Parameter Estimation of Nash Conceptual Model Using Genetic Algorithm and Ordinary Least SquareLS Methods

Document Type : Original Article

Authors

1 . Ph.D. Student, College of Water and Soil Engineering, University of Tehran, Karaj, Iran.

2 Assistant professor, Sschool of Ccivilivil Engineering, University of Tehran, Tehran, Iran

3 Assistant professor, College of Water and Soil Engineering, University of Tehran, Karaj, Iran

Abstract

This study is focused on two parameter estimation methods of Ordinary Least Square (OLS) and binary code Genetic Algorithm (GA) for estimating the k, n Nash conceptual model parameters. The efficiency of these methods is compared by applying the calibrated models in simulating seven rainfall-runoff events in Heng-Chi watershed in north of Taiwan. The results of the goodness of fit criteria indicate that GA method has better performance in terms of coefficient of efficiency and has reduced the coefficient of variation of error in simulated discharge and error in peak discharge. 

Keywords

References

Dooge, J. C. I., and Bruen, M. (1989). “Unit hydrograph stability and linear algebra.” J. Hydrol., Vol. 111, 377-390.
Khu, S. T., (1998). “Automatic calibration of NAM model with multi objective consideration.” NationalUniversity of Singapore/ Danish Hydraulic Institute, D2K Technical Report 1298-1, 18th December. 
Mohan, S., and Loucks, D. P., (1995). "Genetic algorithms for estimating model parameters. "Proc. 22 Annu. Conf. Integr. Water Res. Plan 21 Century, p 460-463.
Nash, J. E. (1957). “The form of instantaneous unit hydrograph.” Int. Assn. Sci. Hydro. Publ. No. 51, 546-557, LAHS, Gentbrugge, Belgium.
Wang, Q. J., (1991). “The genetic algorithm and its application to calibrating conceptual rainfall-runoff models.” Water Resources Researches, Vol. 27, No. 9, 2467-2471
Iran-Water Resources Research
Volume 2, Issue 2
June 2006
Pages 10-12

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History

  • Receive Date: 31 January 2006
  • Revise Date: 24 May 2006
  • Accept Date: 14 October 2006

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