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

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  • Juan G. Loaiza

    (División de Estudios de Posgrado e Investigación, TecNM-Instituto Tecnológico de Culiacán. Juan de Dios Batíz 310. Col. Guadalupe, 80220. Culiacán, SI, México)

  • Jesús Gabriel Rangel-Peraza

    (División de Estudios de Posgrado e Investigación, TecNM-Instituto Tecnológico de Culiacán. Juan de Dios Batíz 310. Col. Guadalupe, 80220. Culiacán, SI, México)

  • Antonio Jesús Sanhouse-García

    (Departamento de Tecnología Ambiental, Universidad Tecnológica de Culiacán, Carr. Culiacán-Imala, Km 2, Los Ángeles, 80014. Culiacán, SI, México)

  • Sergio Alberto Monjardín-Armenta

    (Facultad de Ciencias de la Tierra y el Espacio, Universidad Autónoma de Sinaloa. Circuito Interior Oriente, Cd Universitaria, 80040. Culiacán, SI. México)

  • Zuriel Dathan Mora-Félix

    (División de Estudios de Posgrado e Investigación, TecNM-Instituto Tecnológico de Culiacán. Juan de Dios Batíz 310. Col. Guadalupe, 80220. Culiacán, SI, México)

  • Yaneth A. Bustos-Terrones

    (División de Estudios de Posgrado e Investigación, CONACYT/TecNM-Instituto Tecnológico de Culiacán. Juan de Dios Batíz 310. Col. Guadalupe, 80220. Culiacán, SI, México;)

Abstract

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.

Suggested Citation

  • Juan G. Loaiza & Jesús Gabriel Rangel-Peraza & Antonio Jesús Sanhouse-García & Sergio Alberto Monjardín-Armenta & Zuriel Dathan Mora-Félix & Yaneth A. Bustos-Terrones, 2021. "Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis," IJERPH, MDPI, vol. 18(14), pages 1-20, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7456-:d:593208
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    References listed on IDEAS

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    1. Wenjie Yang & Yue Zhao & Dong Wang & Huihui Wu & Aijun Lin & Li He, 2020. "Using Principal Components Analysis and IDW Interpolation to Determine Spatial and Temporal Changes of Surface Water Quality of Xin’anjiang River in Huangshan, China," IJERPH, MDPI, vol. 17(8), pages 1-14, April.
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