Multireservoir Flood-Control Optimization with Neural-Based Linear Channel Level Routing Under Tidal Effects

Chih-Chiang Wei () and Nien-Sheng Hsu ()

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2008, vol. 22, issue 11, 1625-1647

Abstract: In order to determine the optimal hourly releases from reservoirs under the estuary tidal effects during typhoon periods, this paper develops a generalized multipurpose multireservoir optimization model for basin-scale flood control. The model objectives include: preventing the reservoir dam and the downstream river embankment from overtopping, and meeting reservoir target storage at the end of flood. The model constraints include the reservoir operations and the neural-based linear channel level routing. The proposed channel level routing developed from the feed-forward back-propagation neural network is employed to estimate the downstream water levels. The developed optimization model has been applied to the Tanshui River Basin system in Taiwan. The results obtained by the optimization model, in contrast to historical records, demonstrate successfully the practicability in solving the problem of flood control operations. Copyright Springer Science+Business Media B.V. 2008

Keywords: Flood control; Reservoir; Optimization; Neural networks; Tidal effects (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (11)

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DOI: 10.1007/s11269-008-9246-8

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