Technical Papers
Feb 12, 2019

Discharge Assessment in Straight Open Channels with Partial Ice Cover

Publication: Journal of Cold Regions Engineering
Volume 33, Issue 2

Abstract

This paper develops an analytical model for discharge assessment in straight channels with partial ice cover. The flow section of a partly covered channel was laterally divided into several homogeneous subsections, which were further classified into six basic elements according to the solid boundary conditions. In each basic element, the momentum balance, which accounts for momentum exchange between the adjacent subsections, was analyzed. Then, a linear system with a tridiagonal coefficient matrix was presented to estimate discharge in the partly covered channel. Experimental data collected from the literature were used to examine the performance of the proposed method and compare its accuracy with traditional methods for discharge assessment in composite or compound channels. The comparative results indicated that the proposed method produces satisfactory predictions, and the traditional methods were shown to be inappropriate for stage-discharge predictions in partly covered channels. In addition, the main parameters presented in the proposed model were discussed.

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Acknowledgments

Financial support for this work was provided by the Major Science and Technology Program for Water Pollution Control and Treatment (No. 2013ZX07102-006) and the Natural Science Foundation of China (No. 51109165). The authors are grateful to the anonymous reviewers for providing numerous constructive suggestions.

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Go to Journal of Cold Regions Engineering
Journal of Cold Regions Engineering
Volume 33Issue 2June 2019

History

Received: Sep 27, 2017
Accepted: Oct 2, 2018
Published online: Feb 12, 2019
Published in print: Jun 1, 2019
Discussion open until: Jul 12, 2019

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Authors

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Ph.D. Candidate, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai Univ., Nanjing 210098, China; Engineer, Planning Dept., Yunnan Survey and Design Institute of Water Conservancy and Hydropower, Kunming 650021, China (corresponding author). ORCID: https://orcid.org/0000-0001-7491-257X. Email: [email protected]
Ben Li
Associate Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China.
Shixiang Gu
Professor, Planning Dept., Yunnan Survey and Design Institute of Water Conservancy and Hydropower, Kunming 650021, China.
Ya Zhong
Ph.D. Candidate, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China.

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