2021
DOI: 10.26848/rbgf.v14.2.p694-710
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Avaliação da qualidade das águas superficiais na circunscrição hidrográfica do rio Piranga utilizando análise estatística multivariada e não-paramétrica

Abstract: No estado de Minas Gerais, as campanhas de coleta e análise da qualidade da água nos corpos hídricos contemplam até 51 variáveis, o que dificulta a análise e interpretação desse conjunto de dados e a identificação das variáveis determinantes para a qualidade da água. Diante disso, o objetivo deste trabalho foi identificar as principais fontes de poluição, bem como o comportamento da qualidade da água ao longo do tempo de monitoramento, por meio de diferentes análises estatísticas na circunscrição hidrográfica … Show more

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Cited by 5 publications
(3 citation statements)
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References 38 publications
(42 reference statements)
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“…Higher mean CHCl 3 concentrations were found at all sampling points, including the exit of the WTP and within the distribution system of the schools, followed, in descending order, by CHCl 2 Br, CHBr 2 Cl, and CHBr 3 . This is in agreement with results described elsewhere for treated waters from other WTPs [22,38,39]. The lowest and highest concentrations of total THMs were 0.017 and 0.041 mg L −1 , respectively, at the distribution system points as well as in the pipes of the school buildings.…”
Section: Distribution Of Trihalomethanessupporting
confidence: 92%
“…Higher mean CHCl 3 concentrations were found at all sampling points, including the exit of the WTP and within the distribution system of the schools, followed, in descending order, by CHCl 2 Br, CHBr 2 Cl, and CHBr 3 . This is in agreement with results described elsewhere for treated waters from other WTPs [22,38,39]. The lowest and highest concentrations of total THMs were 0.017 and 0.041 mg L −1 , respectively, at the distribution system points as well as in the pipes of the school buildings.…”
Section: Distribution Of Trihalomethanessupporting
confidence: 92%
“…The statistical methods which may be applied for analysis and monitoring of water quality are very diverse and cover different types of approaches, as reported by the authors ), Fraga et al (2021), Valentini et al (2021b), Varol (2020, , Santos et al (2021), Silveira et al (2021), among others. Correlation methods, for instance, provides a good idea of how the parameters used for assessment of water quality are correlated with each other or to assess how other factors can influence in chemical, physical, and microbiological variables used to assess water quality.…”
Section: Introductionmentioning
confidence: 99%
“…Essas atividades, juntamente com a construção de reservatórios, degradam o meio ambiente e causam efeitos adversos à biota aquática, podendo afetar a qualidade das vidas existentes. Devido às degradações sofridas pelos corpos hídricos nos últimos anos, aumentou-se a necessidade do monitoramento da qualidade das águas, possibilitando avaliar seu comportamento espacial e temporal (Tassara e Rutkowski, 2008; Tundisi e Matsumura-Tundisi, 2008;Fraga et al, 2021). Um dos meios utilizado para o monitoramento dos corpos hídricos é o sensoriamento remoto, que possibilita observar as bacias hidrográficas e os sistemas aquáticos e identificar áreas de poluição e entrada de nutrientes em reservatórios que pode levar ao surgimento de algas prejudiciais (Jensen, 2009;Lopes et al, 2016;Barbosa, Novo e Martins, 2019;Pahlevan et al, 2021).…”
Section: Introductionunclassified