Rogelio Estrada

Dr. Rogelio Estrada

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2020 in Water Environment Research
Verified
Journal Article
Closed access
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Yaneth Alejandra Bustos-TerronesYaneth Alejandra Bustos-Terrones
Yaneth Alejandra Bustos-Terrones
RERogelio Estrada
Rogelio Estrada
BRBLENDA RAMIREZ-PEREDA
BLENDA RAMIREZ-PEREDA
Victoria Bustos-TerronesVictoria Bustos-Terrones
Victoria Bustos-Terrones
Jesus Gabriel Rangel-PerazaJesus Gabriel Rangel-Peraza
Jesus Gabriel Rangel-Peraza

7 July 2022 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Juan-Gabriel Gabriel LoaizaJuan-Gabriel Gabriel Loaiza
Juan-Gabriel Gabriel Loaiza
Yaneth Alejandra Bustos-TerronesYaneth Alejandra Bustos-Terrones
Yaneth Alejandra Bustos-Terrones
Victoria Bustos-TerronesVictoria Bustos-Terrones
Victoria Bustos-Terrones
SASergio Alberto Monjardin Armenta
Sergio Alberto Monjardin Armenta
AQAlberto Quevedo-Castro
Alberto Quevedo-Castro
Jesus Gabriel Rangel-PerazaJesus Gabriel Rangel-Peraza
Jesus Gabriel Rangel-Peraza
Groundwater is an important source of fresh water in the world. However, the excessive extraction and increasing pollution represent a major challenge for water sustainability in Mexico. Nowadays, since water quality changes in aquifers are not noticeable, aquifer monitoring and assessment are imperious. In this study, the water quality of the Cuernavaca aquifer was evaluated using a database of 23 parameters in 4 sampling points from 2012 to 2019. The spatial behavior of water quality variables was described by using interpolation. The temporal evaluation of groundwater quality was carried out through time series. Water quality indices (WQI) were obtained in this aquifer and the WQI values suggest that the groundwater could be considered as good quality for potable use and of medium-high quality for irrigation. The chemical characteristics of the groundwater were also evaluated using Gibb, Piper, and Schoeller diagrams. Finally, with a total of 34 samples of each parameter in each sampling site, a multivariate statistical analysis was performed using a Pearson correlation and hierarchical cluster analysis. This analysis showed a correlation between hydrochemical features and groundwater quality parameters, where nitrates presented the highest number of significant correlations with other parameters. These results may be useful for the authorities to adopt planning methods to improve the sustainable development of the aquifer.