Comparison of model structural uncertainty using a multi-objective optimisation method

Hydrological Processes

Volumn 25, Issue 17, 2011, Pages 2642-2653

  Lee, Giha ^a   Tachikawa, Yausto ^b   Takara, Kaoru ^b  

^a Chungnam National University   (South Korea)

^b KYOTO UNIVERSITY   (Japan)

Author keywords

Equifinality; Model structural uncertainty; Multi objective optimisation method; Parameter stability; Pareto solution set

Indexed keywords

COMPARATIVE ASSESSMENT; DETAILED MODELS; DISTRIBUTED MODELS; EQUIFINALITY; EVALUATING MODELS; HETEROSCEDASTIC; HISTORICAL FLOODS; LEAST SQUARE; LUMPED MODELS; MAXIMUM LIKELIHOOD ESTIMATOR; MODEL PARAMETERS; MODEL PERFORMANCE; MODEL-BASED OPC; MOSCEM-UA; OBJECTIVE FUNCTIONS; PARAMETER SET; PARAMETER STABILITY; PARETO FRONT; PARETO SOLUTION; RAINFALL RUNOFF; RAINFALL-RUNOFF MODELLING; SPATIAL RESOLUTION; STRUCTURAL UNCERTAINTY; TOPOGRAPHIC REPRESENTATION;

ESTIMATION; LEAST SQUARES APPROXIMATIONS; MAXIMUM LIKELIHOOD ESTIMATION; MODEL STRUCTURES; MULTIOBJECTIVE OPTIMIZATION; PARETO PRINCIPLE; RAIN; RATING; RUNOFF; STABILITY;

UNCERTAINTY ANALYSIS;

COMPARATIVE STUDY; DIGITAL ELEVATION MODEL; FLOOD; LEAST SQUARES METHOD; MAXIMUM LIKELIHOOD ANALYSIS; NUMERICAL MODEL; OPTIMIZATION; PERFORMANCE ASSESSMENT; RAINFALL-RUNOFF MODELING; SPATIAL RESOLUTION; UNCERTAINTY ANALYSIS;

EID: 79961125964     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.8006     Document Type: Article

References (31)

1. Beven K, Binely AM. 1992. The future of distributed models: model calibration and uncertainty prediction, Hydrological Processes 6: 279-298.
2. 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.
3. Boyle DP, Gupta HV, Sorooshian S, Koren V, Zhang Z, Smith M. 2001. Toward improved streamflow forecast: The value of semi-distributed modeling, Water Resources Research 37(11): 2739-2759.
4. Duan Q. 1991. A global optimization strategy for efficient and effective calibration of hydrologic models, Ph.D. dissertation, University of Arizona, Tucson.
5. Duan Q, Sorooshian S, Gupta VK. 1992. Effective and efficient global optimization for conceptual rainfall-runoff models, Water Resources Research 28(4): 1015-1031.
6. Duan Q, Gupta VK, Sorooshian S. 1993. Shuffled complex evolution approach for effective and efficient global minimization, Journal of Optimization Theory and Application 76(3): 501-521.
7. Gupta HV, Sorooshian S, Yapo PO. 1998. Toward improved calibration of hydrologic models: Multiple and non-commensurable measures of information, Water Resources Research 134(4): 751-763.
8. Gupta HV, Sorooshian S, Hogue TS, Boyle DP. 2003. Advances in automatic calibration of watershed models. In Advances in calibration of watershed models, Duan Q, Sorooshian S, Gupta HV, Rosseau A, Turcotte R (eds), AGU: Washington, DC; pp. 29-47.
9. Ichikawa Y, Shiiba M, Tachikawa Y, Takara K. 2000. Object-oriented hydrological modeling system, Proc. of 4th International Conference Hydro- informatics 2000 CD-ROM, Iowa, USA.
10. Jakeman AJ, Hornberger GM. 1993. How much complexity is warranted in a rainfall-runoff model, Water Resources Research 29(8): 2637-2649.
11. Johnsen KP, Mengelkamp HG, Huneke S. 2005. Multi-objective calibration of the land surface scheme TERRA/LM using LITFASS-2003 data, Hydrology and Earth System Sciences 9(6): 586-595.
12. Kavetski D, Franks SW, Kuczera G. 2003. Confronting input uncertainty in environmental modeling. In Advances in calibration of watershed models, Duan Q, Sorooshian S, Gupta HV, Rosseau A, Turcotte R (eds), AGU: Washington, DC; pp. 49-68.
13. Kimura T. 1960. Research on the estimation of flood runoff: A study of the storage function, Journal of Research of PWRI 4: 23-43.
14. Klemes V. 1986. Operational testing of hydrological simulation models, Hydrological Sciences Journal 31(1): 13-24.
15. Kuczera G, Mroczkowski M. 1998. Assessment of hydrologic parameter uncertainty and the worth of multi-response data, Water Resources Research 34: 1481-1489.
16. Lee G, Tachikawa Y, Takara K. 2007. Identification of model structural stability through comparison of hydrologic models, Annual Journal of Hydraulic Engineering, JSCE, No. (51): 49-54.
17. Lee G, Tachikawa Y, Takara K. 2009. Interaction between topographic and process parameters due to the spatial resolution of DEMs in distributed rainfall-runoff modeling, Journal of Hydrologic Engineering, DOI:org/10·1061/(ASCE)HE.1943-5584·0000098.
18. Refsgaard JC, Knudsen J. 1996. Operational validation and intercomparison of different types of hydrologic models, Water Resources Research 32(7): 2189-2202.
19. Savenije HHG. 2001. Equifinality, a blessing in disguise? Hydrological Processes 15: 2835-2838.
20. Schoups G, Hopmans JW, Young CA, Vrugt JA, Wallender WW. 2005. Multi-criteria optimization of a regional spatially-distributed subsurface water flow model, Journal of Hydrology 311: 20-48.
21. Sorooshian S, Dracup JA. 1980. Stochastic parameter estimation procedures for hydrologic rainfall-runoff models: Correlated and heteroscedastic error cases, Water Resources Research 16(2): 430-442.
22. Sorooshian S, Gupta VK. 1995. Model calibration. In Computer models of watershed hydrology, Singh VP (ed), Water Resources Publications: Highland Ranch, USA; pp. 23-68.
23. Tachikawa Y, Nagatani G, Takara K. 2004. Development of stage-discharge relationship equation incorporating saturated-unsaturated flow mechanism, Annual Journal of Hydraulic Engineering, JSCE, No. (48): 7-12 (in Japanese).
24. Takasao T, Shiiba M, Ichikawa Y. 1996. A runoff simulation with structural hydrological modeling system, Journal of Hydroscience and Hydraulic Engineering, JSCE, 14(2): 47-55.
25. Uhlenbrook S, Seibert J, Leibundgut C, Rohde A. 1999. Prediction uncertainty of conceptual rainfall-runoff models caused by problems in identifying model parameters and structures, Hydrological Sciences Bulletin 44(5): 779-797.
26. Vieux BE. 2004. Distributed Hydrologic Modeling using GIS, Kluwer Academic Publisher: Dordrecht; pp. 289.
27. Vrugt JA, Gupta HV, Bouten W, Sorooshian S. 2003. Effective and efficient algorithm for multi-objective optimization of hydrologic models, Water Resources Research 39(8): 1214, DOI:10·1029/2002WR001746.
28. Wagener T, Boyle DP, Less MJ, Wheater HS, Gupta HV, Sorooshian S. 2001. A framework for development and application of hydrological models, Hydrology and Earth System Sciences 5(1): 13-26.
29. Wagener T, Wheater TS, Gupta HV. 2004. Rainfall-Runoff Modeling in Gauged and Ungauged Catchments, Imperial College Press: London; pp. 306.
30. Wagener T, Gupta HV. 2005. Model identification for hydrological forecasting under uncertainty, Stochastic Environmental Research and Risk Assessment 19: 378-387.
31. Yapo PO, Gupta HV, Sorooshian S. 1998. Multi-objective global optimisation for hydrologic models, Journal of Hydrology 204: 83-97.