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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Autores:

Tipo de recurso:

Fecha de publicación:

2018

Institución:

Universidad de Medellín

Repositorio:

Repositorio UDEM

Idioma:

eng

OAI Identifier:

oai:repository.udem.edu.co:11407/4528

Acceso en línea:

http://hdl.handle.net/11407/4528

Palabra clave:

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

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