Using a Sensitivity Analysis and Spatial Clustering to Determine Vulnerability to Potentially Toxic Elements in a Semiarid City in Northwest Mexico
Sustainability
; 14(17):10461, 2022.
Article
in English
| ProQuest Central | ID: covidwho-2024170
ABSTRACT
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.
Environmental Studies; hot spot analysis; Getis-Ord Gi*; potentially toxic elements; kriging; GIS; urban dust; Spatial analysis; Dust; Sensitivity analysis; Hot spots; Air pollution; Spatial distribution; Outdoor air quality; Climate change; Traffic congestion; Health risks; Clustering; Health risk assessment; Public health; Variables; Environmental health; Urban areas; Spatial data; Coronaviruses; Cities; Mexico
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Country/Region as subject:
Mexico
Language:
English
Journal:
Sustainability
Year:
2022
Document Type:
Article
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