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Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis

Agricultural activities are highly related to the reduction of the availability of water resources due to the consumption of freshwater for crop irrigation, the use of fertilizers and pesticides. In this study, the water quality of the Adolfo López Mateos (ALM) reservoir was evaluated. This is one o...

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Autores principales: Loaiza, Juan G., Rangel-Peraza, Jesús Gabriel, Sanhouse-García, Antonio Jesús, Monjardín-Armenta, Sergio Alberto, Mora-Félix, Zuriel Dathan, Bustos-Terrones, Yaneth A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305193/
https://www.ncbi.nlm.nih.gov/pubmed/34299908
http://dx.doi.org/10.3390/ijerph18147456
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author Loaiza, Juan G.
Rangel-Peraza, Jesús Gabriel
Sanhouse-García, Antonio Jesús
Monjardín-Armenta, Sergio Alberto
Mora-Félix, Zuriel Dathan
Bustos-Terrones, Yaneth A.
author_facet Loaiza, Juan G.
Rangel-Peraza, Jesús Gabriel
Sanhouse-García, Antonio Jesús
Monjardín-Armenta, Sergio Alberto
Mora-Félix, Zuriel Dathan
Bustos-Terrones, Yaneth A.
author_sort Loaiza, Juan G.
collection PubMed
description Agricultural activities are highly related to the reduction of the availability of water resources due to the consumption of freshwater for crop irrigation, the use of fertilizers and pesticides. In this study, the water quality of the Adolfo López Mateos (ALM) reservoir was evaluated. This is one of the most important reservoirs in Mexico since the water stored is used mainly for crop irrigation in the most productive agricultural region. A comprehensive evaluation of water quality was carried out by analyzing the behavior of 23 parameters at four sampling points in the period of 2012-2019. The analysis of the spatial behavior of the water quality parameters was studied by spatial distribution graphs using the Inverse Distance Weighting interpolation. Pearson correlation was performed to better describe the behavior of all water quality parameters. This analysis revealed that many of these parameters were significantly correlated. The Principal Components Analysis (PCA) was carried out and showed the importance of water quality parameters. Ten principal components were obtained, which explained almost 90% of the total variation of the data. Additionally, the comprehensive pollution index showed a slight water quality variation in the ALM reservoir. This study also demonstrated that the main source of contamination in this reservoir occurs near sampling point one. Finally, the results obtained indicated that a contamination risk in the waterbody and further severe ecosystem degradations may occur if appropriate management is not taken.
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spelling pubmed-83051932021-07-25 Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis Loaiza, Juan G. Rangel-Peraza, Jesús Gabriel Sanhouse-García, Antonio Jesús Monjardín-Armenta, Sergio Alberto Mora-Félix, Zuriel Dathan Bustos-Terrones, Yaneth A. Int J Environ Res Public Health Article Agricultural activities are highly related to the reduction of the availability of water resources due to the consumption of freshwater for crop irrigation, the use of fertilizers and pesticides. In this study, the water quality of the Adolfo López Mateos (ALM) reservoir was evaluated. This is one of the most important reservoirs in Mexico since the water stored is used mainly for crop irrigation in the most productive agricultural region. A comprehensive evaluation of water quality was carried out by analyzing the behavior of 23 parameters at four sampling points in the period of 2012-2019. The analysis of the spatial behavior of the water quality parameters was studied by spatial distribution graphs using the Inverse Distance Weighting interpolation. Pearson correlation was performed to better describe the behavior of all water quality parameters. This analysis revealed that many of these parameters were significantly correlated. The Principal Components Analysis (PCA) was carried out and showed the importance of water quality parameters. Ten principal components were obtained, which explained almost 90% of the total variation of the data. Additionally, the comprehensive pollution index showed a slight water quality variation in the ALM reservoir. This study also demonstrated that the main source of contamination in this reservoir occurs near sampling point one. Finally, the results obtained indicated that a contamination risk in the waterbody and further severe ecosystem degradations may occur if appropriate management is not taken. MDPI 2021-07-13 /pmc/articles/PMC8305193/ /pubmed/34299908 http://dx.doi.org/10.3390/ijerph18147456 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Loaiza, Juan G.
Rangel-Peraza, Jesús Gabriel
Sanhouse-García, Antonio Jesús
Monjardín-Armenta, Sergio Alberto
Mora-Félix, Zuriel Dathan
Bustos-Terrones, Yaneth A.
Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis
title Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis
title_full Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis
title_fullStr Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis
title_full_unstemmed Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis
title_short Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis
title_sort assessment of water quality in a tropical reservoir in mexico: seasonal, spatial and multivariable analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305193/
https://www.ncbi.nlm.nih.gov/pubmed/34299908
http://dx.doi.org/10.3390/ijerph18147456
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