VAR Model of PM2.5, Weather and Traffic in Los Angeles-Long Beach Area

The Los Angeles Long Beach area has been the largest air polluter in LA regions. How to decrease the air pollution concentrations becomes a hot topic recently. A vector autoregressive model (VAR) was applied to modeling the time series of monthly maximum particulate matter (PM) 2.5 concentration in Los Angeles Long Beach area. This paper explored the association among the current month PM2.5 concentrations and traffic and the meteorological covariates including wind speeds, temperatures, soil temperatures, dew points, for all the three datasets for LA Long Beach, 2001-2007, the VAR model appears to be supported by the datasets. This paper also provide parameter estimation, diagnostic checking procedures to model. Diagnostic tests have been applied to different VAR (p) models.