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Open AccessArticle

Distribution of PM2.5 Air Pollution in Mexico City: Spatial Analysis with Land-Use Regression Model

1
Antropo SIG CIESAS, Calle Juárez No. 87, Tlalpan 14000, Ciudad de México, Mexico
2
Department of Electromechanical Instrumentation, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano No. 1 Col. Sección XVI, Tlalpan 14080, Ciudad de México, Mexico
3
Department of Sociomedical Research, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano No. 1 Col. Sección XVI, Tlalpan 14080, Ciudad de México, Mexico
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(14), 2936; https://doi.org/10.3390/app9142936
Received: 9 June 2019 / Revised: 8 July 2019 / Accepted: 18 July 2019 / Published: 23 July 2019
(This article belongs to the Special Issue Air Pollution)
In this study, the spatial distribution of PM2.5 air pollution in Mexico City from 37 personal exposures was modeled. Meteorological, demographic, geographic, and social data were also included. Geographic information systems (GIS), spatial analysis, and Land-Use Regression (LUR) were used to generate the final predictive model and the spatial distribution map which revealed two areas with very high concentrations (up to 109.3 µg/m3) and two more with lower concentrations (between 72 to 86.5 µg/m3) (p < 0.05). These results illustrate an overview trend of PM2.5 in relation to human activity during the studied periods in Mexico City and show a general approach to understanding the spatial variability of PM2.5. View Full-Text
Keywords: exposure assessment; particulate matter; air pollution; spatial analysis exposure assessment; particulate matter; air pollution; spatial analysis
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MDPI and ACS Style

Hinojosa-Baliño, I.; Infante-Vázquez, O.; Vallejo, M. Distribution of PM2.5 Air Pollution in Mexico City: Spatial Analysis with Land-Use Regression Model. Appl. Sci. 2019, 9, 2936.

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