Fine particles and coarse particles : Concentration relationships relevant to epidemiologic studies.
Fine particles and coarse particles are defined in terms of the modal structure of particle size distributions typically observed in the atmosphere.
Differences between the various modes are discussed.
The fractions of fine and coarse particles collected in specific size ranges, such as total suspended particulate matter (TSP), PM10, PM2.5, and PM (10-2.5), are shown.
Correlations of 24-h concentrations of PM2.5, PM10, and PM (10-2.5) at the same site show that, in Philadelphia and St.
Louis, PM2.5 is highly correlated with PM10 but poorly correlated with PM (10-2.5).
Among sites distributed across these urban areas, the site-to-site correlations of 24-h PM concentrations are high for PM2.5 but not for PM (10-2.5).
This indicates that a PM measurement at a central monitor can serve as a better indicator of the community-wide concentration of fine particles than of coarse particles.
The fraction of ambient outdoor particles found suspended indoors is greater for fine particles than for coarse particles because of the difference in indoor lifetimes.
Consideration of these relationships leads to the hypothesis that the statistical associations found between daily PM indicators and health outcomes may be the result of variations in the fine particle component of the atmospheric aerosol, not of variations in the coarse component. (...)
Mots-clés Pascal : Pennsylvanie, Etats Unis, Amérique du Nord, Amérique, Missouri, Zone urbaine, Pollution air, Pollution intérieur, Particule en suspension, Particule grosse, Particule fine, Aérosol, Distribution dimension particule, Inventaire source pollution, Teneur, Variation spatiale, Variation temporelle, Indicateur, Epidémiologie
Mots-clés Pascal anglais : Pennsylvania, United States, North America, America, Missouri, Urban area, Air pollution, Indoor pollution, Suspended particle, Coarse particle, Fine particle, Aerosols, Particle size distribution, Pollution source inventory, Content, Spatial variation, Time variation, Indicator, Epidemiology
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0152757
Code Inist : 001D16C02. Création : 21/07/1998.