Runoff modelling through back propagation artificial neural network with variable rainfall-runoff data

Water Resources Management

Volumn 18, Issue 3, 2004, Pages 285-300

  Agarwal, Avinash ^a   Singh, R D ^a  

^a NATIONAL INSTITUTE OF HYDROLOGY   (India)

Author keywords

Back propagation artificial neural network; Rainfall runoff modelling; Transfer function model

Indexed keywords

BACKPROPAGATION; MATHEMATICAL MODELS; NEURAL NETWORKS; RIVERS;

BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN) MODELS; CROSS-VALIDATION; LINEAR TRANSFER FUNCTION (LTF) MODEL;

RUNOFF;

ARTIFICIAL NEURAL NETWORK; HYDROLOGICAL MODELING; RAINFALL-RUNOFF MODELING; RIVER BASIN;

ASIA; EURASIA; INDIA; NARMADA BASIN; SOUTH ASIA;

EID: 4644274685     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:WARM.0000043134.76163.b9     Document Type: Article

References (25)

1. Akaike, H.: 1974, 'A new look at the statistical model identification', IEEE Trans. Autom. Control. AC-19, 716-723.
2. Anmala, J., Bin Zhang and Rao Govindaraju: 2000, 'Comparison of ANN's and empirical approaches for predicting watershed runoff', J. Water Res. Plann. Manage. 126(3), 156-166.
3. Box, G. E. P. and Jenkins, G. M.: 1976, 'Time Series Analysis Forecasting and Control', Holden-Day Press. San Francisco, California, U.S.A.
4. Dawson, C. W. and Wilby, R.: 1998, 'An artificial neural network approach to rainfall-runoff modelling', Hydrol. Sci. J. 43(1), 47-66.
5. Dooge, J. C. I.: 1973, 'Linear Theory of Hydrologic Systems', Agriculture Research Services. U.S. Department of Agriculture., Washington. D.C., Technical Bulletin No. 1468.
6. Dooge, J. C. I.: 1977, 'Problems and Methods of Rainfall-runoff Modelling', in T. A. Cirani, V. Maione and J. R. Wallis (eds), Mathematical Models for Surface Water Hydrology, Wiley, New York.
7. Fernando, D. A. K. and Jayawardena, A. W.: 1998, 'Runoff forecasting using RBF networks with OLS algorithm', J. Hydrol. Eng. 3(3), 203-209.
8. French, M. N., Krajeswski, W. F. and Cuykendall, R. R.: 1992, 'Rainfall forecasting in space and time using a neural network', J. Hydrol. 137, 1-31.
9. Fu, Limin: 1996, 'Neural Networks in Computer Intelligence',McGraw - Hill, Inc., New York.
10. Hipel, K. W., Ian, A.,Panu, U. S. and Singh, V. P.: 1994, 'Stochastic and Statistical Methods in Hydrology and Environmental Engineering', Vol. 3, The Series Analysis in Hydrology and Environmental Engineering, The Netherlands, Kluwer Academic Publishers.
11. Hsu, Kuo-lin, Gupta, H. V. and Soroosh, Sorooshian: 1995, 'Artificial neural network modelling of the rainfall-runoff process', Water Res. Res. 31(10), 2517-2530.
12. Johnston, J.: 1972, 'Econometric Methods', McGraw Hill, Tokyo.
13. Karnin, E. D.: 1990, 'A simple procedure for pruning back propagation trained neural networks', Institute of Electrical and Electronics Engineers Transactions Neural Networks, Vol. 1(20): 239-242.
14. Lorrai, M. and Sechi, G. M.: 1995, 'Neural nets for modelling rainfall-runoff transformations', Water Res. Manage. 9, 299-313.
15. Nash, J. E. and Suteliffe, J. V.: 1970, 'River flow forecasting through conceptual models', J. Hydrol. 10, 282-290.
16. Raman, H. and Sunilkumar, N.: 1995, 'Multivariate modelling of water resources time series using artificial neural networks', Hydrol. Sci. J. 40(1), 145-163.
17. Rissanen, J.: 1978, 'Modeling by short data description', Automation 14, 465-471.
18. Rumelhart, D. E., Hinton, G. E. and Williams, R. J.: 1986, 'Learning internal representations by error propagation', Parallel Distributed Processing, Vol. I. MIT Press, Cambridge, Mass., 318-362.
19. Shamseldin, A. Y., O'Connor, K. M. and Liang, G. C.: 1997, 'Methods for combining the outputs of different rainfall-runoff models', J. Hydrol. 197, 203-229.
20. Shamseldin, A. Y.: 1997, 'Application of a neural network technique to rainfall-runoff modelling', J. Hydrol. 199, 272-294.
21. Thirumalaiash, K. and Deo, M. C.: 1998, 'River stage forecasting using artificial neural networks', J. Hydrol. Engin. 3(1), 26-32.
22. Tokar, A. S. and Johnson, P. A.: 1999, 'Rainfall-runoff modelling using artificial neural networks', J. Hydrol. Engin. 4(3), 232-239.
23. Tokar, A. S. and Markus, M.: 2000, 'Precipitation-runoff modelling using artificial neural networks and conceptual models', J. Hydrol. Engin. 5(1), 156-161.
24. Vemuri, V. Rao.: 1992, 'Artificial Neural Networks : Concepts and Control Application', Los Alamitos, California. IEEE Computer Society Press. pp 509.
25. Zealand, C. M., Burn, D. H. and Simonovic, S. P.: 1999, 'Short term streamflow forecasting using artificial neural networks', J. Hydrol. 214, 32-48.