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 (C_d) 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 C_d using four artificial intelligence methods, which are used to estimate C_d, (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 (R_s). Sensitivity analysis among the dimensionless parameters proved that R_s/G (the ratio of the hydraulic radius of the sills with respect to the gate opening) has a significant role in the determination of C_d. A semi-circular sill shape has a more positive effect on the increase of C_d than the other shapes.

大坝和灌溉渠中的闸门已用于控制流量或水面调节。为了计算闸门下的放电，应该首先精确确定放电系数（C _d）。从一个新颖点，本研究调查门槛形状对垂直闸门下的效果Ç _d使用四个人工智能方法，其被用来估计Ç _d，（i）随机森林（RF），（ii）深度学习（DL），（iii）梯度提升机（GBM）和（iv）广义线性模型（GLM）。在伊朗的大不里士大学制造并测试了水闸和十二种不同形式的门槛。在具有四个闸门开口的水力实验室中考虑了不同的流量。结果，总共可以测试180次。结果表明，竖门下的门槛安装对流量排放有积极作用。窗台形状可以通过其水力半径（R _s）来表征。无量纲参数之间的灵敏度分析证明R _s / G（门槛的水力半径相对于门的开度的比率）在确定C _d方面起着重要作用。半圆形的门槛形状对C _d的增加具有比其他形状更积极的作用。