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

Chair of Hydraulic and Water Resources Engineering, Technical University Munich, 80333 Munich, Germany
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Academic Editors: Sameh Kantoush, Tetsuya Sumi and Doan Van Binh
Water 2021, 13(6), 818; https://doi.org/10.3390/w13060818
Received: 17 February 2021 / Revised: 12 March 2021 / Accepted: 13 March 2021 / Published: 16 March 2021
(This article belongs to the Special Issue Sediment Transport and River Morphology)
Reservoir sedimentation is a critical issue worldwide, resulting in reduced storage volumes and, thus, reservoir efficiency. Moreover, sedimentation can also increase the flood risk at related facilities. In some cases, drawdown flushing of the reservoir is an appropriate management tool. However, there are various options as to how and when to perform such flushing, which should be optimized in order to maximize its efficiency and effectiveness. This paper proposes an innovative concept, based on an artificial neural network (ANN), to predict the volume of sediment flushed from the reservoir given distinct input parameters. The results obtained from a real-world study area indicate that there is a close correlation between the inputs—including peak discharge and duration of flushing—and the output (i.e., the volume of sediment). The developed ANN can readily be applied at the real-world study site, as a decision-support system for hydropower operators. View Full-Text
Keywords: reservoir flushing; sedimentation; artificial neural networks; ANN; Saalach reservoir flushing; sedimentation; artificial neural networks; ANN; Saalach
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MDPI and ACS Style

Reisenbüchler, M.; Bui, M.D.; Rutschmann, P. Reservoir Sediment Management Using Artificial Neural Networks: A Case Study of the Lower Section of the Alpine Saalach River. Water 2021, 13, 818. https://doi.org/10.3390/w13060818

AMA Style

Reisenbüchler M, Bui MD, Rutschmann P. Reservoir Sediment Management Using Artificial Neural Networks: A Case Study of the Lower Section of the Alpine Saalach River. Water. 2021; 13(6):818. https://doi.org/10.3390/w13060818

Chicago/Turabian Style

Reisenbüchler, Markus; Bui, Minh D.; Rutschmann, Peter. 2021. "Reservoir Sediment Management Using Artificial Neural Networks: A Case Study of the Lower Section of the Alpine Saalach River" Water 13, no. 6: 818. https://doi.org/10.3390/w13060818

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