Advances in Geosciences
www.adv-geosci.net
1680-7340
1680-7359
9
Integration of hydrological models on different spatial and temporal scales
2006
10.5194/adgeo-9-131-2006
http://www.adv-geosci.net/9/131/2006/
http://www.adv-geosci.net/9/131/2006/adgeo-9-131-2006.html
http://www.adv-geosci.net/9/131/2006/adgeo-9-131-2006.pdf
131
136
2006-09-26
Flood routing modelling with Artificial Neural Networks
R. Peters
ronny.peters@tu-dresden.de
G. Schmitz
J. Cullmann
Institute of Hydrology and Meteorology, University of Technology, Dresden, Germany
For the modelling of the flood routing in the lower reaches of the
Freiberger Mulde river and its tributaries the one-dimensional hydrodynamic
modelling system HEC-RAS has been applied. Furthermore, this model was used
to generate a database to train multilayer feedforward networks.
<P>
To guarantee numerical stability for the hydrodynamic modelling of some 60 km
of streamcourse an adequate resolution in space requires very
small calculation time steps, which are some two orders of magnitude smaller
than the input data resolution. This leads to quite high computation
requirements seriously restricting the application – especially when dealing
with real time operations such as online flood forecasting.
<P>
In order to solve this problem we tested the application of Artificial
Neural Networks (ANN). First studies show the ability of adequately trained
multilayer feedforward networks (MLFN) to reproduce the model performance.
Hagan, M. T., Demuth, H. B., and Beale, M.: Neural Network Design, PWS Publishing Company, Boston, 1996.
Hornik, K. M., Stinchcombe, M., and White, H.: Multilayer feedforward networks are universal approximators, Neural Networks, 2, 5, 359–366, 1989.
Minns, A. W. and Hall, M. J.: Artificial neural networks as rainfall-runoff models, Hydrol. Sci., 41, 399–417, 1996.
Shrestha, R. R., Theobald, S., and Nestmann, F.: Simulation of flood flow in a river system using artificial neural networks, Hydrol. Earth Syst. Sci., 9(4), 313–321, 2005.
USACE1: US-Army Corps of Engineers, HEC-River Analysis System. Hydraulic Reference Manual, Version 3.1, http://www.hec.usace.army.mil/software/hec-ras/, 2002.
USACE2: US-Army Corps of Engineers. HEC-GeoRAS, An extension for support of HEC-RAS using ArcView, http://www.hec.usace.army.mil/software/hec-ras/, 2002.