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

Hinojosa-Baliño, Israel; Infante-Vázquez, Oscar; Vallejo, Maite

Abstract

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.

Citation

Hinojosa-Baliño, I., Infante-Vázquez, O., & Vallejo, M. (2019). Distribution of PM2.5 Air Pollution in Mexico City: Spatial Analysis with Land-Use Regression Model. Applied Sciences, 9(14), Article 2936. https://doi.org/10.3390/app9142936

• Journal Article Type: Article
• Acceptance Date: Jul 18, 2019
• Online Publication Date: Jul 23, 2019
• Publication Date: Jul 2, 2019
• Deposit Date: Aug 29, 2019
• Publicly Available Date: Aug 30, 2019
• Journal: Applied Sciences
• Electronic ISSN: 2076-3417
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 9
• Issue: 14
• Article Number: 2936
• DOI: https://doi.org/10.3390/app9142936
• Public URL: https://durham-repository.worktribe.com/output/1294962