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Spatio-temporal variations of water quality in Nova Ponte Reservoir, Araguari River Basin, Brazil

2017; IWA Publishing; Volume: 17; Issue: 6 Linguagem: Inglês

10.2166/ws.2017.055

1607-0798

Cristiano Christófaro, Mônica Maria Diniz Leão, Sílvia Corrêa Oliveira, Déborah T. Viana, Camila C. Amorim, Marcela David de Carvalho,

Water Quality Monitoring Technologies

Research Article| April 04 2017 Spatio-temporal variations of water quality in Nova Ponte Reservoir, Araguari River Basin, Brazil Cristiano Christofaro; Cristiano Christofaro 1Department of Forestry Engineering, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Rodovia MG 367 n. 5000, 39100-000 Diamantina, MG, Brazil E-mail: cristiano.christofaro@ufvjm.edu.br Search for other works by this author on: This Site PubMed Google Scholar Mônica M. Diniz Leão; Mônica M. Diniz Leão 2Department of Environmental and Sanitary Engineering, Universidade Federal de Minas Gerais, Antônio Carlos Avenue, 6627, 31270-901 Belo Horizonte, MG, Brazil Search for other works by this author on: This Site PubMed Google Scholar Sílvia M. A. C. Oliveira; Sílvia M. A. C. Oliveira 2Department of Environmental and Sanitary Engineering, Universidade Federal de Minas Gerais, Antônio Carlos Avenue, 6627, 31270-901 Belo Horizonte, MG, Brazil Search for other works by this author on: This Site PubMed Google Scholar Déborah T. Viana; Déborah T. Viana 2Department of Environmental and Sanitary Engineering, Universidade Federal de Minas Gerais, Antônio Carlos Avenue, 6627, 31270-901 Belo Horizonte, MG, Brazil Search for other works by this author on: This Site PubMed Google Scholar Camila C. Amorim; Camila C. Amorim 2Department of Environmental and Sanitary Engineering, Universidade Federal de Minas Gerais, Antônio Carlos Avenue, 6627, 31270-901 Belo Horizonte, MG, Brazil Search for other works by this author on: This Site PubMed Google Scholar Marcela D. Carvalho Marcela D. Carvalho 3Cemig Geração e Transmissão, Av. Barbacena, 1200, 30190-131 Belo Horizonte, MG, Brazil Search for other works by this author on: This Site PubMed Google Scholar Water Supply (2017) 17 (6): 1507–1514. https://doi.org/10.2166/ws.2017.055 Article history Received: October 25 2016 Accepted: March 21 2017 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation Cristiano Christofaro, Mônica M. Diniz Leão, Sílvia M. A. C. Oliveira, Déborah T. Viana, Camila C. Amorim, Marcela D. Carvalho; Spatio-temporal variations of water quality in Nova Ponte Reservoir, Araguari River Basin, Brazil. Water Supply 1 December 2017; 17 (6): 1507–1514. doi: https://doi.org/10.2166/ws.2017.055 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Abstract Multivariate techniques, like cluster analysis (CA) and principal component analysis (PCA), were used to evaluate the spatial and temporal variability of surface water quality in a large neotropical hydroelectric reservoir (Nova Ponte Reservoir). The dataset, obtained during the period of 1995–2011 from the Energy Company of Minas Gerais State (CEMIG), contains 14 parameters surveyed quarterly in 14 sites, at different depths. The CA grouped the 14 sites in three main groups: lotic sites, half of the photic zone sites and bottom sites. Statistical tests showed that only three parameters (total dissolved solids, nitrate and chemical oxygen demand) have no significant difference between cluster groups. The PCA results showed temporal changes of the water quality in all groups, illustrating modifications to the importance of the parameters over time. PCA also revealed the major causes of water deterioration from 1995 to 2005 were related to agricultural and livestock activities. Currently, the water quality parameters related to organic pollution are also highlighted. Generally, this study shows that possible optimization of the monitoring network should consider temporal variation of water quality parameters. environmental statistic, trend analysis, water monitoring, water quality © IWA Publishing 2017 You do not currently have access to this content.