Use of multivariate statistical methods to analyze the monitoring of surface water quality in the Doce River basin, Minas Gerais, Brazil

Fraga, Micael de Souza; Reis, Guilherme Barbosa; Silva, Demétrius David da; Guedes, Hugo Alexandre Soares; Elesbon, Abrahão Alexandre Alden

doi:10.1007/s11356-020-09783-0

Cited by 44 publications

(18 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Como a mesma variável de qualidade da água pode apresentar alta carga fatorial em mais de um dos fatores, foi adotado o procedimento de rotação ortogonal da matriz de cargas fatoriais através do método varimax, sendo esse frequentemente utilizado em diversos estudos de qualidade da água (Mohamed et al 2015;Barakat et al 2016;Corrêa et al 2019;Fraga et al 2020).…”

Section: Methodsunclassified

“…Dentre as metodologias disponíveis para interpretar grandes bancos de dados, os métodos multivariados e não-paramétricos vêm sendo amplamente utilizados para apoiar a gestão dos recursos hídricos, extraindo informações significativas a partir dessas bases de dados geradas pelas campanhas de monitoramento (Yenilmez et al 2011;Ajorlo et al 2013; Chowdhury e Al-Zahrani 2014; Mohamed et al 2015;Dou et al 2016;Ji et al 2016;Zeinalzadeh e Rezaei 2017;Herojeet et al 2017;Calazans et al 2018bCalazans et al , 2018aPereira et al 2018;Pinto et al 2019;Fraga et al 2020;Soares et al 2020).…”

Section: Introductionunclassified

See 1 more Smart Citation

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.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Methodsunclassified

Section: Introductionunclassified

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.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Before proceeding with PCA, the Bartlett test (B) was performed to test the null hypothesis (H 0 ) that the variables are not correlated (there is non-collinearity between the variables), which would make PCA impossible because it depends on the construction linear combination of variables. The Kaiser-Meyer-Olkin index (KMO) was also used to check the suitability of ACP, with a KMO value> 0.5 (Fraga et al, 2020) (31) being desirable.…”

Section: Methodsmentioning

confidence: 99%

Spatio-temporal analysis between the incidence of COVID-19 and human development in Mato Grosso do Sul, Brazil

Souza

Abreu

Oliveira‐Júnior

2021

Preprint

View full text Add to dashboard Cite

ObjetiveTo analyze the spatial distribution of the Covid-19 incidence and its correlation with the municipal human development index (IDHM) in the state of Mato Grosso do Sul (MS), Brazil.MethodsThis is an ecological, exploratory and analytical study whose units of analysis were the 79 municipalities that make up the state of MS. Covid-19 incidence coefficients, death numbers, lethality rate, mortality rate and Human Development Index for municipalities (IDHM) in the period from March 2020 to December 31, 2020 were used. spatial correlations between the variables mentioned above.ResultsThe incidence of Covid-19 has spatial dependence with moderate positive correlation and formation of clusters located in the Metropolitan Region of Campo Grande (RMCG) and municipalities in the region.ConclusionThe uneven mapping of Covid-19 and its relationship with IDHM in the Ministry of Health can contribute to actions to address the regional pandemic.

show abstract

“…In addition, Fe 2+ ions produced by DIRMs can chemically reduce Mn(IV) to Mn(II) [104]. After failure of the Fundão Dam, the concentrations of Fe, Mn, Al, and/or Cd in waters along impacted stretches of the Doce River watershed have increased [56,60,113]. The release of these metals from tailings and other minerals from bottom sediments due to the activities of DIRMs is a probable cause.…”

Section: Significance Of Dirms In the Context Of Riverine Sediments Enriched In Tailingsmentioning

confidence: 99%

Dissimilatory Iron-Reducing Microorganisms Are Present and Active in the Sediments of the Doce River and Tributaries Impacted by Iron Mine Tailings from the Collapsed Fundão Dam (Mariana, MG, Brazil)

et al. 2021

View full text Add to dashboard Cite

On November 5, 2015, a large tailing deposit failed in Brazil, releasing an estimated 32.6 to 62 million m3 of iron mining tailings into the environment. Tailings from the Fundão Dam flowed down through the Gualaxo do Norte and Carmo riverbeds and floodplains and reached the Doce River. Since then, bottom sediments have become enriched in Fe(III) oxyhydroxides. Dissimilatory iron-reducing microorganisms (DIRMs) are anaerobes able to couple organic matter oxidation to Fe(III) reduction, producing CO2 and Fe(II), which can precipitate as magnetite (FeO·Fe2O3) and other Fe(II) minerals. In this work, we investigated the presence of DIRMs in affected and non-affected bottom sediments of the Gualaxo do Norte and Doce Rivers. The increase in Fe(II) concentrations in culture media over time indicated the presence of Fe(III)-reducing microorganisms in all sediments tested, which could reduce Fe(III) from both tailings and amorphous ferric oxyhydroxide. Half of our enrichment cultures converted amorphous Fe(III) oxyhydroxide into magnetite, which was characterized by X-ray diffraction, transmission electron microscopy, and magnetic measurements. The conversion of solid Fe(III) phases to soluble Fe(II) and/or magnetite is characteristic of DIRM cultures. The presence of DIRMs in the sediments of the Doce River and tributaries points to the possibility of reductive dissolution of goethite (a-FeOOH) and/or hematite (a-Fe2O3) from sediments, along with the consumption of organics, release of trace elements, and impairment of water quality.

show abstract

Use of multivariate statistical methods to analyze the monitoring of surface water quality in the Doce River basin, Minas Gerais, Brazil

Cited by 44 publications

References 55 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

Spatio-temporal analysis between the incidence of COVID-19 and human development in Mato Grosso do Sul, Brazil

Dissimilatory Iron-Reducing Microorganisms Are Present and Active in the Sediments of the Doce River and Tributaries Impacted by Iron Mine Tailings from the Collapsed Fundão Dam (Mariana, MG, Brazil)

Contact Info

Product

Resources

About