Flood routing modelling with Artificial Neural Networks
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
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
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 131-136 |
Seitenumfang | 6 |
Fachzeitschrift | Advances in Geosciences |
Jahrgang | 9 |
Publikationsstatus | Veröffentlicht - 2006 |
Peer-Review-Status | Ja |
Externe IDs
Scopus | 33749234378 |
---|---|
RIS | urn:842AE9B821C5BD08A6008EC771237BFE |
ORCID | /0000-0003-0473-2973/work/170586459 |