Temporal and spatial trend analysis of surface water quality in the Doce River basin, Minas Gerais, Brazil

2021 ◽  
Author(s):  
Micael de Souza Fraga ◽  
Demetrius David da Silva ◽  
Guilherme Barbosa Reis ◽  
Hugo Alexandre Soares Guedes ◽  
Abrahão Alexandre Alden Elesbon
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Trend Analysis ◽  
River Basin ◽  
Surface Water Quality ◽  
Minas Gerais ◽  
Spatial Trend ◽  
Temporal And Spatial ◽  
Doce River

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

2020 ◽  
Vol 27 (28) ◽  
pp. 35303-35318 ◽  
Author(s):  
Micael de Souza Fraga ◽  
Guilherme Barbosa Reis ◽  
Demetrius David da Silva ◽  
Hugo Alexandre Soares Guedes ◽  
Abrahão Alexandre Alden Elesbon
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Statistical Methods ◽  
River Basin ◽  
Surface Water Quality ◽  
Minas Gerais ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Doce River

scholarly journals Spatial-temporal analysis of the surface water quality of the Pará River Basin through statistical techniques

2019 ◽  
Vol 14 (1) ◽  
pp. 1
Author(s):  
Josiani Cordova de Oliveira ◽  
Kelly Prado Maia ◽  
Nara Linhares Borges de Castro ◽  
Sílvia Maria Alves Corrêa Oliveira
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Statistical Tests ◽  
Surface Water Quality ◽  
Minas Gerais ◽  
State Legislation ◽  
Historical Series ◽  
The Impact

Water quality issues are a growing concern due to the the recent intensification of urbanization and industrialization. This paper evaluates and compares the surface water quality of the ten sub-basins of the Pará River, located in the São Francisco River Basin, Minas Gerais, and evaluates the impact of seasonality and the compliance with the current limits of state legislation. The surface water quality monitoring database of the Institute of Water Management of Minas Gerais (Igam) was used, and 18 parameters were analyzed from a historical series from 2008 to 2016, totaling 16,651 observations. First, the descriptive statistics of the parameters were calculated, considering each sub-basin separately. Then, for the temporal and spatial analysis, the Kruskal-Wallis nonparametric statistical tests were applied, followed by the multiple comparison test, with an alpha level of 5%, due to the asymmetric behavior of the data. Thus, it was possible to compare water quality of the sub-basins in rainy and dry seasons and to identify which parameters were responsible for the greater degradation. In the compliance analysis to the current limits of state legislation, it was identified that all of the sub-basins were out of the specified range for at least one of the evaluated parameters. Finally, the seasonality analysis exposed significant differences in the parameters of dissolved oxygen, turbidity, total suspended solids, total solids and water temperature, where it was shown that there was a worsening of water quality in the rainy season for most sub-basins.

Using multivariate techniques as a strategy to guide optimization projects for the surface water quality network monitoring in the Velhas river basin, Brazil

2018 ◽  
Vol 190 (12) ◽  
Author(s):  
Giovanna Moura Calazans ◽  
Carolina Cristiane Pinto ◽  
Elizângela Pinheiro da Costa ◽  
Anna Flávia Perini ◽  
Sílvia Corrêa Oliveira
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Network Monitoring ◽  
Surface Water Quality ◽  
Multivariate Techniques
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