Using gene expression programming to develop a combined runoff estimate model from conventional rainfall-runoff model outputs

18th World IMACS Congress and MODSIM 2009 - International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings

Volumn , Issue , 2009, Pages 748-754

  Fernando, D A K ^a   Shamseldin, A Y ^b   Abrahart, R J ^c  

^a UNITEC INSTITUTE OF TECHNOLOGY   (New Zealand)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Combination models; Gene expression programming; Over fitting; Rainfall runoff models

Indexed keywords

CATCHMENTS; DIGITAL STORAGE; ESTIMATION; FLOW OF WATER; GENE EXPRESSION; RAIN; RIVERS; SOFT COMPUTING; SOIL MOISTURE;

GENE EXPRESSION PROGRAMMING; LINEAR PERTURBATIONS; MATHEMATICAL EQUATIONS; MATHEMATICAL EXPRESSIONS; PERMUTATIONS AND COMBINATIONS; RAINFALL-RUNOFF MODELING; RAINFALL-RUNOFF MODELS; SOIL MOISTURE ACCOUNTING AND ROUTING;

RUNOFF;

EID: 85086240676     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Abrahart, R. J., & See, L. M. (2002). Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments. Hydrology and Earth System Sciences, 6(4), 655-670.
2. Coulibaly, P., Hache, M., Fortin, V., & Bobee, B. (2005). Improving Daily reservoir inflow forecasts with model combination. ASCE Journal of Hydrologic Engineering, 10(2), 91-99.
3. Ferreira, C. (2001). Gene Expression Programming: A New Adaptive Algorithm for Solving Problems. Complex Systems, 13(2), 87-129.
4. Ferreira, C. (2006). Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence. Germany: 2nd Edition, Springer-Verlag.
5. See, L., & Openshaw, S. (2000). A hybrid multi-model approach to river level forecasting. Hydrological Sciences Journal 45(4), 523-536.
6. Shamseldin, A. Y., O'Connor, K. M., & Liang, G. C. (1997). Methods for combining the outputs of different rainfall-runofff models. Journal of Hydrology, 197(1-4), 203-229.
7. Shamseldin, A. Y., & O'Connor, K. M. (1999). A Real-Time Combination Method for the Outputs of Different Rainfall-Runoff Models. Hydrological Sciences Journal, 44(6), 895-912.
8. Shamseldin, A. Y., O'Connor, K. M., & Nasr, A. E. (2007). A comparative study of three neural network forecast combination methods for simulated river flows of different rainfall-runoff models. Hydrological Sciences Journal, 52(5), 896-916.
9. Steeb, W.H., Hardy, Y., & Stoop, R. (2005). The Nonlinear Workbook. Singapore: World Scientific Publishing Company Inc.