Averaging time modeling of exposure simulation with application to the El Camino Real vehicle data.
J Expo Anal Environ Epidemiol
; 1(1): 109-21, 1991 Jan.
Article
em En
| MEDLINE
| ID: mdl-1726712
ABSTRACT
When profiles of activity patterns are used to generate time series of simulated exposure, one typically samples from exposure distributions which are microenvironment-specific to each activity. If the simulation time step is short, then independent sampling at each time step, ignoring autocorrelation, will result in aggregates with too little variability from one simulation to another. Autocorrelation can often be modeled with one or two extra parameters and then used in the simulation. Furthermore, one may substantially reduce computation by generating a single averaged exposure for each activity segment whose distribution depends in a simple way on the activity duration and the modeled autocorrelation. The process is illustrated using the El Camino Real commuting exposure study data of Ott, Switzer, and Willits.
Buscar no Google
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Emissões de Veículos
/
Simulação por Computador
/
Exposição Ambiental
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
J Expo Anal Environ Epidemiol
Assunto da revista:
EPIDEMIOLOGIA
/
SAUDE AMBIENTAL
Ano de publicação:
1991
Tipo de documento:
Article