2024
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. PMID: 39479408, PMCID: PMC11523490, 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
2014
A systematic review of the physical health impacts from non-occupational exposure to wildfire smoke
Liu JC, Pereira G, Uhl SA, Bravo MA, Bell ML. A systematic review of the physical health impacts from non-occupational exposure to wildfire smoke. Environmental Research 2014, 136: 120-132. PMID: 25460628, PMCID: PMC4262561, DOI: 10.1016/j.envres.2014.10.015.Peer-Reviewed Original ResearchConceptsFire eventsWildfire smokePollution levelsClimate changeThreat of wildfirePeer-reviewed scientific studiesNon-fire periodsSatellite remote sensingHuman healthU.S. EPA regulationsHealth impactsGeographic scalesWildfiresRemote sensingState of scienceMost studiesDaily pollution levelsAir pollution levelsImportant public health implicationsLevels of PM10Pollutant monitorsNon-occupational exposureMitigation policiesAir pollutionPublic health impact