Deep learning under H2O framework: A novel approach for quantitative analysis of discharge coefficient in sluice gates

Gates in dams and irrigation canals have been used for the purpose of controlling discharge or water surface regulation. To compute the discharge under a gate, discharge coefficient (Cd) should be first determined precisely. From a novel point of view, this study investigates the effect of sill shap...

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Bibliographic Details
Published in:Journal of hydroinformatics 2020-11, Vol.22 (6), p.1603-1619
Main Authors: Ghorbani, Mohammad Ali, Salmasi, Farzin, Saggi, Mandeep Kaur, Bhatia, Amandeep Singh, Kahya, Ercan, Norouzi, Reza
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Canals
Deep learning
Dimensionless analysis
Discharge coefficient
Flow rates
Flow velocity
Generalized linear models
Hydraulic radius
Hydraulics
Irrigation
Irrigation canals
Laboratories
Machine learning
Neural networks
Parameter sensitivity
Quantitative analysis
Reynolds number
Sensitivity analysis
Shape
Shape effects
Sills
Sluice gates
Statistical models
Water discharge
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Summary:Gates in dams and irrigation canals have been used for the purpose of controlling discharge or water surface regulation. To compute the discharge under a gate, discharge coefficient (Cd) should be first determined precisely. From a novel point of view, this study investigates the effect of sill shape under the vertical sluice gate on Cd using four artificial intelligence methods, which are used to estimate Cd, (i) random forest (RF), (ii) deep learning (DL), (iii) gradient boosting machine (GBM), and (iv) generalized linear model (GLM). A sluice gate along with twelve different forms of sills was fabricated and tested in the University of Tabriz, Iran. Different flow rates were considered in the hydraulic laboratory with four gate openings. As a result, a total of 180 runs could be tested. The results showed that the installation of sill under the vertical gate has a positive effect on flow discharge. Sill shapes can be characterized by their hydraulic radius (Rs). Sensitivity analysis among the dimensionless parameters proved that Rs/G (the ratio of the hydraulic radius of the sills with respect to the gate opening) has a significant role in the determination of Cd. A semi-circular sill shape has a more positive effect on the increase of Cd than the other shapes.
ISSN:1464-7141
1465-1734
DOI:10.2166/hydro.2020.003