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Titel:

Reservoir Sediment Management Using Artificial Neural Networks: A Case Study of the Lower Section of the Alpine Saalach River.

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Reisenbüchler, Markus; Bui, Minh Duc; Rutschmann, Peter:
Abstract:
The estimation of scour depths is extremely important in designing the foundation of piers which ensure the integrity of bridges and other hydraulic structures. Complicated hydrodynamic processes around piers are the main challenge to formulate explicitly empirical equations in providing scour depth estimation. Consequently, the proposed empirical formulae only yield good prediction results for specific conditions. In this study, the particle swarm optimization and Firefly algorithms are pro...     »
Stichworte:
reservoir flushing; sedimentation; artificial neural networks; ANN; Saalach
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften
Zeitschriftentitel:
Water
Jahr:
2021
Band / Volume:
13
Heft / Issue:
6
Seitenangaben Beitrag:
Article No. 818, 15 pages
Nachgewiesen in:
Scopus; Web of Science
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.3390/w13060818
WWW:
https://doi.org/10.3390/w13060818
Verlag / Institution:
Molecular Diversity Preservation International (MDPI)
Verlagsort:
Basel, Switzerland
E-ISSN:
2073-4441
Impact Factor:
3.103 (2020)
Copyright Informationen:
Open Access. Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Format:
Text
CC-Lizenz:
by, http://creativecommons.org/licenses/by/4.0
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