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Title:

Development of an ANN-based tool for sediment management at run-of-river reservoirs

Document type:
Konferenzbeitrag
Author(s):
Reisenbüchler, Markus, Bui, Minh Duc; Rutschmann, Peter
Pages contribution:
p. 112
Chapter contribution:
Session 14, River Sediment Transport
Absract (alternative):
Introduction Reservoirs are needed for many fundamental tasks like agriculture, drinking water supply, flood protection, and energy production. For each of the listed demands, sustainable management of the reservoir is of great importance in designing the storage volume of water. However, sedimentation threatens this storage volume worldwide (Schleiss et al., 2016). In addition, a reduced retention volume due to sedimentation might also increase the danger potential of floods (Reisenbüc...     »
Keywords:
sediment management for dams; reservoirs; river sediment transport; Artificial-Neural-Network (ANN); sustainability; EU Horizon 2020 FIThydro project
Dewey Decimal Classification:
620 Ingenieurwissenschaften
Horizon 2020:
EU Horizon 2020 FIThydro project
Editor:
Heide Friedrich; Karin Bryan
Book / Congress title:
11th River, Coastal and Estuarine Morphodynamics Symposium RCEM 2019, Auckland, New Zealand
Edition:
Book of Abstracts
Date of congress:
16 - 21 November 2019
Publisher:
University of Auckland
Publisher address:
Auckland, New Zealand
Date of publication:
01.12.2019
Year:
2019
Pages:
XXIV, 226
E-ISBN:
978-0-473-50422-9
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:https://auckland.figshare.com/articles/book/RCEM_2019_Book_of_Abstracts/11301827/1
Copyright statement:
Open Access. License: University of Auckland, Auckland, New Zealand (CC BY 4.0)
Format:
Text
CC license:
by, http://creativecommons.org/licenses/by/4.0
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