Simulation of flood flow in a river system using artificial neural networks

Hydrology and Earth System Sciences

Volumn 9, Issue 4, 2005, Pages 313-321

  Shrestha, Rajesh Raj ^a   Theobald, Stephan ^b   Nestmann, Franz ^b  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

Activation function; Artificial neural networks; Backpropagation; Hydrodynamic numerical model; Multilayer perception; Neckar River

Indexed keywords

ARTIFICIAL NEURAL NETWORK; FLOOD FORECASTING; FLOODING; FLOW MODELING; PEAK FLOW;

CENTRAL EUROPE; EASTERN HEMISPHERE; EURASIA; EUROPE; GERMANY; NECKAR RIVER; WORLD;

EID: 27644448548     PISSN: 10275606     EISSN: None     Source Type: Journal    
DOI: 10.5194/hess-9-313-2005     Document Type: Article

References (14)

1. ASCE Task Committee on Application of Artificial Neural Networks in Hydrology, 2000. Artificial neural networks in hydrology II: Hydrologic applications. J. Hydrolog. Eng.-ASCE, 5, 124-137.
2. Dawson, C.W. and Wilby, R.B., 1999. A comparison of artificial neural networks for flow forecasting. Hydrol. Earth Syst. Sci., 3, 529-540.
3. Dawson, C.W., Harpham C., Wilby, R.B. and Chen, Y., 2002. Evaluation of artificial neural network techniques for flow forecasting in River Yangtze, China. Hydrol. Earth Syst. Sci., 6, 619-626.
4. Demuth, H. and Beale M., 2000. Neural network toolbox user's guide. The Math Works Inc. Online documentation: http://www.mathworks.com/access/ helpdesk/help/toolbox/nnet/
5. Dolling, O.R. and Veras, E.A., 2002. Artificial neural networks for streamflow prediction. J. Hydraul. Res., 40, 547-554.
6. Haykin, S., 1994. Neural networks a comprehensive foundation (1st Edition). Macmillan College Publishing Company, Inc., New York.
7. Imrie, C. E., Durucan, S. and Korre, A., 2000. River flow prediction using artificial neural networks: generalisation beyond calibration range. J. Hydrol., 233, 138-153.
8. Lekkas, D.F., Imrie, C.E. and Lees M.J., 2001. Improved nonlinear transfer function and neural network methods for flow routing for real-time flood forecasting. J. Hydroinformatics, 3, 153-164.
9. Minns, A.W., 1996. Extended rainfall-runoff modelling using artificial neural networks, A. Müller (Ed.), Proc. Hydroinformatics '96, Balkema, Rotterdam, the Netherlands. 207-213.
10. Shamseldin, A.Y., Nasr, A.E. and O'Connor, K.M., 2002. Comparison of different forms of the multi-layer feed-forward neural network method used for river flow forecasting. Hydrol. Earth Syst. Sci., 6, 671-684.
11. Shrestha, R.R., 2003. Flood routing using artificial neural networks. Proc. XXX IAHR Congress, JF Kennedy Student Paper Competition, Thessaloniki, Greece.
12. Sivakumar, B., Jayawardena, A.W. and Fernando, T.M.K.G., 2002. River flow forecasting: use of phase-space reconstruction and artificial neural networks approaches. J. Hydrol., 265, 225-245.
13. Solas, J.D., Markus, M. and Tokar, A.S., 2000. Streamflow forecasting based on artificial neural networks. In: Artificial neural networks in hydrology, R.S. Govindaraju and A. Ramachandra Rao (Eds.), Kluwer Academic Publishers, Dordrecht, The Netherlands. 23-51.
14. Thirumalaiah, K. and Deo, M.C., 1998. River stage forecasting using artificial neural networks. J. Hydrolog. Eng.-ASCE, 3, 26-31.