title: [Estimate of the spatial variability of exposure to airborne pollutants in urban areas].
abstract: Several Italian and international studies investigated the short-term effects of air pollution in different geographical areas, while knowledge on the association between long-term exposure to pollutants and mortality due to natural causes and cardio are fully comprehensive at present. The spatial variability of pollutants within urban areas was analyzed with different modelling techniques. The aim of the present work is an introduction to the Land Use Regression (LUR) model, a promising approach to the estimation and representation of intraurban air pollution for epidemiological studies. Starting from the experiences available in the literature, a methodological framework of the procedure is presented, highlighting the advantages and limitations, especially in relation to the applicability of these models to exposure assessment of populations living in urban areas.
authors.affiliation: Agenzia regionale prevenzione e ambiente dell'Emilia-Romagna, direzione tecnica, Centro tematico regionale ambiente e salute. aranzi@arpa.emr.it
authors.forename: Andrea
authors.initials: A
authors.lastname: Ranzi
mesh_terms: D000392:Air Movements; D000393:Air Pollutants / Q000032:analysis*; D004781:Environmental Exposure; D004784:Environmental Monitoring / Q000379:methods / Q000706:statistics & numerical data; D040362:Geographic Information Systems; D006801:Humans; D008962:Models, Theoretical; D052638:Particulate Matter / Q000032:analysis; D014504:Urban Health
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter