Evaluation of global optimization methods for conceptual rainfall-runoff model calibration

Water Science and Technology

Volumn 36, Issue 5, 1997, Pages 53-60

  Cooper, V A ^a   Nguyen, V T V ^a   Nicell, J A ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Conceptual rainfall runoff models; Genetic algorithms; Global optimization; Model calibration; Shuffled complex evolution method; Simulated annealing

Indexed keywords

CONCEPTUAL RAINFALL RUNOFF (CRR) MODELS; GLOBAL OPTIMIZATION METHODS (GOM); OBJECTIVE FUNCTIONS; SHUFFLED COMPLEX EVOLUTION (SCE) METHOD;

CONVERGENCE OF NUMERICAL METHODS; FUNCTIONS; GENETIC ALGORITHMS; ITERATIVE METHODS; MATHEMATICAL MODELS; PROBABILITY; RAIN; RUNOFF; SIMULATED ANNEALING;

HYDROLOGY;

RAIN; RUNOFF;

CALIBRATION; GLOBAL OPTIMIZATION METHOD; RAINFALL/RUNOFF MODEL;

ALGORITHM; CALIBRATION; CONFERENCE PAPER; MODEL; TECHNIQUE; WATER FLOW;

EID: 0030714137     PISSN: 02731223     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0273-1223(97)00461-7     Document Type: Conference Paper

References (14)

1. Duan, Q, Sorooshian, S and Gupta, V K (1992). Effective and efficient global optimization for conceptual rainfall-runoff models. Wat. Resour. Res. 28(4), 1015-1031.
2. Franchini, M, and Pacciani, M (1991). Comparative analysis of several conceptual rainfall-runoff models, J. Hydrol., 122, 161-219.
3. Gan, T. Y., and Biftu, G F (in press). Automatic calibration of conceptual rainfall-runoff models: Optimization algorithms, catchment conditions, and model structure. Wat. Resour. Res.
4. Gupta, V K, and Sorooshian, S (1985). The automatic calibration of conceptual catchment models using derivative-based optimization algorithms, Wat. Resour. Res., 21(4), 473-485.
5. Hunter, A (1995). SUGAL User Manual, University of Sunderland, United Kingdom.
6. Johnston, P R, and Pilgrim, D H (1976). Parameter optimization for watershed models, Wat. Resour. Res., 12(3), 477-486.
7. Kirkpatrick, S, Gelatt, C D, and Vecchi, M P (1983). Optimization by simulated annealing. Science, 220(4598), 671-680.
8. Neider, J A and Mead, R (1965). A simplex method for function minimization, Comput. J., 7(4), 308-313.
9. Press, W H, Teukolsky, S A, Vetterling W T, and Flannery, B P (1992). Numerical Recipes in Fortran, Cambridge University Press, Cambridge.
10. Rinnooy Kan, A H G, and Timmer, G T (1987). Probabilistic global optimization methods part 1: clustering methods, Math. Prog. 39, 27-56.
11. Sorooshian, S, and Gupta, V K (1985). The analysis of structural identifiability: theory and application to conceptual rainfall-runoff models, Wat. Resour. Res., 21(4), 487-495.
12. Sugawara, M, Watanabe, I, Ozaki, E, and Katsuyama, Y (1984). Tank Model with Snow Component. National Research Center for Disaster Prevention Science and Technology Agency, Japan.
13. Wang, Q J (1991). The genetic algorithms and its application to calibrating conceptual rainfall-runoff models, Wat. Resour. Res., 27(9), 2467-2471.
14. World Meteorological Organization (1975). Intercomparison of conceptual models used in operational hydrological forecasting. Operational Hydrology Report No. 7, Geneva, Switzerland.