An air pollution model for use in epidemiological studies: evaluation with measured levels of nitrogen dioxide and benzene.
J Expo Anal Environ Epidemiol
; 10(1): 4-14, 2000.
Article
en En
| MEDLINE
| ID: mdl-10703843
The aim of the study was to evaluate the predictions derived from the Danish Operational Street Pollution Model (OSPM) when the input data are obtained by simple methods that could be used in large-scale epidemiological studies. The model calculations were thus compared with passive sampler measurements of nitrogen dioxide and benzene at 103 street locations in Copenhagen, Denmark, and at 101 locations in rural areas. Data on traffic and street configuration were collected by means of a simple registration scheme in which forms were filled out by local municipal authorities. Meteorological data were derived from routine measurements at Copenhagen airport, and data on background air pollution were based on a simple empirical model. Differences in air pollution levels between rural areas and Copenhagen and differences in nitrogen dioxide concentrations at various locations in Copenhagen were well reproduced by the OSPM. The correlation coefficients (r) between the measured and the predicted half-year average concentrations of nitrogen dioxide in Copenhagen were between 0.75 and 0.80 for various degrees of precision of the input data for the model. The results indicate that the OSPM used with the presented methods for generation of input data might be useful in assessing long-term exposure to air pollutants in epidemiological studies.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Benceno
/
Contaminación del Aire
/
Contaminación Ambiental
/
Modelos Teóricos
/
Dióxido de Nitrógeno
Tipo de estudio:
Observational_studies
/
Prognostic_studies
Aspecto:
Determinantes_sociais_saude
Límite:
Humans
País/Región como asunto:
Europa
Idioma:
En
Revista:
J Expo Anal Environ Epidemiol
Asunto de la revista:
EPIDEMIOLOGIA
/
SAUDE AMBIENTAL
Año:
2000
Tipo del documento:
Article
Pais de publicación:
Reino Unido