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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Autores principales:	Mohd Afiq Harun, Aminuddin Ab. Ghani, Reza Mohammadpour, Ngai Weng Chan
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	gep mlr stable channel Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/ead858c6cd6c42e09141d51ae723bd56
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id	oai:doaj.org-article:ead858c6cd6c42e09141d51ae723bd56
record_format	dspace
spelling	oai:doaj.org-article:ead858c6cd6c42e09141d51ae723bd562021-11-23T18:48:40ZGEP- and MLR-based equations for stable channel analysis1464-71411465-173410.2166/hydro.2021.047https://doaj.org/article/ead858c6cd6c42e09141d51ae723bd562021-11-01T00:00:00Zhttp://jh.iwaponline.com/content/23/6/1247https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734For 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.;Mohd Afiq HarunAminuddin Ab. GhaniReza MohammadpourNgai Weng ChanIWA Publishingarticlegepmlrstable channelInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 6, Pp 1247-1270 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gep mlr stable channel Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	gep mlr stable channel Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Mohd Afiq Harun Aminuddin Ab. Ghani Reza Mohammadpour Ngai Weng Chan GEP- and MLR-based equations for stable channel analysis
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.;
format	article
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
title	GEP- and MLR-based equations for stable channel analysis
title_short	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_sort	gep- and mlr-based equations for stable channel analysis
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/ead858c6cd6c42e09141d51ae723bd56
work_keys_str_mv	AT mohdafiqharun gepandmlrbasedequationsforstablechannelanalysis AT aminuddinabghani gepandmlrbasedequationsforstablechannelanalysis AT rezamohammadpour gepandmlrbasedequationsforstablechannelanalysis AT ngaiwengchan gepandmlrbasedequationsforstablechannelanalysis
_version_	1718416187236286464

GEP- and MLR-based equations for stable channel analysis

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