Exposure to particulate matter and ozone, locations of regulatory monitors, and sociodemographic disparities in the city of Rio de Janeiro: Based on local air pollution estimates generated from machine learning models
Kim H, Son J, Junger W, Bell M. Exposure to particulate matter and ozone, locations of regulatory monitors, and sociodemographic disparities in the city of Rio de Janeiro: Based on local air pollution estimates generated from machine learning models. Atmospheric Environment 2024, 322: 120374. DOI: 10.1016/j.atmosenv.2024.120374.Peer-Reviewed Original ResearchIQR increaseMonitoring stationsAir pollutionO3 levelsNational air quality standardsLong-term exposure to O3Daily standardExposure to particulate matterRegulatory monitoringElevated levels of air pollutionLevels of air pollutionDaily PM2.5 levelsAir quality standardsPercentage of residentsAir pollution estimatesGround-based monitoring stationsLand use informationSocial development indexSatellite remote sensingSociodemographic factorsPM2.5 levelsInterquartile rangeLevels of O3Long-term exposureParticulate matter