Continuous impact of mining activities on soil heavy metals levels and human health

Tepanosyan, Gevorg; Sahakyan, Lilit; Belyaeva, Olga; Asmaryan, Shushanik; Saghatelyan, Armen

doi:10.1016/j.scitotenv.2018.05.211

Cited by 167 publications

(56 citation statements)

References 17 publications

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“…Assuming that the individual health risks of metals analyzed (THQi) within the same vegetable are cumulative, they can be summed and expressed as a multi-elemental risk hazard index or as total target hazard quotients (TTHQ), which are calculated with the Equation (2) [ 47 , 48 , 49 ]—see below: TTHQ = ∑ THQi; i = 1, 2, 3; n = the number of analyzed metals …”

Section: Methodsmentioning

confidence: 99%

“…The concentration-related data, the food ingestion rate, the average body weight, the average lifetime and the RfD-related data were used to calculate the estimated daily intake of metals, the target hazard quotients (THQs) and the multi-elemental risk hazard index TTHQ (also known as the Hazard index, HI) for all transition metals and vegetal foods examined [ 15 , 49 ]. Although both THQ and TTHQ are dimensionless indices, they are rather different in terms of projected outcomes.…”

Section: Methodsmentioning

confidence: 99%

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Health Risk Assessment of Dietary Heavy Metals Intake from Fruits and Vegetables Grown in Selected Old Mining Areas—A Case Study: The Banat Area of Southern Carpathians

Manea

Ienciu

Ștef

et al. 2020

IJERPH

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In this study, we conducted a noncarcinogenic risk assessment of consuming vegetables and fruits grown in two old mining areas from the Banat area of Southern Carpathians (Romania), Moldova Veche (M) and Rusca Montana (R) and in a nonpolluted reference area located near the village of Borlova (Ref). Concentrations of Fe, Mn, Zn, Cu, Ni, Cd and Pb in soils and commonly eaten vegetables and fruits were measured and used for calculating the weighted estimated daily intake of metals (WEDIM), the target hazard quotients (THQ) and the total target hazard quotients (TTHQ) for normal daily consumption in adults. Levels of certain metals in soils and plants from the R area (Pb) and the M area (Cu) were higher than those measured in the Ref area—and often exceeded normal or even alert-threshold levels. TTHQs for the R area (1.60; 6.03) and the M area (1.11; 2.54) were above one for leafy vegetables and root vegetables, respectively, suggesting a major risk of adverse health effects for diets, including these vegetal foodstuffs. Moreover, THQ and TTHQ indicated a higher population health risk for the R area than for the M area, with the Ref area being a safe zone.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Health Risk Assessment of Dietary Heavy Metals Intake from Fruits and Vegetables Grown in Selected Old Mining Areas—A Case Study: The Banat Area of Southern Carpathians

Manea

Ienciu

Ștef

et al. 2020

IJERPH

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show abstract

“…Moreover, heavy metals are difficult to be degraded or relieved of harmfulness through physical, chemical, or biological purification in natural environments [5], and can cause severe diseases, such as nervous disorders, visceral dysfunction, and cancers, through food chains [6,7]. Heavy metals in the dissolved phase are one of the most harmful substances that can directly affect the water quality of drinking water and irrigation water [8][9][10][11], and they are of greater toxicity than those in suspended and sedimentary phases [12][13][14]. In order to control water pollution and protect local water resources, it is of great significance to understand the spatial distribution, temporal variation, and sources of dissolved heavy metals, as well as the water quality and health risk level of water.…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Variation of Dissolved Heavy Metals in the Mun River, Northeast Thailand

Liu

Han

Liu

et al. 2019

Water

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River water samples between August 2017 (wet season) and March 2018 (dry season) from the Mun River Basin in northeast Thailand were collected and their dissolved heavy metals concentrations (Al, Mn, Fe, Cu, Zn, and Ba) were measured. Compared with international drinking water guidelines, Mn was the dominant pollutant in the dry season. The correlation analysis (CA) suggested that similar sources were shown in each element pair of Al-Fe, Mn-Zn, and Fe-Ba in both seasons. The principal component analysis (PCA) results showed that the dominant source of dissolved heavy metals was sedimentary inputs or colloid destabilization in the wet season, while anthropogenic inputs were the main sources in the dry season, such as agricultural runoff, industrial effluents, and domestic discharge. On the basis of water quality index (WQI), water at most sites in the wet and dry seasons can be categorized as excellent water, except for a few sites with substandard values. The river water posed no significant health risks according to the health risk assessment, but Mn, Fe, and Ba needed to be paid more attention due to the relatively high values. Al, Fe, and Ba were the main dissolved heavy metals flowing into the Mekong River, and Cu contributed to the background value in the Mekong river.

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“…As with the incidence, there was a heterogeneous decrease in mortality among regions, which could be associated with a shortage of healthcare staff, limited access to healthcare services, and limitations in the diagnosis and treatment options 9,17 , especially because nephrologists and treatment centers are concentrated in Lima 17,22 . Madre de Dios reported the greatest mortality rate due to AKI (Tables 2 and 3, and Figure 2), this could be related to the harmful effects of illegal mining activities in this region 23,24 .…”

Section: Discussionmentioning

confidence: 93%

National trends in age-standardized incidence and mortality rates of acute kidney injury in Peru

et al. 2020

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Introduction: Acute kidney injury (AKI) is a common disorder that causes high healthcare costs. There are limited epidemiological studies of this disorder in low- and middle-income countries. The aim of this study was to describe trends in the age-standardized incidence and mortality rates of AKI in Peru. Methods: We conducted an ecological study based on a secondary data sources of the basic cause of death from healthcare and death records obtained from establishments of the Ministry of Health of Peru for the period 2005-2016. The age-standardized incidence and mortality rates of AKI were described by region and trend effects were estimated by linear regression models. Results: During the period 2005-2016, 26,633 cases of AKI were reported nationwide. The age-standardized incidence rate of AKI per 100,000 people increased by 15.2%, from 10.5 (period 2005-2010) to 12.1 (period 2011-2016). During the period 2005-2016, 6,812 deaths due to AKI were reported, which represented 0.49% of all deaths reported for that period in Peru. The age-standardized mortality rate of AKI per 100,000 people decreased by 11.1%, from 2.7 (period 2005-2010) to 2.4 (period 2011-2016). The greatest incidence and mortality rates were observed in the age group older than 60 years. Conclusions: During the study period, incidence of AKI increased and mortality decreased, with heterogeneous variations among regions.

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Continuous impact of mining activities on soil heavy metals levels and human health

Cited by 167 publications

References 17 publications

Health Risk Assessment of Dietary Heavy Metals Intake from Fruits and Vegetables Grown in Selected Old Mining Areas—A Case Study: The Banat Area of Southern Carpathians

Health Risk Assessment of Dietary Heavy Metals Intake from Fruits and Vegetables Grown in Selected Old Mining Areas—A Case Study: The Banat Area of Southern Carpathians

Spatial and Temporal Variation of Dissolved Heavy Metals in the Mun River, Northeast Thailand

National trends in age-standardized incidence and mortality rates of acute kidney injury in Peru

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