Analysis of minute-by-minute exposure to fine particulates inside a car – A time-series modelling approach

摘要: In light of growing health concerns over short-duration exposure to pollution, this paper analyses fine particulates collected on a minute-by-minute basis inside car. A time-series modelling approach is adapted study the effects various interventions (speed, traffic conditions, in-vehicle environment, time-of-day, etc.) while controlling for problems autocorrelation. We also statistically detect and control peak-exposure levels attributed specific events such as following smoky vehicle. Univariate models in which only previous PM2.5 are used explain 75% variance. Multivariate show that vent position, air-conditioning status, en-route travel speed all significant factors explanation levels. addition, multivariate model performs better than univariate with lower unexplained variance residual variation.