Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/11278
metadata.artigo.dc.title: Chemical waste management in academy: multivariate analysis as planning tool
metadata.artigo.dc.creator: Oliveira Júnior, Francisco de Assis
Saczk, Adelir Aparecida
Magriotis, Zuy Maria
Freitas, Matheus Puggina
Lima, Rafael Machado Felix de
Pereira, Robson Augusto
Jesus, Elaísa Teixeira
Tadeu, Hugo César
metadata.artigo.dc.subject: Chemical waste management
Academic residues
Multivariate analysis
Principal component analysis
metadata.artigo.dc.date.issued: 17-Jun-2016
metadata.artigo.dc.identifier.citation: OLIVEIRA JÚNIOR, F. de A. et al. Chemical waste management in academy: multivariate analysis as planning tool. Journal of Advances in Chemistry, [S.l.], v. 10, n. 9, 2014.
metadata.artigo.dc.description.abstract: The waste management in a university requires actions like collection, classification, segregation and treatment or final disposal for waste generated by teaching, researching and extension activities. The Chemical Waste Management Program (CWMP) of Federal University of Lavras recorded its activities during 2010 and 2011, identifying the types of collected waste according to the origin, volume and treatment, throughout the months of each year. All these data were interpreted using multivariate analysis as tool, on mode Principal Component Analysis (PCA), aiming to define strategies for the Laboratory of Chemical Waste Management (LCWM) operation logistic, responsible for the CWMP. The logistics of waste collection and treatment was defined based on departments and types of waste received, identifying the place and type of waste collected each month. Thereby, it was possible to define an operation strategy for CWMP, optimizing the chemical waste management in the academic environment.
metadata.artigo.dc.identifier.uri: http://cirworld.com/index.php/jac/article/view/4400
http://repositorio.ufla.br/jspui/handle/1/11278
metadata.artigo.dc.language: en_US
Appears in Collections:DQI - Artigos publicados em periódicos

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