Application of Genetic Programming to Flow Routing in Simple and Compound Channels
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VIEW THE REPLYPublication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 12
Abstract
Hydraulic methods can model channel flow with high accuracy using data related to channel geometry and flow regime that render the computational effort burdensome. In contrast, hydrologic methods apply simplifying assumptions in their algorithms for flow routing. This paper implements genetic programming (GP) to calculate hydrographs in simple and compound channels. Predicted hydrographs for the simple and compound channels are compared with those predicted by a Muskingum model and a one-dimensional (1D) coupled characteristic-dissipative-Galerkin (CCDG-1D) procedure. Results show that the differences between predicted hydrographs by GP and modeled hydrographs by the Muskingum and CCDG-1D methods are similar in simple and compound channels. Moreover, GP yields acceptable predicted hydrographs with decreased computational burden. These results indicate that the proposed GP method is effective in the prediction of open-channel flow.
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Acknowledgments
We thank Prof. F. E. Hicks, University of Alberta, for providing the case study data.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 142 • Issue 12 • December 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Apr 24, 2015
Accepted: Jul 6, 2016
Published online: Aug 23, 2016
Published in print: Dec 1, 2016
Discussion open until: Jan 23, 2017
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