Uncertainty assessment of kernel based approaches on scour depth modeling in downstream of ski-jump bucket spillways

From the hydraulic structures designer's point of view, the scour depth accurate estimation in downstream of spillways is so important. In this study, the scour depth was assessed downstream of ski-jump bucket spillways using two kernel based approaches namely Support Vector Machine (SVM) and K...

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Autores principales:	Redvan Ghasemlounia, Seyed Mahdi Saghebian
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	kelm scour depth ski-jump bucket uncertainty analysis 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/4d98527a21b34a67b987248d1c85db1d
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id	oai:doaj.org-article:4d98527a21b34a67b987248d1c85db1d
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spelling	oai:doaj.org-article:4d98527a21b34a67b987248d1c85db1d2021-11-06T07:19:13ZUncertainty assessment of kernel based approaches on scour depth modeling in downstream of ski-jump bucket spillways1606-97491607-079810.2166/ws.2021.063https://doaj.org/article/4d98527a21b34a67b987248d1c85db1d2021-08-01T00:00:00Zhttp://ws.iwaponline.com/content/21/5/2333https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798From the hydraulic structures designer's point of view, the scour depth accurate estimation in downstream of spillways is so important. In this study, the scour depth was assessed downstream of ski-jump bucket spillways using two kernel based approaches namely Support Vector Machine (SVM) and Kernel Extreme Learning Machine (KELM). In the model developing process, two states were tested and the impacts of dimensional and non-dimensional parameters on model efficiency were assessed. The best applied model dependability was investigated via Monte Carlo uncertainty analysis. In addition, the model accuracy was compared with some available semi-theoretical formulas. It was observed that the applied models were more successful than available formulas. The sensitivity analysis results showed that q (unit discharge of spillway) variable in the state 1 and q2/[gYt3] (g is gravity acceleration and Yt is tail water depth) variable in the state 2 were the most significant parameters in the modeling process. Comparison among applied methods and one other intelligence approach showed that KELM was more successful in predicting process. The obtained results from uncertainty analysis indicated that the KELM model had an allowable degree of uncertainty in the scour depth modeling. HIGHLIGHTS The capability of two kernel based models (i.e. SVM, KELM) was investigated for scour depth assessing downstream of ski-jump bucket spillways.; The capability of applied methods was compared with some available semi-empirical equations.; The most important parameters were determined using sensitivity analysis.; Monte Carlo uncertainty analysis was applied to investigate the dependability of the applied models.;Redvan GhasemlouniaSeyed Mahdi SaghebianIWA Publishingarticlekelmscour depthski-jump bucketuncertainty analysisWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 5, Pp 2333-2346 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	kelm scour depth ski-jump bucket uncertainty analysis Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	kelm scour depth ski-jump bucket uncertainty analysis Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Redvan Ghasemlounia Seyed Mahdi Saghebian Uncertainty assessment of kernel based approaches on scour depth modeling in downstream of ski-jump bucket spillways
description	From the hydraulic structures designer's point of view, the scour depth accurate estimation in downstream of spillways is so important. In this study, the scour depth was assessed downstream of ski-jump bucket spillways using two kernel based approaches namely Support Vector Machine (SVM) and Kernel Extreme Learning Machine (KELM). In the model developing process, two states were tested and the impacts of dimensional and non-dimensional parameters on model efficiency were assessed. The best applied model dependability was investigated via Monte Carlo uncertainty analysis. In addition, the model accuracy was compared with some available semi-theoretical formulas. It was observed that the applied models were more successful than available formulas. The sensitivity analysis results showed that q (unit discharge of spillway) variable in the state 1 and q2/[gYt3] (g is gravity acceleration and Yt is tail water depth) variable in the state 2 were the most significant parameters in the modeling process. Comparison among applied methods and one other intelligence approach showed that KELM was more successful in predicting process. The obtained results from uncertainty analysis indicated that the KELM model had an allowable degree of uncertainty in the scour depth modeling. HIGHLIGHTS The capability of two kernel based models (i.e. SVM, KELM) was investigated for scour depth assessing downstream of ski-jump bucket spillways.; The capability of applied methods was compared with some available semi-empirical equations.; The most important parameters were determined using sensitivity analysis.; Monte Carlo uncertainty analysis was applied to investigate the dependability of the applied models.;
format	article
author	Redvan Ghasemlounia Seyed Mahdi Saghebian
author_facet	Redvan Ghasemlounia Seyed Mahdi Saghebian
author_sort	Redvan Ghasemlounia
title	Uncertainty assessment of kernel based approaches on scour depth modeling in downstream of ski-jump bucket spillways
title_short	Uncertainty assessment of kernel based approaches on scour depth modeling in downstream of ski-jump bucket spillways
title_full	Uncertainty assessment of kernel based approaches on scour depth modeling in downstream of ski-jump bucket spillways
title_fullStr	Uncertainty assessment of kernel based approaches on scour depth modeling in downstream of ski-jump bucket spillways
title_full_unstemmed	Uncertainty assessment of kernel based approaches on scour depth modeling in downstream of ski-jump bucket spillways
title_sort	uncertainty assessment of kernel based approaches on scour depth modeling in downstream of ski-jump bucket spillways
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/4d98527a21b34a67b987248d1c85db1d
work_keys_str_mv	AT redvanghasemlounia uncertaintyassessmentofkernelbasedapproachesonscourdepthmodelingindownstreamofskijumpbucketspillways AT seyedmahdisaghebian uncertaintyassessmentofkernelbasedapproachesonscourdepthmodelingindownstreamofskijumpbucketspillways
_version_	1718443792744316928

Uncertainty assessment of kernel based approaches on scour depth modeling in downstream of ski-jump bucket spillways

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