Multireservoir Flood-Control Optimization with Neural-Based Linear Channel Level Routing Under Tidal Effects |
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Authors: | Chih-Chiang Wei Nien-Sheng Hsu |
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Affiliation: | (1) Department of Information Management, Toko University, No. 51, Sec. 2, University Rd., Pu-Tzu City, Chia-Yi County, 61363, Republic of China;(2) Department of Civil Engineering, National Taiwan University, No. 1 Sec. 4, Roosevelt Rd., Taipei, 106, Republic of China |
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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. |
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Keywords: | Flood control Reservoir Optimization Neural networks Tidal effects |
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