DISTRIBUCIÓN ESPACIAL DE Fe Li, Pb, Mn, V, Y Zn EN SUELOS URBANOS DE MORELIA, MICHOACÁN, MÉXICO

Delgado, Carmen; Alcántara, Isabel Israde; Bautista, Francisco; Gogichaishvili, A.; Márquez, Ciro; Cejudo, Rubén; Morales, Juan; González, I.

doi:10.20937/rica.2018.34.03.06

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…A variogram is a tool that allows one to analyze the spatial behavior of a variable over a defined area, obtaining, as a result, an experimental variogram that reflects the maximum distance and the way in which one point influences another point at different distances [53]. The geostatistical data were analyzed using the program GS+ (Gamma Design Software, 2006), followed by an exploratory data analysis and a spatial autocorrelation process as suggested by Cortés et al (2017) and Delgado et al (2018) [54,55]. Finally, the variogram calculations were carried out using Equation (1):…”

Section: Pte Exposure Mapmentioning

confidence: 99%

Using a Sensitivity Analysis and Spatial Clustering to Determine Vulnerability to Potentially Toxic Elements in a Semiarid City in Northwest Mexico

et al. 2022

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The Getis-Ord Gi* statistic clustering technique was used to create a hot spot exposure map using 14 potentially toxic elements (PTEs) found in urban dust samples in a semiarid city in northwest Mexico. The dust distribution and deposition in this city are influenced by the seasonal wind and rain from the North American Monsoon. The spatial clustering patterns of hot spots were used in combination with a sensitivity analysis to determine which variables most influenced the PTE hot spot exposure base map. The hot spots areas (%) were used as indicators of environmental vulnerability, and a final integrated map was selected to represent the highest vulnerability of PTEs with a 99% level of confidence. The results of the sensitivity analysis indicated that the flood zones and pervious and impervious zones were the most sensitive variables due to their weight in the spatial distribution. The hot spot areas were reduced by 60.4% by not considering these variables. The hot spot analysis resulted in an effective tool that allowed the combination of different spatial layers with specific characteristics to determine areas that present greater vulnerability to the distribution of PTEs, with impacts on public and environmental health.

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Section: Pte Exposure Mapmentioning

confidence: 99%

Using a Sensitivity Analysis and Spatial Clustering to Determine Vulnerability to Potentially Toxic Elements in a Semiarid City in Northwest Mexico

et al. 2022

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Biomonitoring of airborne trace elements using transplanted lichens around a paper industry (Morelia, Mexico)

Rangel-Osornio

Reyes

Cuevas-Villanueva

et al. 2022

Environ Monit Assess

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Heavy metals in urban dust inside and outside homes during the Covid-19 pandemic in Mérida, Yucatán, México

Andrade,

Aguilera,

Gallegos

et al. 2023

Air Qual Atmos Health

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The COVID-19 pandemic caused a decrease in outdoor activities but an increase in indoor ones. Does this situation cause changes in pollution patterns? The objective of this study was to compare heavy metal contamination in indoor and outdoor dust in homes in the city of Mérida, Yucatán. Dust was collected in 51 homes on the weekends of May 2020 during the COVID-19 pandemic when there was a lockdown. Three hundred ninety-six samples were obtained (203 indoors and 193 outdoors on the sidewalk). Heavy metal concentrations were measured in triplicate with a portable XRF Genius 7000 spectrometer from Skyray Instruments. The contamination factor was calculated using a local (decile 1) and a global background value. To identify whether there were differences in indoor and outdoor heavy metal concentrations, mixed linear models were used, and the statistical inference was made using hypothesis tests. The risk to human health was evaluated using the USEPA methodology. Using decile one as background, the contamination factor's median showed moderate contamination for Lead (Pb), Manganese (Mn), Iron (Fe), Calcium (Ca), Strontium (Sr), and Yttrium (Y) indoors and outdoors. Using world concentrations as background, higher Ca, Sr, and Y concentrations were found outdoors, while Copper (Cu), Pb, Titanium (Ti), and Zinc (Zn) concentrations were higher indoors. Pb represented a risk of developing health problems for children inside homes. These studies help design public policies to reduce urban emissions and pollution, implement dust and risk management programs, and conduct citizen cleaning campaigns.

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DISTRIBUCIÓN ESPACIAL DE Fe Li, Pb, Mn, V, Y Zn EN SUELOS URBANOS DE MORELIA, MICHOACÁN, MÉXICO

Cited by 5 publications

References 17 publications

Using a Sensitivity Analysis and Spatial Clustering to Determine Vulnerability to Potentially Toxic Elements in a Semiarid City in Northwest Mexico

Using a Sensitivity Analysis and Spatial Clustering to Determine Vulnerability to Potentially Toxic Elements in a Semiarid City in Northwest Mexico

Biomonitoring of airborne trace elements using transplanted lichens around a paper industry (Morelia, Mexico)

Heavy metals in urban dust inside and outside homes during the Covid-19 pandemic in Mérida, Yucatán, México

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