Uncertainty-based automatic calibration of HEC-HMS model using sequential uncertainty fitting approach

Journal of Hydroinformatics

Volumn 14, Issue 2, 2012, Pages 286-309

  Mousavi, S Jamshid ^a   Kamali, B ^a   Abbaspour, K C ^b   Amini, M ^b   Yang, H ^b  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

Author keywords

Automatic calibration; HEC HMS; Rainfall runoff modelling; SUFI2

Indexed keywords

EID: 84865019574     PISSN: 14647141     EISSN: None     Source Type: Journal    
DOI: 10.2166/hydro.2011.071     Document Type: Article

References (29)

1. Abbaspour, K. C. 2008 Swat-Cup2: SWAT Calibration and Uncertainty Programs Manual Version 2, Department of Systems Analysis, Integrated Assessment and Modelling (SIAM), Eawag. Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland.
2. Abbaspour, K. C., Johnson, A. & van Genuchten, M. Th. 2004 Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure. Vadose Zone Journal 3 (4), 1340-1352.
3. Abbaspour, K. C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J. & Srinivasan, R. 2007 Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J. Hydrol. 333 (2-4), 413-430. (Pubitemid 46053969)
4. Ajami, N. K., Duan, Q. & Sorooshian, S. 2007 An integrated hydrologic Bayesian multimodel combination framework: confronting input, parameter, and model structural uncertainty in hydrologic prediction. Water Resour. Res. 43, W01403.
5. Arnold, J. G., Srinivasan, R., Muttiah, R. S. & Williams, J. R. 1998 Large area hydrologic modeling and assessment part I: model development. J. Am. Water Res. Assoc. 34 (1), 73-89. (Pubitemid 28190080)
6. Beven, K. & Binley, A. 1992 The future of distributed models -model calibration and uncertainty prediction. Hydrological Processes 6 (3), 279-298.
7. Beven, K. & Freer, J. 2001 Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. J. Hydrol. 249 (1-4), 11-29. (Pubitemid 32664993)
8. Duan, Q., Sorooshian, S. & Gupta, H. V. 1992 Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour. Res. 28 (4), 1015-1031.
9. Ebtehaj, M., Moradkhani, H. & Gupta, H. V. 2010 Improving robustness of hydrologic parameter estimation by the use of moving block bootstrap resampling. Water Resour. Res. 46, W07515, 14 PP.
10. Eckhardt, K. & Arnold, J. G. 2001 Automatic calibration of a distributed catchment. J. Hydrol. 251 (1-2), 103-109.
11. Faramarzi, M., Abbaspour, K. C., Yang, H. & Schulin, R. 2008 Application of SWAT to quantify internal renewable water resources in Iran. J. Hydrol. Sci. 48 (1), 65-77.
12. Freer, J., Beven, K. & Ambroise, B. 1996 Bayesian estimation of uncertainty in runoff prediction and the value of data: an application of the GLUE approach. Water Resour. Res. 32 (7), 2161-2173.
13. Gan, T. Y., Dlamini, E. M. & Biftu, G. F. 1996 Effects of model complexity and structure, data quality and objective functions on hydrologic modeling. J. Hydrol. 192 (1-4), 81-103.
14. Gupta, H. V. & Sorooshian, S. 1985 The automatic calibration of conceptual catchment models using derivative-based optimization algorithms. Water Resour. Res. 21 (4), 473-485.
15. Ibrahim, Y. & Liong, S.-Y. 1993 A method of estimating optimal catchment model parameters. Water Resour. Res. 29 (9), 3049-3058.
16. Iran Water Research Institute, Water Resources Department (IWRI) 2009 Report on Hydrologic Model Calibration: Gorganroud Flood Warning System Project. Tehran, Iran.
17. Kavetski, D., Kuczera, G. & Franks, S. W. 2006a Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory. Water Resour. Res. 42, W03407.
18. Kavetski, D., Kuczera, G. & Franks, S. W. 2006b Bayesian analysis of input uncertainty in hydrological modeling: 2. Application. Water Resour. Res. 42, W03408.
19. Kuczera, G. 1983a Improved parameter inference in catchment models 1. Evaluating parameter uncertainty. Wat. Resour. Res. 19 (5), 1151-1162.
20. Kuczera, G. 1983b Improved parameter inference in catchment models 2. Combining different kinds of hydrologic data and testing their compatibility. WaterResour. Res. 19 (5), 1163-1172.
21. Kuczera, G. & Parent, E. 1998 Monte Carlo assessment of parameter uncertainty in conceptual catchment models: the Metropolis algorithm. J. Hydrol. 211 (1-4), 69-85. (Pubitemid 29014557)
22. Madsen, H. 2000 Automatic calibration of conceptual rainfall-runoff model using multiple objectives. J. Hydrol. 235 (3-4), 276-288.
23. Madsen, H. 2003 Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives. Adv. Water Res. 26 (2), 205-216. (Pubitemid 36093693)
24. Moradkhani, H., Sorooshian, S., Gupta, H. V. & Houser, P. 2005 Dual state-parameter estimation of hydrological models using ensemble Kalman filter. Adv. Water Res. 28 (2), 135-147. (Pubitemid 40102390)
25. Muleta, M. K. & Nicklow, J. W. 2004 Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model. J. Hydrol. 306 (1-4), 127-145.
26. Nicklow, J., Reed, P. M., Savic, D., Dessalegne, T., Harrell, L., Chan-Hilton, A., Karamouz, Minsker, B., Ostfeld, A., Singh, A. & Zechman, E. 2010 State of the art for genetic algorithms and beyond in water resources planning and management. ASCE Journal of Water Resources Planning & Management 136 (4), 412-432.
27. Press, W. H., Flannery, B. P., Teukolsky, S. A. & Vetterling, W. T. 1992 Numerical Recipe, The Art of Scientific Computation, 2nd edition. Cambridge University Press, Cambridge, UK.
28. Romanowicz, R. J., Beven, K. & Tawn, J. 1994 Evaluation of predictive uncertainty in nonlinear hydrological models using a Bayesian approach. In Statistics for the Environment 2, Water Related Issues (V. Barnett & K. F. Turkman, eds.). Wiley, Chichester, pp. 297-315.
29. Schuol, J., Abbaspour, K. C., Yang, H., Srinivasan, R. & Zehnder, A. 2008 Modeling blue and green water availability in Africa. Water Resour. Res. 44, W07406.