Perfil geográfico multivariado da água consumida no município de Botucatu

• Autor(a) principal: Campos, Lívia Paschoalino de [UNESP]
• Data de Publicação: 2014
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://hdl.handle.net/11449/110367
• topic: Água - Qualidade; Analise multivariada; Físico-química; Bacteriologia; Water quality

The following research involved some physical-chemical and bacteriological parameters that play a important role in the study of water quality by collecting daily samples from different neighborhoods in Botucatu city – SP, from the period of 2007 to 2011. The multivariate data analysis, specifically the Cluster Analysis and Principal Components Analysis was used to describe the profile of water quality of the city neighborhoods. To accomplish Cluster Analysis we used the Euclidean distance to find the similarity between the response profiles, which is the most used metric when data are quantitative, and the hierarchical method of Ward as clustering method, which produces heterogeneous clusters. Principal Components Analysis was used for achieving the reduction of the parametric space and afterward using the descriptors axes of the new data system for arranging water quality per neighborhoods, verifying the association between two used procedures. The results of cluster analysis defined the geographic profile of the water quality constituted of five groups of similarity, respectively, by 13,2, 7, 39 and 15 neighborhoods. The neighborhoods in each group were distributed according to the 4 positions of the city and the average profile of the responses of all groups were very similar to the standards of water quality established by the Brazilian Law no518, of March, 2004. The Analysis of Principal Components selected the first three components that were used to obtain the Euclidean distances of neighborhoods responses in relation to the origin of the new system. Thus, it was possible to perform the arrangement of the points (neighborhoods) according to the values of physico-chemical and bacteriological parameters