Selecting Monitoring Variables in the Manual Composting of Municipal Solid Waste Based on Principal Component Analysis

This paper proposes the use of principal component analysis performed on the correlation matrix for identifying the best variables for monitoring the composting of municipal solid wastes. Accordingly, 12 physicochemical and two microbiological parameters have been measured throughout the 7 weeks in...

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Fecha de publicación:: 2018

Institución:: Universidad de Medellín

Repositorio:: Repositorio UDEM

Idioma:: eng

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spelling	2018-04-13T16:31:29Z2018-04-13T16:31:29Z201818772641http://hdl.handle.net/11407/452810.1007/s12649-018-0208-yThis paper proposes the use of principal component analysis performed on the correlation matrix for identifying the best variables for monitoring the composting of municipal solid wastes. Accordingly, 12 physicochemical and two microbiological parameters have been measured throughout the 7 weeks in which the compositing of 1300 kg of organic wastes obtained from MSW was carried out. All the analyses confirm a correct development of the composting process, and the final values fulfil the requirements of the Colombian legislation. The statistical analysis shows that four variables are sufficient for ensuring a suitable process development and, based on economic criteria and technical simplicity, the selected ones are as follows: respirometry, water retention capacity, ash content and moisture content. © 2018 Springer Science+Business Media B.V., part of Springer NatureengSpringer NetherlandsFacultad de Ingenieríashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85040940775&doi=10.1007%2fs12649-018-0208-y&partnerID=40&md5=d4beceae37ea6a428102f6dbfddfd02eWaste and Biomass ValorizationScopusSelecting Monitoring Variables in the Manual Composting of Municipal Solid Waste Based on Principal Component AnalysisArticle in Pressinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Deparment of Civil and Environmental Engineering, Universidad de los Andes, Carrera 1 Este No 19A – 40, Bogotá, Colombia; Program of Environmental Engineering, Faculty of Engineering, University of Medellín, Carrera 87 No 30 – 65, Medellín, Colombia; Department of Chemical Engineering, University of the Basque Country, PO Box 644, Bilbao, SpainSaldarriaga J.F., Gallego J.L., López J.E., Aguado R., Olazar M.Saldarriaga, J.F., Deparment of Civil and Environmental Engineering, Universidad de los Andes, Carrera 1 Este No 19A – 40, Bogotá, Colombia; Gallego, J.L., Program of Environmental Engineering, Faculty of Engineering, University of Medellín, Carrera 87 No 30 – 65, Medellín, Colombia; López, J.E., Program of Environmental Engineering, Faculty of Engineering, University of Medellín, Carrera 87 No 30 – 65, Medellín, Colombia; Aguado, R., Department of Chemical Engineering, University of the Basque Country, PO Box 644, Bilbao, Spain; Olazar, M., Department of Chemical Engineering, University of the Basque Country, PO Box 644, Bilbao, SpainComposting; Correlation matrix; Municipal solid waste (MSW); Physicochemical parameters; Principal component analysis (PCA)Composting; Municipal solid waste; Solid wastes; Waste treatment; Composting process; Correlation matrix; Economic criteria; Micro-biological parameters; Municipal solid waste (MSW); Physicochemical parameters; Process development; Water retention capacity; Principal component analysisThis paper proposes the use of principal component analysis performed on the correlation matrix for identifying the best variables for monitoring the composting of municipal solid wastes. Accordingly, 12 physicochemical and two microbiological parameters have been measured throughout the 7 weeks in which the compositing of 1300 kg of organic wastes obtained from MSW was carried out. All the analyses confirm a correct development of the composting process, and the final values fulfil the requirements of the Colombian legislation. The statistical analysis shows that four variables are sufficient for ensuring a suitable process development and, based on economic criteria and technical simplicity, the selected ones are as follows: respirometry, water retention capacity, ash content and moisture content. © 2018 Springer Science+Business Media B.V., part of Springer Naturehttp://purl.org/coar/access_right/c_16ec11407/4528oai:repository.udem.edu.co:11407/45282020-05-27 16:26:59.331Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co
dc.title.spa.fl_str_mv	Selecting Monitoring Variables in the Manual Composting of Municipal Solid Waste Based on Principal Component Analysis
title	Selecting Monitoring Variables in the Manual Composting of Municipal Solid Waste Based on Principal Component Analysis
spellingShingle	Selecting Monitoring Variables in the Manual Composting of Municipal Solid Waste Based on Principal Component Analysis Composting; Correlation matrix; Municipal solid waste (MSW); Physicochemical parameters; Principal component analysis (PCA) Composting; Municipal solid waste; Solid wastes; Waste treatment; Composting process; Correlation matrix; Economic criteria; Micro-biological parameters; Municipal solid waste (MSW); Physicochemical parameters; Process development; Water retention capacity; Principal component analysis
title_short	Selecting Monitoring Variables in the Manual Composting of Municipal Solid Waste Based on Principal Component Analysis
title_full	Selecting Monitoring Variables in the Manual Composting of Municipal Solid Waste Based on Principal Component Analysis
title_fullStr	Selecting Monitoring Variables in the Manual Composting of Municipal Solid Waste Based on Principal Component Analysis
title_full_unstemmed	Selecting Monitoring Variables in the Manual Composting of Municipal Solid Waste Based on Principal Component Analysis
title_sort	Selecting Monitoring Variables in the Manual Composting of Municipal Solid Waste Based on Principal Component Analysis
dc.contributor.affiliation.spa.fl_str_mv	Deparment of Civil and Environmental Engineering, Universidad de los Andes, Carrera 1 Este No 19A – 40, Bogotá, Colombia; Program of Environmental Engineering, Faculty of Engineering, University of Medellín, Carrera 87 No 30 – 65, Medellín, Colombia; Department of Chemical Engineering, University of the Basque Country, PO Box 644, Bilbao, Spain
dc.subject.keyword.eng.fl_str_mv	Composting; Correlation matrix; Municipal solid waste (MSW); Physicochemical parameters; Principal component analysis (PCA) Composting; Municipal solid waste; Solid wastes; Waste treatment; Composting process; Correlation matrix; Economic criteria; Micro-biological parameters; Municipal solid waste (MSW); Physicochemical parameters; Process development; Water retention capacity; Principal component analysis
topic	Composting; Correlation matrix; Municipal solid waste (MSW); Physicochemical parameters; Principal component analysis (PCA) Composting; Municipal solid waste; Solid wastes; Waste treatment; Composting process; Correlation matrix; Economic criteria; Micro-biological parameters; Municipal solid waste (MSW); Physicochemical parameters; Process development; Water retention capacity; Principal component analysis
description	This paper proposes the use of principal component analysis performed on the correlation matrix for identifying the best variables for monitoring the composting of municipal solid wastes. Accordingly, 12 physicochemical and two microbiological parameters have been measured throughout the 7 weeks in which the compositing of 1300 kg of organic wastes obtained from MSW was carried out. All the analyses confirm a correct development of the composting process, and the final values fulfil the requirements of the Colombian legislation. The statistical analysis shows that four variables are sufficient for ensuring a suitable process development and, based on economic criteria and technical simplicity, the selected ones are as follows: respirometry, water retention capacity, ash content and moisture content. © 2018 Springer Science+Business Media B.V., part of Springer Nature
publishDate	2018
dc.date.accessioned.none.fl_str_mv	2018-04-13T16:31:29Z
dc.date.available.none.fl_str_mv	2018-04-13T16:31:29Z
dc.date.created.none.fl_str_mv	2018
dc.type.eng.fl_str_mv	Article in Press
dc.type.coarversion.fl_str_mv	http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.none.fl_str_mv	info:eu-repo/semantics/article
dc.identifier.issn.none.fl_str_mv	18772641
dc.identifier.uri.none.fl_str_mv	http://hdl.handle.net/11407/4528
dc.identifier.doi.none.fl_str_mv	10.1007/s12649-018-0208-y
identifier_str_mv	18772641 10.1007/s12649-018-0208-y
url	http://hdl.handle.net/11407/4528
dc.language.iso.none.fl_str_mv	eng
language	eng
dc.relation.isversionof.spa.fl_str_mv	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040940775&doi=10.1007%2fs12649-018-0208-y&partnerID=40&md5=d4beceae37ea6a428102f6dbfddfd02e
dc.relation.ispartofes.spa.fl_str_mv	Waste and Biomass Valorization
dc.rights.coar.fl_str_mv	http://purl.org/coar/access_right/c_16ec
rights_invalid_str_mv	http://purl.org/coar/access_right/c_16ec
dc.publisher.spa.fl_str_mv	Springer Netherlands
dc.publisher.faculty.spa.fl_str_mv	Facultad de Ingenierías
dc.source.spa.fl_str_mv	Scopus
institution	Universidad de Medellín
repository.name.fl_str_mv	Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv	repositorio@udem.edu.co
_version_	1814159139771777024

Selecting Monitoring Variables in the Manual Composting of Municipal Solid Waste Based on Principal Component Analysis

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