Spatial and Seasonal Assessment of Water Quality in the Lobo Stream River Basin, Brazil Using Multivariate Statistical Techniques

Abstract In view of the complexity of the processes associated to water quality, this study objective is to identify the main factors related to spatial and seasonal variability in water courses of the Lobo Stream River Basin. To this, multivariate statistical techniques were used. Data collection f...

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Main Authors: GABRIELA L. NEVES, TAINÁ T. GUIMARÃES, PHELIPE S. ANJINHO, MARIANA A.G.A. BARBOSA, ALLITA R. DOS SANTOS, JORIM S. VIRGENS FILHO, FREDERICO F. MAUAD
Format: Article
Language:English
Published: Academia Brasileira de Ciências 2021-12-01
Series:Anais da Academia Brasileira de Ciências
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000801010&tlng=en
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author GABRIELA L. NEVES
TAINÁ T. GUIMARÃES
PHELIPE S. ANJINHO
MARIANA A.G.A. BARBOSA
ALLITA R. DOS SANTOS
JORIM S. VIRGENS FILHO
FREDERICO F. MAUAD
author_facet GABRIELA L. NEVES
TAINÁ T. GUIMARÃES
PHELIPE S. ANJINHO
MARIANA A.G.A. BARBOSA
ALLITA R. DOS SANTOS
JORIM S. VIRGENS FILHO
FREDERICO F. MAUAD
author_sort GABRIELA L. NEVES
collection DOAJ
description Abstract In view of the complexity of the processes associated to water quality, this study objective is to identify the main factors related to spatial and seasonal variability in water courses of the Lobo Stream River Basin. To this, multivariate statistical techniques were used. Data collection for water quality and streamflow variables were carried out monthly, from May 2018 to April 2019, at 10 monitoring points along basin’s tributaries. The results show that, during the dry season, the main causes for water quality decrease are related to erosion process on the river margins, which is intensified by inadequate handling in livestock activities in some monitoring points. In the rainy season, the main causes are related to soil leaching in agricultural areas that increases the nitrogen compounds concentration and reduces water quality. However, in addition to this, it was noted that regardless the environmental conditions, the most impactful factor is the point pollution from the effluent discharge of Itirapina City sewage treatment plant, responsible for nutrient concentration increase, organic contamination, OD reduction, and, consequently, water quality deterioration. With this, the study shows how multivariate statistical analysis enables more relevant evaluation of water quality data variability and supports further studies in the basin.
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spelling doaj.art-9d576b00bdcd4180bb7447a7c5b890f92022-12-21T19:22:39ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26902021-12-0193suppl 410.1590/0001-3765202120210072Spatial and Seasonal Assessment of Water Quality in the Lobo Stream River Basin, Brazil Using Multivariate Statistical TechniquesGABRIELA L. NEVEShttps://orcid.org/0000-0002-4959-9005TAINÁ T. GUIMARÃEShttps://orcid.org/0000-0002-6362-6591PHELIPE S. ANJINHOhttps://orcid.org/0000-0002-0162-2042MARIANA A.G.A. BARBOSAhttps://orcid.org/0000-0001-7899-4752ALLITA R. DOS SANTOShttps://orcid.org/0000-0002-5394-4035JORIM S. VIRGENS FILHOhttps://orcid.org/0000-0003-2722-9481FREDERICO F. MAUADhttps://orcid.org/0000-0002-2477-2019Abstract In view of the complexity of the processes associated to water quality, this study objective is to identify the main factors related to spatial and seasonal variability in water courses of the Lobo Stream River Basin. To this, multivariate statistical techniques were used. Data collection for water quality and streamflow variables were carried out monthly, from May 2018 to April 2019, at 10 monitoring points along basin’s tributaries. The results show that, during the dry season, the main causes for water quality decrease are related to erosion process on the river margins, which is intensified by inadequate handling in livestock activities in some monitoring points. In the rainy season, the main causes are related to soil leaching in agricultural areas that increases the nitrogen compounds concentration and reduces water quality. However, in addition to this, it was noted that regardless the environmental conditions, the most impactful factor is the point pollution from the effluent discharge of Itirapina City sewage treatment plant, responsible for nutrient concentration increase, organic contamination, OD reduction, and, consequently, water quality deterioration. With this, the study shows how multivariate statistical analysis enables more relevant evaluation of water quality data variability and supports further studies in the basin.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000801010&tlng=enanthropic activitiescluster analysiscorrelation matrixhydrological variablesprincipal component analysiswater pollution
spellingShingle GABRIELA L. NEVES
TAINÁ T. GUIMARÃES
PHELIPE S. ANJINHO
MARIANA A.G.A. BARBOSA
ALLITA R. DOS SANTOS
JORIM S. VIRGENS FILHO
FREDERICO F. MAUAD
Spatial and Seasonal Assessment of Water Quality in the Lobo Stream River Basin, Brazil Using Multivariate Statistical Techniques
Anais da Academia Brasileira de Ciências
anthropic activities
cluster analysis
correlation matrix
hydrological variables
principal component analysis
water pollution
title Spatial and Seasonal Assessment of Water Quality in the Lobo Stream River Basin, Brazil Using Multivariate Statistical Techniques
title_full Spatial and Seasonal Assessment of Water Quality in the Lobo Stream River Basin, Brazil Using Multivariate Statistical Techniques
title_fullStr Spatial and Seasonal Assessment of Water Quality in the Lobo Stream River Basin, Brazil Using Multivariate Statistical Techniques
title_full_unstemmed Spatial and Seasonal Assessment of Water Quality in the Lobo Stream River Basin, Brazil Using Multivariate Statistical Techniques
title_short Spatial and Seasonal Assessment of Water Quality in the Lobo Stream River Basin, Brazil Using Multivariate Statistical Techniques
title_sort spatial and seasonal assessment of water quality in the lobo stream river basin brazil using multivariate statistical techniques
topic anthropic activities
cluster analysis
correlation matrix
hydrological variables
principal component analysis
water pollution
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652021000801010&tlng=en
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