Potentially toxic metals and metalloids in surface water intended for human consumption and other uses in the Mantaro River watershed, Peru

Custodio, María; Álvarez, Daniel; Cuadrado, Walter; Montalvo, Raúl; Ochoa, Salomé

doi:10.17221/152/2019-swr

Cited by 16 publications

(10 citation statements)

References 22 publications

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“…Cr>Mn>Ni>Zn>Cu>Pb, Cr>Pb>Zn>Cu>Mn>Ni, and Zn>Cr>Cu>Mn>Ni>Pb in all the groundwater and surface water sources, respectively. The results of present study were found in agreement with the previous studies conducted in mining areas of Hunan province, China (Gong et al 2014), in Dabaoshan of Guangdong province, China , in Palma, Spain (Rodellas et al 2014), in Brajrajnagar of Jharsuguda district, India (Sahoo and Khaosh 2020), in Taojian, China (Chen et al 2019), in Maracas at Port of Spain (Santana et al 2020), and in Mantaro, Peru (Custodio et al 2020), respectively as shown in (Table S3).…”

Section: Discussionsupporting

confidence: 92%

Contamination Level, Source Identification And Health Risk Assessment of Potentially Toxic Elements In Drinking Water Sources of Mining And Non-Mining Areas of Khyber Pakhtunkhwa, Pakistan

Bhatti

Ishtiaq

Khan

et al. 2021

Preprint

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Accelerated mining activities have increased water contamination with potentially toxic elements (PTEs) and their associated human health risk in developing countries. The current study investigated the distribution of PTEs, their potential sources and health risk assessment in both ground and surface water sources in mining and non–mining areas of Khyber Pakhtunkhwa, Pakistan. Water samples (n=150) were taken from selected sites and were analyzed for six PTEs (Ni, Cr, Zn, Cu, Pb and Mn). Among PTEs, Cr showed high mean concentration (497) μg L–1, followed by Zn (414) μg L–1 in mining area, while Zn showed lowest mean value (4.44) μg L–1 in non-mining areas. Elevated concentrations of Ni, Cr and moderate level of Pb in ground and surface water of Mohmand District exceeded the permissible limits set by WHO (2017). Multivariate statistical analyses showed that pollution sources of PTEs were mainly from mafic-ultramafic rocks, acid mine drainage, open dumping of mine-wastes and mine tailings. The hazard quotient (HQ) was highest for children relatively to adults, but not higher than the US-EPA limits. The hazard index (HI) for ingestions of all selected PTEs were lower than the threshold value (HIing <1), except Mohmand District which showed (HI >1) in mining areas through ingestion. Moreover, the carcinogenic risk (CR) values exceeded the threshold limits for Ni and Cr set by the US-EPA (1.0E−04 to 1.0E−06). In order to protect the drinking water sources of the study areas from more contamination, the management techniques and policy for mining operations need to be implemented.

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Section: Discussionsupporting

confidence: 92%

Contamination Level, Source Identification And Health Risk Assessment of Potentially Toxic Elements In Drinking Water Sources of Mining And Non-Mining Areas of Khyber Pakhtunkhwa, Pakistan

Bhatti

Ishtiaq

Khan

et al. 2021

Preprint

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“…In the Mantaro River, the main river in the basin, high concentrations of heavy metals and metalloids have been recorded that exceed the environmental quality standards for water in the Peruvian standard and the threshold values of WHO and US EPA. However, in this study the concentrations of these metallic contaminants are lower in most of the sectors evaluated than those registered by Custodio et al (2020) [30] in this same river basin in April 2019, where activities were regular.…”

Section: Analysis and Distribution Of Heavy Metals And Arsenic In Surface Watercontrasting

confidence: 74%

“…Table 1 shows the mean and standard deviation of heavy metals and arsenic recorded in surface water of the Mantaro River basin during 2020, compared to data recorded in 2019 [30]. The results from both years show similar behavior of the rivers as a function of their average concentration of the elements evaluated.…”

Section: Analysis and Distribution Of Heavy Metals And Arsenic In Surface Watermentioning

confidence: 86%

Surface Water Quality in the Mantaro River Watershed Assessed after the Cessation of Anthropogenic Activities Due to the COVID-19 Pandemic

Custodio¹,

Peñaloza²,

Alvarado³

et al. 2021

Pol. J. Environ. Stud.

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In late December 2019, the emerging disease COVID-19 was identified as a global pandemic. Countries around the world have implemented various types of blockades to stop this infection. These health measures have led to a significant reduction in air pollution. However, the impact of these measures on aquatic environments has been little analyzed. In this context, the water quality of rivers in the Mantaro River basin was evaluated using multivariate statistical methods and heavy metal contamination indices during the health crisis of the COVID-19 pandemic. Surface water samples were collected in triplicate from 15 sampling sectors at the end of the rainy season, between March and April. Concentrations of Cu, Fe, Pb, Zn and As were determined by the method of atomic absorption flame spectrophotometry. The average concentrations of heavy metals and arsenic in the rivers evaluated did not exceed the environmental quality standards for drinking water of the Peruvian, WHO and US EPA regulations, except for Pb, Fe and As in the Mantaro River and As in the Chia River. PCA presented a total variation percentage of 83.8%. The results showed a clear positive relationship between the five heavy metals and metalloids. The hierarchical cluster analysis according to Spearman's correlation generated a dendrogram where the five chemical elements were grouped in two statistically significant groups, one group conglomerating to Cu, Pb, Zn and Fe and the other group to As. PERMANOVA partition shows that the spatial effects of the sectors are strong and significant. The HPI revealed that 13.33% of the sampling sectors exceeded the critical contamination value (150). The C d revealed low degree of contamination (<1) in 86.67% of the sampling sectors

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“…Additional to the grey clustering, the r-Pearson linear correlation coefficient between each parameter and overall water quality index, determined by the clustering coefficient belonging to the first grey class, was obtained to achieve a better understanding of the dynamics behind water pollution and establishing predictive relationships. Though specific correlation significance intervals are mostly subjective and depend on the size of the data and the science branch where it is applied, in this study the intervals were the ones used by [13] where a strong absolute correlation is higher than 0.76; a moderate correlation is higher than 0.51, a weak correlation is higher than 0.26 and below that point correlation can be neglected.…”

Section: B Pearson Correlation Testmentioning

confidence: 99%

Applying Grey Clustering Method and Pearson Correlation to Assess Water Quality

Delgado¹,

Vidal²,

Jayme³

et al. 2022

IJETAE

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The Mantaro River travels through Junín, Ayacucho, and Huancavelica departments,in Peru, and receives not only domestic discharges from the population but also tailings fields and dumps containing lead, silver, copper, and zinc from mining companies. To be able to assess the water quality, the grey clustering method was applied, using Center-point Triangular Whitenization Weight Functions (CTWF) for this purpose. As well, Pearson correlation between parameters was used to understand the dynamics of pollution. In the watershed of the Mantaro river the results of the Monitoring of the Surface Water published in 2018 by the Mantaro Water Administrative Authority were compared to the Peruvian Environmental Quality Standards (ECA) Category 1, subcategory A parameters. The results obtained suggest that the main driver of pollution in the Mantaro river is not mining, but domestic waste in landfills and probably agriculture. Finally, this study shows responsible environmental management by mining companies, besides, could be helpful for regional and local authorities of Peru in making decisions to improve the management of the Mantaro river watershed and make the population aware of the sustainable use of water

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Potentially toxic metals and metalloids in surface water intended for human consumption and other uses in the Mantaro River watershed, Peru

Cited by 16 publications

References 22 publications

Contamination Level, Source Identification And Health Risk Assessment of Potentially Toxic Elements In Drinking Water Sources of Mining And Non-Mining Areas of Khyber Pakhtunkhwa, Pakistan

Contamination Level, Source Identification And Health Risk Assessment of Potentially Toxic Elements In Drinking Water Sources of Mining And Non-Mining Areas of Khyber Pakhtunkhwa, Pakistan

Surface Water Quality in the Mantaro River Watershed Assessed after the Cessation of Anthropogenic Activities Due to the COVID-19 Pandemic

Applying Grey Clustering Method and Pearson Correlation to Assess Water Quality

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