Estimation of parameters in groundwater modelling by modified Clonalg

The purpose of this study was to improve the optimization model for predicting more parameters in more difficult conditions (more grid cell numbers and high time interval numbers) than other studies in groundwater flow modelling. Also, the model needs fewer observation numbers for estimating paramet...

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Autor principal:	Miraç Eryiğit
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	groundwater modelling heuristic optimization model calibration parameter estimation Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/168f3830071a4a11b92824b6022d45ab
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id	oai:doaj.org-article:168f3830071a4a11b92824b6022d45ab
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spelling	oai:doaj.org-article:168f3830071a4a11b92824b6022d45ab2021-11-05T17:42:57ZEstimation of parameters in groundwater modelling by modified Clonalg1464-71411465-173410.2166/hydro.2021.139https://doaj.org/article/168f3830071a4a11b92824b6022d45ab2021-03-01T00:00:00Zhttp://jh.iwaponline.com/content/23/2/298https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734The purpose of this study was to improve the optimization model for predicting more parameters in more difficult conditions (more grid cell numbers and high time interval numbers) than other studies in groundwater flow modelling. Also, the model needs fewer observation numbers for estimating parameters than other studies. In the present study, an optimization model based on model calibration was developed to estimate simultaneously four groundwater flow parameters – hydraulic conductivity, transmissivity, storage coefficient and leakance. The modified clonal selection algorithm, a class of artificial immune systems, was used as a heuristic optimization method. In order to simulate the groundwater flow, MODFLOW was used in conjunction with the model in MATLAB. The input files for MODFLOW were obtained by GMS groundwater simulator. The model was applied to two different hypothetical groundwater systems (two- and three-dimensional) under transient conditions to evaluate its performance. The results showed that the model was feasible for groundwater flow modelling and it could determine the groundwater flow parameters successfully with less observations and more grid cell numbers than the other studies. HIGHLIGHTS The optimization model was improved for determining groundwater model parameters.; The model can estimate more parameters in more difficult conditions (more grid cell numbers and high time interval numbers) than other studies.; The model needs to less observation numbers for estimating parameters than other studies.;Miraç EryiğitIWA Publishingarticlegroundwater modellingheuristic optimizationmodel calibrationparameter estimationInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 2, Pp 298-306 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	groundwater modelling heuristic optimization model calibration parameter estimation Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	groundwater modelling heuristic optimization model calibration parameter estimation Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Miraç Eryiğit Estimation of parameters in groundwater modelling by modified Clonalg
description	The purpose of this study was to improve the optimization model for predicting more parameters in more difficult conditions (more grid cell numbers and high time interval numbers) than other studies in groundwater flow modelling. Also, the model needs fewer observation numbers for estimating parameters than other studies. In the present study, an optimization model based on model calibration was developed to estimate simultaneously four groundwater flow parameters – hydraulic conductivity, transmissivity, storage coefficient and leakance. The modified clonal selection algorithm, a class of artificial immune systems, was used as a heuristic optimization method. In order to simulate the groundwater flow, MODFLOW was used in conjunction with the model in MATLAB. The input files for MODFLOW were obtained by GMS groundwater simulator. The model was applied to two different hypothetical groundwater systems (two- and three-dimensional) under transient conditions to evaluate its performance. The results showed that the model was feasible for groundwater flow modelling and it could determine the groundwater flow parameters successfully with less observations and more grid cell numbers than the other studies. HIGHLIGHTS The optimization model was improved for determining groundwater model parameters.; The model can estimate more parameters in more difficult conditions (more grid cell numbers and high time interval numbers) than other studies.; The model needs to less observation numbers for estimating parameters than other studies.;
format	article
author	Miraç Eryiğit
author_facet	Miraç Eryiğit
author_sort	Miraç Eryiğit
title	Estimation of parameters in groundwater modelling by modified Clonalg
title_short	Estimation of parameters in groundwater modelling by modified Clonalg
title_full	Estimation of parameters in groundwater modelling by modified Clonalg
title_fullStr	Estimation of parameters in groundwater modelling by modified Clonalg
title_full_unstemmed	Estimation of parameters in groundwater modelling by modified Clonalg
title_sort	estimation of parameters in groundwater modelling by modified clonalg
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/168f3830071a4a11b92824b6022d45ab
work_keys_str_mv	AT miraceryigit estimationofparametersingroundwatermodellingbymodifiedclonalg
_version_	1718444084935262208

Estimation of parameters in groundwater modelling by modified Clonalg

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