We investigate the performance of a novel vertical slot fishway by employing finite volume and surrogate models. Multiple linear regression, multiple log equation regression, gene expression programming, and combinations of these models are employed to predict the maximum turbulence, maximum velocity, resting area, and water depth of the middle pool in the fishway. The statistical parameters and error terms, including the coefficient of determination, root mean square error, normalized square error, maximum positive and negative errors, and mean absolute percentage error were employed to evaluate and compare the accuracy of the models. We also conducted a parametric study. The independent variables include the opening between baffles (OBB), the ratio of the length of the large and small baffles, the volume flow rate, and the angle of the large baffle. The results show that the key parameters of the maximum turbulence and velocity are the volume flow rate and OBB.

我们通过采用有限体积和替代模型来研究新型垂直槽鱼道的性能。采用多元线性回归，多元对数方程回归，基因表达程序设计以及这些模型的组合来预测鱼道中层池的最大湍流，最大速度，静止面积和水深。统计参数和误差项（包括确定系数，均方根误差，归一化平方误差，最大正负误差和平均绝对百分比误差）用于评估和比较模型的准确性。我们还进行了参数研究。自变量包括挡板之间的开口（OBB），大挡板和小挡板的长度之比，体积流量和大挡板的角度。结果表明，最大湍流和速度的关键参数是体积流量和OBB。