Generalised additive modelling of air pollution, traffic volume and meteorology: Fid-Bau Portal

Generalised additive modelling of air pollution, traffic volume and meteorology

Aldrin, Magne / Haff, Ingrid Hobæk

AbstractWe present a general model where the logarithm of hourly concentration of an air pollutant is modelled as a sum of non-linear functions of traffic volume and several meteorological variables. The model can be estimated within the framework of generalised additive models.Although the model is non-linear, it is simple and easy to interpret. It quantifies how meteorological conditions and traffic volume influence the level of air pollution. A measure of relative importance of each predictor variable is presented.Separate models are estimated for the concentration of ${PM}_{10}$ , ${PM}_{2.5}$ , the difference ${PM}_{10}$ – ${PM}_{2.5}$ , ${NO}_{2}$ and ${NO}_{x}$ at four different locations in Oslo, based on hourly data in the period 2001–2003. We obtain a reasonably good fit, in particular for the largest particles, ${PM}_{10}$ and ${PM}_{10}$ – ${PM}_{2.5}$ , and for ${NO}_{x}$ . The most important predictor variables are related to traffic volume and wind. Further, relative humidity has a clear effect on the PM variables, but not on the NO variables. Other predictor variables, such as temperature, precipitation and snow cover on the ground are of some importance for one or more of the pollutants, but their effects are less pronounced.