Assessment of the Water Quality of the Mirim Lagoon and the São Gonçalo Channel Through Qualitative Indices and Statistical Methods

Silveira, Vitória Rovel da; Valentini, Marlon Heitor Kunst; Santos, Gabriel Borges dos; Nadaleti, Willian Cezár; Vieira, Bruno Müller

doi:10.1007/s11270-021-05160-w

Cited by 11 publications

(3 citation statements)

References 34 publications

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“…Santos et al (2020a) also claim for the presence of phosphorus (P) in surface water may indicate pollution caused by agricultural practices.As well, the study developed byFia et al (2009) analyzed the trophic characteristics of the main watercourses tributary to Mirim Lagoon and describes concentrations of phosphorus (P) above the permitted levels by law, because several of these water resources cross localities with strong agricultural activity and are used by rice farmers to collect water to irrigate their crops, returning the water used in rice crops to water bodies, which end up receiving chemical and organic phosphate fertilizers(Grützmacher et al 2008). The results ofSilveira et al (2021) corroborate with this study, according to which they noted a strong correlation between the parameter phosphorus (P) and the Trophic State Index of Mirim Lagoon.…”

supporting

confidence: 87%

Water quality indexes and multivariate statistic methods application: case study of Mirin Lagoon

Borges,

Valentini,

Santos

et al. 2023

Preprint

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The irrational use of water bodies has been a main concern worldwide, requiring the steady monitoring of water sources in order to track whether the water quality parameters are within the guidelines limits. Therefore, the current study aims to evaluate the water quality of Mirim Lagoon by using a water quality index and statistical methods. Also, this study seeks to analyze, by the correlation matrix, the influence of the parameters used in WQI on the results of the index for Mirin Lagoon, as well as compare and validate, via a significance test, the results of WQIValentini with the results of WQICETESB, widely applied in Brazil. The water samples analyzed in this study were collected over the years 2018, 2019, 2020, 2021, and 2022 from several monitoring points of Mirim Lagoon. The WQICETESB results of the monitoring points in Mirim Lagoon, ranged from 58.3 to 81, falling within acceptable and good water quality, respectively. Regarding the correlation-WQI parameter, phosphorus was the most representative parameter for the WQICETESB result in the monitoring points ML1, ML2, ML3, ML4, and ML5, while the thermotolerant coliforms was the most significant parameter for the points ML6 and ML7. On the other hand, the WQIValentini results ranged from 48.0 to 76.9, maintaining the absolute majority within acceptable and good ranges. Moreover, in order to compare the results of WQICETESB with the WQIValentini, and, hence, prove or disprove the equivalence of both, a paired t-test was used, demonstrating that there is no significant variation between both indexes. The results of this study enabled us to evaluate the Mirim Lagoon water quality by using WQICETESB and WQIValentini, as well as by using multivariate statistical methods. In addition, regarding the use of the WQIValentini to assess Mirin Lagoon water quality, there was evidence that this index generates results statistically indistinguishable from those generated by the WQICETESB, proving its applicability for water quality monitoring of this lagoon. Furthermore, it is worth mentioning that the use of an adequate equation with fewer variables provides a reduction in the costs of physicochemical and microbiological analysis, which may encourage environmental agencies to invest more in water quality monitoring.

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supporting

confidence: 87%

Water quality indexes and multivariate statistic methods application: case study of Mirin Lagoon

Borges,

Valentini,

Santos

et al. 2023

Preprint

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“…The importance of statistical analyses such as correlation analysis for water quality monitoring is also worth mentioning. Several studies in Brazil and around the world have used these analyses in order to infer the processes that influence the water quality, helping to identify sources of pollution and to take measures to maintain the water quality (Bilgin, 2015;Kumar et al, 2016;Oliveira et al, 2019;Silveira et al, 2021;Valentini et al, 2021a;Valentini et al, 2021b;Wu et al, 2018).…”

Section: Correlation Matrixmentioning

confidence: 99%

“…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%

Análise da Influência de Fatores Climáticos na Concentração de Ferro e Manganês em Água Bruta Destinada a um Sistema de Tratamento de Água

Valentini

Santos²,

Franz³

et al. 2022

Rev. Bras. Geog. Fis.

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In surface water body sources intended for domestic system, iron and manganese concentrations has often been presented an increase in its values, it is recurrent during the warm seasons. As the chemical dynamic of water bodies is dependent on the environmental conditions, climatic aspects which affects temperature and dissolved oxygen in the water, will also affect the concentration and structure of these ions. Therefore, the present study aims to evaluate the influence of temperature and rainfall rates on the iron and manganese concentrations of the water source of the Water Treatment System -Terras Baixas, by using statistical methods, in a series of five years of data (2013 to 2017). The results of iron and manganese concentrations shows an increase during the hot seasons, and, through the statistical methods used, it was possible to conclude that, regarding temperature and rain factors, only temperature had a significant influence on these variables.

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Quantitative water balance of surface waters for a transboundary basin in South America

Santos

Collares

Boeira

et al. 2023

Environ Dev Sustain

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Assessment of the Water Quality of the Mirim Lagoon and the São Gonçalo Channel Through Qualitative Indices and Statistical Methods

Cited by 11 publications

References 34 publications

Water quality indexes and multivariate statistic methods application: case study of Mirin Lagoon

Water quality indexes and multivariate statistic methods application: case study of Mirin Lagoon

Análise da Influência de Fatores Climáticos na Concentração de Ferro e Manganês em Água Bruta Destinada a um Sistema de Tratamento de Água

Quantitative water balance of surface waters for a transboundary basin in South America

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