Online flood forecasting in fast responding catchments on the basis of a synthesis of artificial neural networks and process models

A detailed and comprehensive description of the state of the art in the field of flood forecasting opens this work. Advantages and shortcomings of currently available methods are identified and discussed. Amongst others, one important aspect considers the most exigent weak point of today’s forecasti...

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Bibliographic Details
Main Author: Cullmann, Johannes
Other Authors: Technische Universität Dresden, Hydrowissenschaften
Format: Doctoral Thesis
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2007
Subjects:
Online Access:http://nbn-resolving.de/urn:nbn:de:swb:14-1175614939296-54836
http://nbn-resolving.de/urn:nbn:de:swb:14-1175614939296-54836
http://www.qucosa.de/fileadmin/data/qucosa/documents/1798/1175614939296-5483.pdf