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GIS, Multivariate Statistics Analysis and Health Risk Assessment of Water Supply Quality for Human Use in Central Mexico
by
Ojeda-Castillo, Valeria
, Real-Olvera, Jorge del
, Bandala, Erick R.
, Díaz-Torres, José de Jesús
, López-Cervantes, Malaquías
, Morton-Bermea, Ofelia
, Panduro-Rivera, María Guadalupe
, Flores-Payán, Valentín
, Santacruz-Benítez, Rogelio
, Vallejo-Rodríguez, Ramiro
, Hernández-Mena, Leonel
, Pacheco-Domínguez, Reyna Lizette
, Osuna-Laveaga, Daryl Rafael
in
acidity
/ anthropogenic activities
/ Arsenic
/ carcinogenicity
/ color
/ Drinking water
/ dry season
/ Geographic information systems
/ Groundwater
/ health effects assessments
/ Health risk assessment
/ Health risks
/ Heavy metals
/ human health
/ humans
/ ingestion
/ Mexico
/ multivariate analysis
/ Municipalities
/ Pollutants
/ Principal components analysis
/ risk
/ Statistical analysis
/ Surface water
/ turbidity
/ water
/ water pollution
/ Water quality
/ Water supply
/ water temperature
/ wet season
2021
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GIS, Multivariate Statistics Analysis and Health Risk Assessment of Water Supply Quality for Human Use in Central Mexico
by
Ojeda-Castillo, Valeria
, Real-Olvera, Jorge del
, Bandala, Erick R.
, Díaz-Torres, José de Jesús
, López-Cervantes, Malaquías
, Morton-Bermea, Ofelia
, Panduro-Rivera, María Guadalupe
, Flores-Payán, Valentín
, Santacruz-Benítez, Rogelio
, Vallejo-Rodríguez, Ramiro
, Hernández-Mena, Leonel
, Pacheco-Domínguez, Reyna Lizette
, Osuna-Laveaga, Daryl Rafael
in
acidity
/ anthropogenic activities
/ Arsenic
/ carcinogenicity
/ color
/ Drinking water
/ dry season
/ Geographic information systems
/ Groundwater
/ health effects assessments
/ Health risk assessment
/ Health risks
/ Heavy metals
/ human health
/ humans
/ ingestion
/ Mexico
/ multivariate analysis
/ Municipalities
/ Pollutants
/ Principal components analysis
/ risk
/ Statistical analysis
/ Surface water
/ turbidity
/ water
/ water pollution
/ Water quality
/ Water supply
/ water temperature
/ wet season
2021
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Do you wish to request the book?
GIS, Multivariate Statistics Analysis and Health Risk Assessment of Water Supply Quality for Human Use in Central Mexico
by
Ojeda-Castillo, Valeria
, Real-Olvera, Jorge del
, Bandala, Erick R.
, Díaz-Torres, José de Jesús
, López-Cervantes, Malaquías
, Morton-Bermea, Ofelia
, Panduro-Rivera, María Guadalupe
, Flores-Payán, Valentín
, Santacruz-Benítez, Rogelio
, Vallejo-Rodríguez, Ramiro
, Hernández-Mena, Leonel
, Pacheco-Domínguez, Reyna Lizette
, Osuna-Laveaga, Daryl Rafael
in
acidity
/ anthropogenic activities
/ Arsenic
/ carcinogenicity
/ color
/ Drinking water
/ dry season
/ Geographic information systems
/ Groundwater
/ health effects assessments
/ Health risk assessment
/ Health risks
/ Heavy metals
/ human health
/ humans
/ ingestion
/ Mexico
/ multivariate analysis
/ Municipalities
/ Pollutants
/ Principal components analysis
/ risk
/ Statistical analysis
/ Surface water
/ turbidity
/ water
/ water pollution
/ Water quality
/ Water supply
/ water temperature
/ wet season
2021
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GIS, Multivariate Statistics Analysis and Health Risk Assessment of Water Supply Quality for Human Use in Central Mexico
Journal Article
GIS, Multivariate Statistics Analysis and Health Risk Assessment of Water Supply Quality for Human Use in Central Mexico
2021
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Overview
The spatial assessments of water supply quality from wells, springs, and surface bodies were performed during the dry and rainy seasons in six municipalities in the eastern regions of Michoacán (Central Mexico). Different physicochemical parameters were used to determine the supplies’ Water Quality Index (WQI); all of the communities presented good quality. The analysis indicates that many water quality parameters were within limits set by the international standards, showing levels of “excellent and good quality” according to WQI, mainly during the dry season (except at San Pedro Jácuaro and Irimbo communities in the rainy season). However, some sites showed “poor quality” and “unsuitable drinking water” related to low pH levels (<5) and high levels of turbidity, color, Fe, Al, Mn, and arsenic. Multivariate statistical analysis techniques (Principal Component and Hierarchical Cluster) and geographic information system (GIS) identify potential sources of water pollution and estimate the geographic extension of parameters with negative effects on human health (mainly in communities without sampling). According to multivariate analysis, the Na+/K+ ratio and water temperature (22–42 °C) in various sites suggest that the WQI values were affected by geological and geothermal conditions and physical changes between seasons, but were not from anthropogenic activity. The GIS established predictions about the probable spatial distribution of arsenic levels, pH, temperature, acidity, and hardness in the study area, which provides valuable information on these parameters in the communities where the sampling was not carried out. The health risk assessment for dermal contact and ingestion showed that the noncancer risk level exceeded the recommended criteria (HQ > 1) in the rainy season for three target groups. At the same time, the carcinogenic risk (1 × 10−3) exceeded the acceptability criterion in the rainy season, which suggests that the As mainly represents a threat to the health of adults, children, and infants.
Publisher
MDPI AG
Subject
/ Arsenic
/ color
/ Geographic information systems
/ humans
/ Mexico
/ Principal components analysis
/ risk
/ water
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