Manganese and lead in dust fall accumulation in elementary schools near a ferromanganese alloy plant

Menezes-Filho, José A.; Souza, Karine O. Fraga de; Rodrigues, Juliana Lima Gomes; Santos, Nathália R. dos; Bandeira, Matheus de Jesus; Koin, Ng Lai; Oliveira, Sérgio Soares do Prado; Godoy, A.J.; Mergler, Donna

doi:10.1016/j.envres.2016.03.041

Cited by 30 publications

(21 citation statements)

References 34 publications

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“…Results of that study showed manganese and lead values at 1582 μgMn/m 2 /30 days and 43.2 μgPb/m2/30 days, respectively. Maps revealed that the factors of wind direction and construction site of schools influenced people's contact with dust containing manganese and lead (18). In this study, the Kriging technique was used for interpolation.…”

Section: Discussionmentioning

confidence: 99%

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Investigation of chemical characteristics and spatiotemporal quantitative changes of dust fall using GIS and RS technologies; a case study, Yazd city, central plateau of Iran

Azimzadeh

Fallahzadeh

Ghaneian

et al. 2017

Environ Health Eng Manag

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Background: The phenomenon of dust is a serious environmental problem in dry and semi dry regions. It has a destructive effect for the residents of such regions. Over two-thirds of Iran is in areas of dry and semi-dry climate conditions. Methods: In this research, dust fall measurements were taken in 41 stations across Yazd city using a marble dust collector (MDCO) located in different parts of the city. Next, the chemical characteristics of dust were determined using the XRF method. Finally, levels of dust fall across the 4 seasons of the year and status of the constituent elements of dust were determined through ArcGIS software and the Kriging technique. The Raster calculator function was used to make determinations of the effects of dust fall at each of the stations over the course of the year. Remote sensing system, along with maps taken from Landsat and the band combination technique were processed using ENVI software to extract vegetation density and building density maps of the studied region. Results: Results showed that spring had the highest level of dust fall with a value of 200 g/cm 2 . In total, in 109 km 2 of the studied region had average dust fall of 110 g/m 2 that contributed to 12 057 tons of dust over Yazd city in 2015. The constituent elements of the dust fall according to decreasing amounts were as follows: Si>Ca>Al>C>Mg>Fe>K>Na>S>Ti>Cl>P>Mn>Sr>Zn. Conclusion: These results indicate accuracy of the Kriging technique for application in dust zoning. The factors of vegetation and green space were determined as effective on adsorbing dust. Increased building density and height of buildings also contributed to development of dust fall.

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Section: Discussionmentioning

confidence: 99%

“…It can be attributed to the roughness of the glass globes (17). Use of polyethylene Petri dishes as a passive sampler has been used as a standard method in several studies (18). Geostatistics is widely used to determine variation and spatial distribution of pollutants (19).…”

Section: Introductionmentioning

confidence: 99%

Investigation of chemical characteristics and spatiotemporal quantitative changes of dust fall using GIS and RS technologies; a case study, Yazd city, central plateau of Iran

Azimzadeh

Fallahzadeh

Ghaneian

et al. 2017

Environ Health Eng Manag

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“…Although they did not stratify their results for age, they found dust accumulation (μg/m 2 /30 day) being the only significant predictor for blood Pb, while no medium predicted blood Mn. More recently, Menezes-Filho et al (2016) measured Mn and Pb dust fall accumulation on Petri dishes in 15 elementary schools, located between 1.25 and 6.48 km from a Mn alloy production plant in the municipality of Simões Filho, Bahia, Brazil. Their sampling method was similar to the one adopted by Gulson et al (2014), but they found that the interior school environments, located within a 2-km radius from the plant, showed loading rates on average 190 times higher than the Mn levels measured in the day-care centers in Sydney, while Pb loading rates were not associated with distance from the plant and were lower than the rates observed in the same day-care centers in Sydney.…”

Section: Manganese In the Environmentmentioning

confidence: 99%

Manganese and Developmental Neurotoxicity

Lucchini

Placidi

Cagna

et al. 2017

Advances in Neurobiology

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Manganese (Mn) is an essential metal that plays a fundamental role for brain development and functioning. Environmental exposure to Mn may lead to accumulation in the basal ganglia and development of Parkinson-like disorders. The most recent research is focusing on early-life overexposure to Mn and the potential vulnerability of younger individuals to Mn toxicity also in regard to cognitive and executive functions through the involvement of the frontal cortex. Neurodevelopmental disturbances are increasing in the society, and understanding the potential role of environmental determinants is a key for prevention. Therefore, assessing the environmental sources of Mn exposure and the mechanisms of developmental neurotoxicity and defining appropriate biomarkers of exposure and early functional alterations represent key issues to improve and address preventive strategies. These themes will be reviewed in this chapter.

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“…Estos resultados servirán como punto de referencia para evaluar variaciones futuras en el contenido de Mn en la Ciudad de México. S cientific concern about the contamination due to manganese (Mn) has been raised because of its increasing presence in the environment, related to anthropogenic sources such as mining and smelting, 1 Mn alloy production, 2,3 welding, dry alkaline battery manufacturing, Mn salt production, ceramics, glass, aluminum cans and electronic components manufacture, 4 agrochemicals containing Mn such as fungicides and fertilizers, 5 as well as vehicle emissions. 6 The phasing out of lead compounds from gasoline has led to the use of other compounds that have antiknock characteristics, such as the methylcyclopentadienyl manganese tricarbonyl (MMT).…”

Section: Introductionmentioning

confidence: 99%

“…All these measurements turn up important information. 2,5 In order to obtain the first indicator of pollution extent and distribution in Mexico City's urban environment, we chose to examine Mn concentration and load in the city's street dust, as well as to identify the most contaminated areas.…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of manganese concentration and load in street dust in Mexico City

et al. 2020

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Objective. To obtain a first indication of the distribution and extent of manganese (Mn) contamination in Mexico City. Mn concentration and load in street dust were analyzed in order to reveal the most contaminated areas. Materials and methods. 482 samples of street dust were analyzed through inductively coupled plasma-optical emission spectroscopy. The contamination factor (CF), the geoaccumulation index (Igeo) and the spatial interpolations of the kriging indicator were calculated. Results. A slight influence of anthropogenic activities is detected on the Mn content of street dust. The highest levels of pollution by concentration (Igeo=uncontaminated to moderately contaminated) are grouped towards the city’s north (industrial) and center (commercial and high traffic) areas. The areas with the highest Mn load were located towards the east and northwest areas (Igeo=moderately contaminated). Conclusions. These findings will serve as a baseline to assess future variations in Mn content in Mexico City’s environment.

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Manganese and lead in dust fall accumulation in elementary schools near a ferromanganese alloy plant

Cited by 30 publications

References 34 publications

Investigation of chemical characteristics and spatiotemporal quantitative changes of dust fall using GIS and RS technologies; a case study, Yazd city, central plateau of Iran

Investigation of chemical characteristics and spatiotemporal quantitative changes of dust fall using GIS and RS technologies; a case study, Yazd city, central plateau of Iran

Manganese and Developmental Neurotoxicity

Spatial distribution of manganese concentration and load in street dust in Mexico City

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