A nonlinear rainfall-runoff model embedded with an automated calibration method - Part 2: The automated calibration method

Journal of Hydrology

Volumn 341, Issue 3-4, 2007, Pages 196-206

  Lin, Gwo Fong ^a   Wang, Chun Ming ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Automated calibration; Fitness evaluation; Genetic algorithms; Global optimization; Rainfall runoff modeling; Sigma truncation

Indexed keywords

FUNCTION EVALUATION; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; MATHEMATICAL MODELS; RUNOFF;

AUTOMATED CALIBRATION; FITNESS EVALUATION; RAINFALL-RUNOFF MODELING; SIGMA TRUNCATION;

RAIN;

FUNCTION EVALUATION; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; MATHEMATICAL MODELS; RAIN; RUNOFF;

AUTOMATION; CALIBRATION; GENETIC ALGORITHM; OPTIMIZATION; RAINFALL-RUNOFF MODELING;

EID: 34447100952     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2007.05.008     Document Type: Article

References (13)

1. Beven K.J. Rainfall-Runoff Modelling: the Primer (2001), John Wiley, New York
2. Cai X., McKinney D.C., and Lasdon L.S. Solving nonlinear water management models using a combined genetic algorithm and linear programming approach. Advances in Water Resources 24 6 (2001) 667-676
3. Chow V.T., Maidment D.R., and Mays L.W. Applied Hydrology (1988), McGraw-Hill, New York
4. Cooper V.A., Nguyen V.T.V., and Nicell J.A. Evaluation of global optimization methods for conceptual rainfall-runoff model calibration. Water Science and Technology 36 5 (1997) 53-60
5. Dumitrescu D. Evolutionary computation. CRC Press International Series on Computational Intelligence (2000), CRC Press, Boca Raton, FL
6. Erickson M., Mayer A., and Horn J. Multi-objective optimal design of groundwater remediation systems: application of the niched Pareto genetic algorithm (NPGA). Advances in Water Resources 25 1 (2002) 51-65
7. Franchini M., Wendling J., Obled C., and Todini E. Physical interpretation and sensitivity analysis of the TOPMODEL. Journal of Hydrology 175 1-4 (1996) 293-338
8. Goldberg D.E. Genetic Algorithms in Search, Optimization, and Machine Learning (1989), Addison-Wesley, Massachusetts
9. Lin, G.F., Wang, C.M., 2007. A nonlinear rainfall-runoff model embedded with an automated calibration method. Part 1. The model. Journal of Hydrology, doi:10.1016/j.jhydrol.2007.05.009.
10. Nash J.E., and Sutcliffe J.V. River flow forecasting through conceptual models. Part 1: A discussion of principles. Journal of Hydrology 10 3 (1970) 282-290
11. Reeves C. Genetic algorithms for the operations researcher. INFORMS Journal on Computing 9 3 (1997) 231-250
12. Sajikumar N., and Thandaveswara B.S. A non-linear rainfall-runoff model using an artificial neural network. Journal of Hydrology 216 1-2 (1999) 32-55
13. Wang Q.J. Using genetic algorithms to optimise model parameters. Environmental Modeling & Software 12 1 (1997) 27-34