A novel ensemble model for predicting the performance of a novel vertical slot fishway

doi:10.1007/s11709-020-0664-x

Frontiers of Structural and Civil Engineering

2020, Vol. 14

Issue (6): 1418-1444 https://doi.org/10.1007/s11709-020-0664-x

本期目录

A novel ensemble model for predicting the performance of a novel vertical slot fishway

Aydin SHISHEGARAN¹(

), Mohammad SHOKROLLAHI², Ali MIRNOROLLAHI², Arshia SHISHEGARAN³, Mohammadreza MOHAMMAD KHANI⁴

¹. Department of Water and Environmental Engineering, School of Civil Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran
². Department of Water and Environmental Engineering, School of Civil Engineering, Semnan University, Semnan 35131-19111, Iran
³. Department of Water and Environmental Engineering, School of Civil Engineering, Islamic Azad University Central Tehran Branch, Tehran 1987745815, Iran
⁴. School of Progress Engineering, Iran University of Science and Technology, Tehran 1684613114, Iran

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Abstract：

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.

Key words： novel vertical slot fishway parametric study finite volume method ensemble model gene expression programming

收稿日期: 2019-11-21 出版日期: 2021-01-12

Corresponding Author(s): Aydin SHISHEGARAN

引用本文:

. [J]. Frontiers of Structural and Civil Engineering, 2020, 14(6): 1418-1444.
Aydin SHISHEGARAN, Mohammad SHOKROLLAHI, Ali MIRNOROLLAHI, Arshia SHISHEGARAN, Mohammadreza MOHAMMAD KHANI. A novel ensemble model for predicting the performance of a novel vertical slot fishway. Front. Struct. Civ. Eng., 2020, 14(6): 1418-1444.

链接本文:

https://academic.hep.com.cn/fsce/CN/10.1007/s11709-020-0664-x
https://academic.hep.com.cn/fsce/CN/Y2020/V14/I6/1418

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mechanical and thermal property	symbol	unit	value
density	$ρ$	kg/m³	1000
temperature	T	°C	20
dynamic viscosity	μ	N·s/m²	0.001
kinematic viscosity	ν	m²/s	1 × 10⁻⁶

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