Flood routing modelling with Artificial Neural Networks

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

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 HECRAS has been applied. Furthermore, this model was used to generate a database to train multilayer feedforward networks. 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.

Details

Original languageEnglish
Pages (from-to)131-136
Number of pages6
JournalAdvances in Geosciences
Volume9
Publication statusPublished - 2006
Peer-reviewedYes

External IDs

Scopus 33749234378
RIS urn:842AE9B821C5BD08A6008EC771237BFE
ORCID /0000-0003-0473-2973/work/170586459

Keywords