Aplicação da análise estatística multivariada no estudo da qualidade da água do Rio Pomba, MG

Guedes, Hugo Alexandre Soares; Silva, Demétrius D. da; Elesbon, Abrahão Alexandre Alden; Ribeiro, Celso Bandeira de Melo; Matos, Antônio Teixeira de; Soares, José Homero Pinheiro

doi:10.1590/s1415-43662012000500012

Cited by 86 publications

(82 citation statements)

References 16 publications

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“…Comparing Tables 1 and 2, a reduction in the percentage of the total variance can be seen, which is explained by VF1 (23.00%) and VF2 (17.24%), with a consequent increase in the percentage of variance, explained by VF3 (16, 94%), VF4 (13.76%) and VF5 (13.44%), with there being no change in the total explained by the model (84.39%). A better distribution of the total variance among the components by matrix rotation was also observed by Bouza-Deaño et al (2008), Li et al (2011 and Guedes et al (2012), in research into water quality.…”

Section: Resultssupporting

confidence: 52%

“…As the demand for water resources in the world increases, the likelihood of providing fresh water decreases. As an aggravating factor, in recent decades water quality has been deteriorating rapidly, which prevents the use of important reservoirs (Alexandre et al, 2010;Palácio et al;, Li et al, 2011Guedes et al, 2012). These studies demonstrate the tendency of water resources to become ever scarcer, both quantitatively and qualitatively, should no clear action be taken which is aimed at improving the management of the supply and demand of water for different uses.…”

Section: Introductionmentioning

confidence: 96%

“…In semiarid regions at low latitudes, dams and the artificial year-round use of rivers make up the main source of water for domestic, industrial and agricultural consumption . As an important tool in the management of water resources, the assessment of water quality, should include the monitoring of trends which evolve both spatially and over time, thus enabling the identification of those anthropic and natural factors which determine the quality of surface waters (BrodnjakVoncina et al, 2002;Andrade et al, 2007;Bouza-Deaño et al, 2008;Li et al, 2011), in an effort to support environmental control measures (Guedes et al, 2012). The evaluation of water quality, as well as its spatial and temporal evolution, will only be possible through the implementation of systematic monitoring programs, resulting in a series of historical data that in the future can be analyzed in order to establish standards for seasonal and spatial distribution.…”

Section: Introductionmentioning

confidence: 99%

“…Multivariate statistics along with Principal Component Analysis (PCA) and Cluster Analysis (CA) have been widely used in data from the monitoring of water quality (Singh et al, 2004;Andrade et al, 2008;Fernandes et al, 2010;Tanriverdi & Demirkiran, 2010;Guedes et al, 2012). This type of analysis reduces the observational data and allows the interpretation of various components individually, since it can indicate associations between samples and/or variables, and also allows identification of possible factors and sources which influence the water system (Bouza-Deaño et al, 2008;Palácio et al, 2011;Guedes et al, 2012;Varol et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…This type of analysis reduces the observational data and allows the interpretation of various components individually, since it can indicate associations between samples and/or variables, and also allows identification of possible factors and sources which influence the water system (Bouza-Deaño et al, 2008;Palácio et al, 2011;Guedes et al, 2012;Varol et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Assessment of the water quality in a large reservoir in semiarid region of Brazil

Lopes

Andrade

Meireles

et al. 2014

Rev. bras. eng. agríc. ambient.

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A B S T R A C TThe aim of this study was to identify spatial and temporal variations in water quality of Orós reservoir, Ceará, Brazil, as well as the sources of contamination. To get this information the Principal Component Analysis (PCA) and Cluster Analysis (CA) was used. Water samples were collected at seven (geo-referenced) points, from April 2008 to March 2011, totalling 4,032 samples. The following attributes of the waters were analysed: temperature, pH, CE, Ca , turbidity, colour, Sechi transparency, TS, TVS, TFS, TSS, VSS, FSS, TDS, DO, BO 5D , total phosphorus, soluble orthophosphate, EC, TTC, total ammonia, TKN, nitrate, SAR and chlorophyll-a. The PCA promoted the reduction from the 32 initial variables to 14, accounting for 84.39% of the total variance. The major factors responsible for water quality composition are: the natural weathering of geological soil components; the entrainment of suspended solids through surface runoff from agricultural areas; and anthropogenic action in the Upper Jaguaribe basin in Ceará. The similarity of the water of the Orós reservoir allows a reduction in the number of sampling points, which may result in significant cost savings without sacrificing the water quality monitoring. The similarity of the waters was influenced by anthropic activities being carried out near the reservoir and all along the watershed.Investigação da qualidade das águas de um grande reservatório na região semiárida do Brasil R E S U M O Objetivou-se estudar, com esta pesquisa, a variabilidade espaço temporal da qualidade das águas do açude Orós, Ceará, além das variáveis determinantes desta qualidade razão pela qual foram empregadas a análise de componentes principais (ACP) e a análise de agrupamento hierárquico (AAH). As amostras de água foram coletadas em sete pontos (georreferenciados), no período de abril de 2008 a março de 2011, totalizando 4032 amostras. Nas águas foram analisados os seguintes atributos: temperatura, pH, CE, Ca , turbidez, cor, transparência de sechi, ST, STV, STF, SST, SSV, SSF, SDT, OD, DBO 5 , fósforo total, ortofosfato solúvel, EC, CTT, amônia total, NKT, nitrato, RAS e clorofila-a. A ACP promoveu redução das 32 variáveis iniciais para 14 variáveis explicando 84,39% da variância total. Os principais fatores responsáveis pela qualidade das águas do Orós foram: processo natural de intemperismo dos componentes geológicos do solo; carreamentos dos sólidos suspensos através do escoamento superficial das águas oriundas de áreas agrícolas e ações humanas ocorridas nas partes altas da bacia do Alto Jaguaribe. A similaridade das águas do Orós permite uma redução nos pontos de amostragem, o que pode resultar em menor custo sem comprometer o monitoramento da qualidade das águas. A similaridade das águas foi influenciada pelas atividades antrópicas exercidas nas proximidades do reservatório e ao longo da bacia.

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Section: Resultssupporting

confidence: 52%