Análise multivariada para seleção de parâmetros de monitoramento em manancial de Juiz de Fora, Minas Gerais

Rocha, Cézar Henrique Barra; Pereira, Amanda Maia

doi:10.4136/ambi-agua.1590

Cited by 12 publications

(7 citation statements)

References 23 publications

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“…Para a seleção das variáveis mais representativas em cada fator, Liu et al (2000) classificam os valores das cargas fatoriais como: relevante (>0,75), médio (>0,50 e <0,75) e irrelevante (<0,50). Para esse estudo, as variáveis selecionadas para a caracterização dos fatores foram aquelas que apresentaram carga fatorial ≥0,7, apresentando média restrição, conforme também utilizado em outros estudos (Bertossi et al 2013;Rocha and Pereira 2016 Para identificar as principais fontes de poluição, foi utilizado um percentual de violação da classe de enquadramento igual ou superior a 20%. Conforme consta no Plano Integrado de Recursos Hídricos da bacia hidrográfica do rio Doce (PIRH-Doce), as variáveis que estão acima desse percentual são indicativas de deterioração da qualidade da água, sendo essencial a manutenção delas no programa de monitoramento (ECOPLAN-LUME 2010b).…”

Section: Methodsunclassified

Avaliação da qualidade das águas superficiais na circunscrição hidrográfica do rio Piranga utilizando análise estatística multivariada e não-paramétrica

Fraga¹,

Almeida

Abreu

et al. 2021

Rev. Bras. Geog. Fis.

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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 do rio Piranga. Pelos resultados obtidos, a análise fatorial/análise de componentes principais apontou a alta susceptibilidade que a bacia apresenta à erosão do solo, a contaminação pelo lançamento de efluentes domésticos e a variabilidade da qualidade das águas em virtude dos metais pesados. As variáveis Escherichia coli, ferro dissolvido, fósforo total e manganês total apresentaram os valores de violação da classe de enquadramento mais críticos. A análise de tendência mostrou padrões diferentes para o índice de qualidade da água e para as variáveis mais relevantes para a qualidade da água. Dentre as variáveis que compõe o índice, destacam-se as tendências de aumento de nitrato em todas as estações analisadas. De maneira geral, os resultados mostraram que a qualidade da água na área de estudo varia em função da erosão do solo, do alto grau de contaminação por efluentes domésticos, da poluição difusa advinda das áreas agrícolas e dos metais pesados, sendo as variáveis de qualidade da água vinculadas a estes fatores as mais importantes. Surface water quality assessment in the hydrographic region of the Piranga River using multivariate and non-parametric statistical analysis ABSTRACTIn the state of Minas Gerais, campaigns to collect and analyze water quality in water bodies include up to 51 variables, which makes it difficult to analyze and interpret this data set and to identify the determining variables for water quality. Therefore, the objective of this work was to identify the main sources of pollution, as well as the behavior of water quality over the monitoring time, through different statistical analyzes in the hydrographic region of the Piranga River. Based on the results obtained, the factor analysis/principal component analysis out the high susceptibility that the hydrographic region presents to soil erosion, contamination by the release of domestic effluents and the variability of water quality due to heavy metals. The variables Escherichia coli, dissolved iron, total phosphorus and total manganese presented the most critical values of violation of the framework class. The trend analysis showed different patterns for the water quality index and for the most relevant variables for water quality. Among the variables that make up the index, the trends of nitrate increase in all analyzed stations stand out. In general, the results showed that the water quality in the unit varies depending on soil erosion, the high degree of contamination by domestic effluents, the diffuse pollution from agricultural areas and heavy metals, with water quality variables being linked to these factors the most important.Keywords: environmental analysis, Minas Gerais, water pollution, water resources.

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Section: Methodsunclassified

Avaliação da qualidade das águas superficiais na circunscrição hidrográfica do rio Piranga utilizando análise estatística multivariada e não-paramétrica

Fraga¹,

Almeida

Abreu

et al. 2021

Rev. Bras. Geog. Fis.

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“…At each stage, it is combined two clusters which present the smallest increase in the global sum of squares within the clusters. In the last years, several studies have used cluster analysis to assess water quality (LIMA et al, 2015;COSTA, 2015;PEREIRA, 2016).…”

Section: /11mentioning

confidence: 99%

Surface water quality assessment of the main tributaries in the lower São Francisco River, Sergipe

Britto

Vasco

Netto

et al. 2018

RBRH

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Contamination of water body by diffuse and point sources in springs has caused concerns mainly due to restrictions on its quality. The problem becomes more serious when contamination affects water for human consumption, as occurs in the river São Francisco, which supplies several municipalities of Sergipe. In this sense, the objective of the study was to evaluate water quality in eleven tributaries of the São Francisco river in its low course in the period from 2013 to 2014, in order to subsidize decision making by public management bodies operating in the region. For this purpose, it was used the Water Quality Index (WQI) and the Trophic State Index (TSI), as well the hierarchical grouping techniques associated to the samples to compare the different causes of contamination of each source. The lowest WQI values were observed in the rivers Betume and Jacaré and they were associated with high concentrations of coliforms related to the disposal of domestic effluents from the riverside cities. It was observed a tendency to eutrophication in the Jacaré stream, Santo Antônio, Pilões, Papagaio and Capivara rivers demonstrated by the high TSI in the rainy season. The results of the cluster analysis were close to their Euclidean distance, and showed that there were similarity relationships between the different water sources related to their parameters of water quality. In this piece of work, we also used the Factor Analysis resulted in the selection of five factors of water quality indicators which are mainly related to mineral content, organic matter, surface runoff and the level of pollution. Thus, it is concluded that the water quality of the São Francisco river tributaries is at a strong tendency towards contamination and that its tributaries need a constant monitoring for the environmental management decisions to be the most adequate for the sustainable survival of the riverside communities.

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“…The present study was carried out in the Contribution Basin of the Dr. João Penido Reservoir (CBJPR), located in the city of Juiz de Fora (MG), in the southeastern region of Brazil. Due to the importance of the reservoir for the city of Juiz de Fora, the quality of its water was the subject of investigation by some authors (Rocha & Branco, 1986;Pereira, 1991;Rocha et al, 2014;Bucci & Oliveira, 2014;Bucci et al, 2015;Rocha & Pereira, 2016;Rocha et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Impact of Changes in Land Use and Land Cover in the Contribution Basin of Doutor João Penido Water Supply Reservoir of Juiz de Fora, MG, Brazil

Lana¹,

Oliveira²,

Paula³

et al. 2021

JMS

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Changes in the land use and land cover in areas adjacent to water reservoirs directly affect the quality of this water. This research presents a study on the water quality in the basin of one of the most important public water supply reservoirs in the city of Juiz de Fora, Minas Gerais. The main objective of this study was to analyze the behavior of limnological parameters and the correlation with land use and land cover in the contribution basin of the Doutor João Penido reservoir (CBJPR). The methodology was based on the analysis of water quality parameters, related to water samples collected from 2012 to 2015. Six sampling points were chosen from different locations: spring, medium course, main tributaries of the reservoir and the reservoir catchment. The parameters analyzed were turbidity, total solids (TS), oxygen consumed (OC), dissolved oxygen (DO), electrical conductivity, total nitrogen (TN), total phosphorus (TP), E. Coli, temperature, pH and total dissolved solids (TDS). The Kendall’s tau test was used to analyze the correlations between the parameters of water quality, land use and land cover in the CBJPR. In general, measured parameters showed better results in spring and in reservoir catchment, showing a worse quality of the water along the tributaries and the dilution power of the reservoir. The correlations pointed to the need for protection and preservation of forests in strategic locations to ensure good water quality.

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Análise multivariada para seleção de parâmetros de monitoramento em manancial de Juiz de Fora, Minas Gerais

Cited by 12 publications

References 23 publications

Avaliação da qualidade das águas superficiais na circunscrição hidrográfica do rio Piranga utilizando análise estatística multivariada e não-paramétrica

Avaliação da qualidade das águas superficiais na circunscrição hidrográfica do rio Piranga utilizando análise estatística multivariada e não-paramétrica

Surface water quality assessment of the main tributaries in the lower São Francisco River, Sergipe

Impact of Changes in Land Use and Land Cover in the Contribution Basin of Doutor João Penido Water Supply Reservoir of Juiz de Fora, MG, Brazil

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