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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2021-11-01
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| Series: | Journal of Hydroinformatics |
| Subjects: | |
| Online Access: | http://jh.iwaponline.com/content/23/6/1247 |
| _version_ | 1830273675377508352 |
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| author | Mohd Afiq Harun Aminuddin Ab. Ghani Reza Mohammadpour Ngai Weng Chan |
| author_facet | Mohd Afiq Harun Aminuddin Ab. Ghani Reza Mohammadpour Ngai Weng Chan |
| author_sort | Mohd Afiq Harun |
| collection | DOAJ |
| description | 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. HIGHLIGHTS
Review of the performance of the existing stable channel geometry equations.;
Introduction of the sediment transport parameters in the development of the stable channel geometry equations.;
Application of multiple linear regression and gene expression programming methods.;
New parameter B/y is introduced to predict the width and depth of a stable channel.;
Newly developed equations outperformed the existing conventional equation.; |
| first_indexed | 2024-12-18T23:49:21Z |
| format | Article |
| id | doaj.art-ead858c6cd6c42e09141d51ae723bd56 |
| institution | Directory Open Access Journal |
| issn | 1464-7141 1465-1734 |
| language | English |
| last_indexed | 2024-12-18T23:49:21Z |
| publishDate | 2021-11-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Journal of Hydroinformatics |
| spelling | doaj.art-ead858c6cd6c42e09141d51ae723bd562022-12-21T20:47:05ZengIWA PublishingJournal of Hydroinformatics1464-71411465-17342021-11-012361247127010.2166/hydro.2021.047047GEP- and MLR-based equations for stable channel analysisMohd Afiq Harun0Aminuddin Ab. Ghani1Reza Mohammadpour2Ngai Weng Chan3 River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Penang, Malaysia River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Penang, Malaysia Department of Civil Engineering, Estahban Branch, Islamic Azad University, Estaban, Iran School of Humanities, Universiti Sains Malaysia, 11800 Penang, Malaysia 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. HIGHLIGHTS Review of the performance of the existing stable channel geometry equations.; Introduction of the sediment transport parameters in the development of the stable channel geometry equations.; Application of multiple linear regression and gene expression programming methods.; New parameter B/y is introduced to predict the width and depth of a stable channel.; Newly developed equations outperformed the existing conventional equation.;http://jh.iwaponline.com/content/23/6/1247gepmlrstable channel |
| spellingShingle | Mohd Afiq Harun Aminuddin Ab. Ghani Reza Mohammadpour Ngai Weng Chan GEP- and MLR-based equations for stable channel analysis Journal of Hydroinformatics gep mlr stable channel |
| title | GEP- and MLR-based equations for stable channel analysis |
| title_full | GEP- and MLR-based equations for stable channel analysis |
| title_fullStr | GEP- and MLR-based equations for stable channel analysis |
| title_full_unstemmed | GEP- and MLR-based equations for stable channel analysis |
| title_short | GEP- and MLR-based equations for stable channel analysis |
| title_sort | gep and mlr based equations for stable channel analysis |
| topic | gep mlr stable channel |
| url | http://jh.iwaponline.com/content/23/6/1247 |
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