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Journal of Hydraulic Research Volume 59, 2021 - Issue 4
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Technical Note

Flow condition identification and discharge calibration for submerged radial gates

Yong-Xin Guoa Senior Engineer, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, PR China Email: [email protected]View further author information
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Xin-Lei Guob (IAHR Member), Professor of Engineering, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, PR ChinaCorrespondence[email protected]
View further author information
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Yi-Sen Wangc Professor of Engineering, Construction Committee of South-to-North Water Diversion of State Council, Beijing, PR China Email: [email protected]View further author information
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Tao Wangd (IAHR Member), Professor of Engineering, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, PR China Email: [email protected]View further author information
,
Hui Fue Senior Engineer, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, PR China Email: [email protected]View further author information
&
Jia-Zhen Lif Senior Engineer, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, PR China Email: [email protected]View further author information
Pages 683-690 | Received 13 Apr 2019, Accepted 19 Aug 2020, Published online: 07 Dec 2020

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Hai Tao, Mehdi Jamei, Iman Ahmadianfar, Khaled Mohamed Khedher, Aitazaz Ahsan Farooque & Zaher Mundher Yaseen. (2022) Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios. Engineering Applications of Computational Fluid Mechanics 16:1, pages 1-19.
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Articles from other publishers (2)

Kiyoumars Roushangar, Saman Shahnazi & Arman Alirezazadeh Sadaghiani. (2022) An efficient hybrid grey wolf optimization-based KELM approach for prediction of the discharge coefficient of submerged radial gates. Soft Computing 27:7, pages 3623-3640.
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Kiyoumars Roushangar, Arman Alirezazadeh Sadaghiani & Saman Shahnazi. (2023) Novel application of robust GWO-KELM model in predicting discharge coefficient of radial gates: a field data-based analysis. Journal of Hydroinformatics 25:2, pages 275-299.
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