Facing the air pollution agenda for the 21st century. US-Dutch symposium. .
This paper presents an overview of the ozone human exposure and health risk analyses developed under sponsorship of the U.S. Environmental Protection Agency (EPA).
These analyses are being used in the current review of the national ambient air quality standards (NAAQS) for ozone.
The analyses consist of three principal steps :
(1) estimating short-term ozone exposure for particular populations (exposure model) ;
(2) estimating population response to exposures or concentrations (exposure-response or concentration-response models) ;
and (3) integrating concentrations or exposure with concentration-response or exposure-response models to produce overall risk estimates (risk model).
The exposure model, called the probabilistic NAAQS exposure model for ozone (pNEM/O3), incorporates the following factors :
hourly ambient ozone concentrations ;
spatial distribution of concentrations ;
ventilation state of individuals at time of exposure ;
and movement of people through various microenvironments (e.g., outdoors, indoors, inside a vehicle) of varying air quality.
Exposure estimates are represented by probability distributions.
Exposure-response relationships have been developed for several respiratory symptom and lung function health effects, based on the results of controlled human exposure studies.
These relationships also are probabilistic and reflect uncertainties associated with sample size and variability of response among subjects. (...)
Mots-clés Pascal : Ozone, Méthode étude, Pollution air, Toxicité, Homme, Organisme réglementation, Protection environnement, Etats Unis, Amérique du Nord, Amérique, Qualité air, Norme, Relation dose réponse, Modèle, Evaluation, Risque, Pollution intérieur, Epidémiologie, Admission hôpital
Mots-clés Pascal anglais : Ozone, Investigation method, Air pollution, Toxicity, Human, Regulatory institution, Environmental protection, United States, North America, America, Air quality, Standards, Dose activity relation, Models, Evaluation, Risk, Indoor pollution, Epidemiology, Hospital admission
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 99-0325218
Code Inist : 002B03M02. Création : 16/11/1999.