GEP- and MLR-based equations for stable channel analysis

For decades, research on stable channel hydraulic geometry was based on the following parameters: river discharge, dimensionless discharge, the median size of bed material and the slope. Although significant research has been conducted in this area, including applied machine learning to increase the...

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Bibliographic Details
Published in:Journal of hydroinformatics 2021-11, Vol.23 (6), p.1247-1270
Main Authors: Harun, Mohd Afiq, Ab. Ghani, Aminuddin, Mohammadpour, Reza, Chan, Ngai Weng
Format: Article
Language:English
Subjects:
Accuracy
Bed material
Chromosomes
Depth
Errors
Gene expression
Geometric accuracy
Geometry
Geomorphology
gep
Hydraulic geometry
Hydraulics
Learning algorithms
Machine learning
Methods
mlr
Model accuracy
Parameters
Predictions
Researchers
River discharge
River flow
Rivers
Sediment transport
Sedimentation & deposition
Soil erosion
stable channel
Stable channels
Statistical analysis
Variables
Water discharge
Width
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Summary:For decades, research on stable channel hydraulic geometry was based on the following parameters: river discharge, dimensionless discharge, the median size of bed material and the slope. Although significant research has been conducted in this area, including applied machine learning to increase the geometry model prediction accuracy, there has been no remarkable improvement as the variables used to describe the geometry relationship remain the same. The novelty of this study is demonstrated by the parameters used in the stable channel geometry equations that outperform the existing equation's accuracy. In this research, sediment transport parameters are introduced and analysed by applying the multiple linear regression (MLR) and gene expression programming (GEP) methods. The new equation of the width, depth and bed slope can give much-improved results in efficiency and lower errors. Furthermore, a new parameter B/y is introduced in this study to solve the restriction issue, either in width or depth prediction. The results from MLR and GEP show that in addition to the existing hydraulic geometry parameter, the B/y parameter is also able to give high accuracy results for width and depth predictions. Both calibration and validation for the B/y parameter yield high R2 and NSE values with low mean squared errors and mean absolute errors.
ISSN:1464-7141
1465-1734
DOI:10.2166/hydro.2021.047