An ISaDE algorithm combined with support vector regression for estimating discharge coefficient of W-planform weirs

Various shapes of weirs, such as rectangular, trapezoidal, circular, and triangular plan forms, are used to adjust and measure the flow rate in irrigation networks. The discharge coefficient (Cd) of weirs, as the key hydraulic parameter, involves the combined effects of the geometric and hydraulic p...

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Autores principales:	Somayeh Emami, Javad Parsa, Hojjat Emami, Akram Abbaspour
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	discharge coefficient improved sade algorithm labyrinth weirs support vector regression Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/a52f54c49fd94f0c9706e68817d628e5
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spelling	oai:doaj.org-article:a52f54c49fd94f0c9706e68817d628e52021-11-23T18:55:53ZAn ISaDE algorithm combined with support vector regression for estimating discharge coefficient of W-planform weirs1606-97491607-079810.2166/ws.2021.112https://doaj.org/article/a52f54c49fd94f0c9706e68817d628e52021-11-01T00:00:00Zhttp://ws.iwaponline.com/content/21/7/3459https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798Various shapes of weirs, such as rectangular, trapezoidal, circular, and triangular plan forms, are used to adjust and measure the flow rate in irrigation networks. The discharge coefficient (Cd) of weirs, as the key hydraulic parameter, involves the combined effects of the geometric and hydraulic parameters. It is used to compute the flow rate over the weirs. For this purpose, a hybrid ISaDE-SVR method is proposed as a hybrid model to estimate the Cd of sharp-crested W-planform weirs. ISaDE is a high-performance algorithm among other optimization algorithms in estimating the nonlinear parameters in different phenomena. The ISaDE algorithm is used to improve the performance of SVR by finding optimal values for the SVR's parameters. To test and validate the proposed model, the experimental datasets of Kumar et al. and Ghodsian were utilized. Six different input scenarios are presented to estimate the Cd. Based on the modeling results, the proposed hybrid method estimates the Cd in terms of H/P, Lw/Wmc, and Lc/Wc. For the superior method, R2, RMSE, MAPE, and δ are obtained as 0.982, 0.006, 0.612, and 0.843, respectively. The amount of improvement in comparison with GMDH, ANFIS and SVR is 3.6%, 1.2% and 1.5% in terms of R2. HIGHLIGHTS A novel hybrid ISaDE method was used to predict the Cd of W-planform weirs.; More discharge over W-planform is their major advantage against other types of weirs.; ISaDE algorithm is used to improve the capability of SVR by finding optimal values for the SVR's parameters.; The model which includes parameters (H/P, Lw/Wmc, Lc/Wc), has the best results.; The H/P parameter was the most important input parameter.;Somayeh EmamiJavad ParsaHojjat EmamiAkram AbbaspourIWA Publishingarticledischarge coefficientimproved sade algorithmlabyrinth weirssupport vector regressionWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 7, Pp 3459-3476 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	discharge coefficient improved sade algorithm labyrinth weirs support vector regression Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	discharge coefficient improved sade algorithm labyrinth weirs support vector regression Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Somayeh Emami Javad Parsa Hojjat Emami Akram Abbaspour An ISaDE algorithm combined with support vector regression for estimating discharge coefficient of W-planform weirs
description	Various shapes of weirs, such as rectangular, trapezoidal, circular, and triangular plan forms, are used to adjust and measure the flow rate in irrigation networks. The discharge coefficient (Cd) of weirs, as the key hydraulic parameter, involves the combined effects of the geometric and hydraulic parameters. It is used to compute the flow rate over the weirs. For this purpose, a hybrid ISaDE-SVR method is proposed as a hybrid model to estimate the Cd of sharp-crested W-planform weirs. ISaDE is a high-performance algorithm among other optimization algorithms in estimating the nonlinear parameters in different phenomena. The ISaDE algorithm is used to improve the performance of SVR by finding optimal values for the SVR's parameters. To test and validate the proposed model, the experimental datasets of Kumar et al. and Ghodsian were utilized. Six different input scenarios are presented to estimate the Cd. Based on the modeling results, the proposed hybrid method estimates the Cd in terms of H/P, Lw/Wmc, and Lc/Wc. For the superior method, R2, RMSE, MAPE, and δ are obtained as 0.982, 0.006, 0.612, and 0.843, respectively. The amount of improvement in comparison with GMDH, ANFIS and SVR is 3.6%, 1.2% and 1.5% in terms of R2. HIGHLIGHTS A novel hybrid ISaDE method was used to predict the Cd of W-planform weirs.; More discharge over W-planform is their major advantage against other types of weirs.; ISaDE algorithm is used to improve the capability of SVR by finding optimal values for the SVR's parameters.; The model which includes parameters (H/P, Lw/Wmc, Lc/Wc), has the best results.; The H/P parameter was the most important input parameter.;
format	article
author	Somayeh Emami Javad Parsa Hojjat Emami Akram Abbaspour
author_facet	Somayeh Emami Javad Parsa Hojjat Emami Akram Abbaspour
author_sort	Somayeh Emami
title	An ISaDE algorithm combined with support vector regression for estimating discharge coefficient of W-planform weirs
title_short	An ISaDE algorithm combined with support vector regression for estimating discharge coefficient of W-planform weirs
title_full	An ISaDE algorithm combined with support vector regression for estimating discharge coefficient of W-planform weirs
title_fullStr	An ISaDE algorithm combined with support vector regression for estimating discharge coefficient of W-planform weirs
title_full_unstemmed	An ISaDE algorithm combined with support vector regression for estimating discharge coefficient of W-planform weirs
title_sort	isade algorithm combined with support vector regression for estimating discharge coefficient of w-planform weirs
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/a52f54c49fd94f0c9706e68817d628e5
work_keys_str_mv	AT somayehemami anisadealgorithmcombinedwithsupportvectorregressionforestimatingdischargecoefficientofwplanformweirs AT javadparsa anisadealgorithmcombinedwithsupportvectorregressionforestimatingdischargecoefficientofwplanformweirs AT hojjatemami anisadealgorithmcombinedwithsupportvectorregressionforestimatingdischargecoefficientofwplanformweirs AT akramabbaspour anisadealgorithmcombinedwithsupportvectorregressionforestimatingdischargecoefficientofwplanformweirs AT somayehemami isadealgorithmcombinedwithsupportvectorregressionforestimatingdischargecoefficientofwplanformweirs AT javadparsa isadealgorithmcombinedwithsupportvectorregressionforestimatingdischargecoefficientofwplanformweirs AT hojjatemami isadealgorithmcombinedwithsupportvectorregressionforestimatingdischargecoefficientofwplanformweirs AT akramabbaspour isadealgorithmcombinedwithsupportvectorregressionforestimatingdischargecoefficientofwplanformweirs
_version_	1718416171276959744

An ISaDE algorithm combined with support vector regression for estimating discharge coefficient of W-planform weirs

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