| Autor: |
Pereira CAF; Instituto de Ciência, Engenharia e Tecnologia, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Rua do Cruzeiro, 01, 39803-371 Teófilo Otoni, MG, Brazil., Maia LFO; Instituto de Ciência, Engenharia e Tecnologia, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Rua do Cruzeiro, 01, 39803-371 Teófilo Otoni, MG, Brazil., Faria MCS; Instituto de Ciência, Engenharia e Tecnologia, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Rua do Cruzeiro, 01, 39803-371 Teófilo Otoni, MG, Brazil., Fidêncio PH; Faculdade de Ciências Exatas e Tecnológicas, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Avenida Diamantina, s/n, 39100-000 Diamantina, MG, Brazil., Bomfeti CA; Instituto de Ciência, Engenharia e Tecnologia, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Rua do Cruzeiro, 01, 39803-371 Teófilo Otoni, MG, Brazil., Barbosa Junior F; Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Avenida do Café, s/n, 14040-903 Ribeirão Preto, SP, Brazil., Rodrigues JL; Instituto de Ciência, Engenharia e Tecnologia, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Rua do Cruzeiro, 01, 39803-371 Teófilo Otoni, MG, Brazil. |
| Abstrakt: |
In aquatic habitats, metal contamination from natural and anthropogenic sources continues to pose a concern for human and environmental health. Thus, it is important to complete monitoring studies to assess patterns and the extent of metal contamination in these ecosystems. The purpose of this work was to determine the concentrations of 31 chemical elements and water quality parameters of the Todos os Santos River located in the Mucuri Valley, Minas Gerais, Brazil. A multivariate statistical analysis was used to determine any seasonal and spatial patterns from the data. Results demonstrated that metals including Al, Fe, and Ni exceeded Brazilian and international guidelines nutrients as P also exceed water quality standards. Principal components analysis indicated distinct geographical and seasonal patterns for multiple elements with hierarchical cluster analysis confirming the observed spatial patterns of contamination in the Todos os Santos River. |
