUROSIS-ETI., pp 51-55.
32. Reichert P. 2006a. A standard interface between simulation programs and systems analysis software. Water Science and Technology 53(1): 267-275. DOI: 10.2166/wst.2006.029
33. Reichert P. 2006b. A computer program for statistical inference and sensitivity, identifiability and uncertainty analysis. User's Manuel Version 2.0, EAWAG, Dübendorf, Switzerland.
34. Riley J.P., Israelsen E. K. and Eggleston, K.O. 1973. Some approaches to snowmelt prediction. The Role of Snow and Ice in Hydrology, IAHS pub 107, IAHS, pp. 956-971.
35. Rousseau AN, Savary S, Konan B. 2008. Implantation du modèle HYDROTEL sur le bassin de la rivière Montmorency afin de simuler les débits observés et de produire des scénarios de crues du printemps 2008. Rapport R-921. Centre Eau, Terre et Environnement, Institut national de la recherche scientifique, INRS-ETE. Québec, PQ 54 pages.
36. Rousseau AN, Fortin JP, Turcotte R, Royer A, Savary S, Quévy F, Noël P, Paniconi C. 2011a. PHYSITEL, a specialized GIS for supporting the implementation of distributed hydrological models. Water News - Official Magazine of the Canadian Water Resources Association 31(1): 18-20.
37. Rousseau AN, Lafrance P, Lavigne M-P, Savary S, Konan B, Quilbé R, Amrani M, Jiapizan P. 2011b. A hydrological modelling framework for defining watershed-scale achievable performance standards of pesticides beneficial management practices. Journal of Environmental Quality 41(1): 52-63. DOI: 10.2134/jeq2010.0281
38. Rousseau AN, Savary S, Hallema DW, Gumiere SJ, Foulon E. 2013. Modeling the effects of agricultural BMPs on sediments, nutrients and water quality of the Beaurivage River watershed (Quebec, Canada). Canadian Water Resources Journal (in press). DOI: 10.1080/07011784.2013.780792.
39. Saltelli A. 1999. Sensitivity analysis. Could better methods be used? Journal of Geophysical Research 104(D3): 3789-3793.
40. Saltelli A, Tarantola S Chan K. 1999. A quantitative, model independent method for global sensitivity analysis of model output. Technometrics 41: 39-56.
41. Saltelli A, Chan K, Scott M. 2000a. Sensitivity Analysis. Probability and Statistics Series. John Wiley & Sons Ltd.: New York, NY, USA; 475.
42. Saltelli A, Tarantola S, Campolongo F. 2000b. Sensitivity analysis as an ingredient of modeling. Statistical Science 15: 377-395.
43. Saltelli A, Tarantola S, Campolongo F, Ratto M. 2004. Sensitivity analysis in practice. A guide to assessing scientific models. John Wiley & Sons: NY.
44. Savary S, Rousseau AN, Quilbé R. 2009. Assessing the effects of historical land cover changes on runoff and low flows using remote sensing and hydrological modeling. Journal of Hydrologic Engineering 14(6): 575-587. DOI: 10.1061/(ASCE)HE.1943-5584.0000024.
45. Schaefli B, Gupta HV. 2007. Do Nash values have value? Hydrological Processes 21: 2075-2080.
46. Scott M, Saltelli A (eds). 1997. Special issue on sensitivity analysis. Journal of Statistical Computation and Simulation 57(1-4): 1-364.
47. Spear RC, Hornberger GM. 1980. Eutrophication in Peel Inlet - II Identification of critical uncertainties via generalized sensitivity analysis. Water Research 14: 43-49.
48. Spear R, Grieb TM, Shang N. 1994. Parameter uncertainty and interaction in complex environmental models. Water Resources Research 30: 3159-3169.
49. Tarantola S, Saltelli A. 2003. SAMO 2001: methodological advances and innovative applications of sensitivity analysis. Reliability Engineering and System Safety 79: 121-122.
50. Thornthwaite CW. 1948. An approach toward a rational classification of climate. Geographical Reviews 38: 55-94.
51. Turcotte R, Fortin JP, Massicotte S, Fitzback J, Rousseau AN. 2001. Determination of watershed drainage structure using a digital elevation model and a digital river and lake network. Journal of Hydrology 240: 225-242.
52. Turcotte R, Rousseau AN, Fortin JP, Villeneuve JP. 2003. A process-oriented, multiple-objective calibration strategy accounting for model structure. In Advances in Calibration of watershed models, Water Science & Application 6, American Geophysical Union Water Resources Monograph Series, Duan Q, Gupta H, Sorooshian S, Rousseau AN, Turcotte R (eds); 153-163.
53. Turcotte R, Lacombe P, Dimnik C, Villeneuve J-P. 2004. Distributed hydrological prediction for the management of Quebec's public dams | [Prévision hydrologique distribuée pour la gestion des barrages publics du Québec]. Canadian Journal of Civil Engineering 31(2): 308-320.
54. Turcotte R, Fortin L-G, Fortin V, Fortin J-P, Villeneuve J-P. 2007. Operational analysis of the spatial distribution and the temporal evolution of the snowpack water equivalent in southern Québec, Canada. Nordic Hydrology 38(3): 211-234.
55. Van Griensven A, Meixner T, Grunwald S, Bishop T, Diluzio M, Srinivasan R. 2006. A global sensitivity analysis tool for parameters of mutli-variable catchment models. Journal of Hydrology 324: 10-23.
56. Yang J. 2011. Convergence and uncertainty analyses in Monte-Carlo based sensitivity analysis. Environmental Modelling & Software 26: 444-457.
57. Yang J, Reichert P, Abbaspour KC, Yang H. 2007a. Hydrological modelling of the Choahe Basin in China: Statistical model formulation and Bayesian inference. Journal of Hydrology 340: 167-182. DOI: 10.1016/j.jhydrol.2007.04.006.
58. Yang J, Reichert P, Abbaspour KC. 2007b. Bayesian uncertainty analysis in distributed hydrologic modeling: A case study in the Thur River basin (Switzerland). Water Resources Research 43: W10401. DOI: 10.1029/2006WR005497.
59. Yapo P, Gupta H, Sorooshian S. 1998. Multi-objective global optimization for hydrologic models. Journal of Hydrology 204: 83-97.
60. Young PC. 1978. Modeling, Identification and Control in Environmental Systems. North Holland, Amsterdam, Ch. A general theory of modelling for badly defined dynamic systems, pp. 103-135.