Behavior of the nitrogen oxides and ozone in two different air quality monitoring stations in Bogota City

Abstract

We investigate the spatial - temporal behavior of the atmospheric contamination in the city of Bogotá, with the aim of establishing forecasting models that make it possible to foresee extreme atmospheric contamination events. As a guideline for this work, we base our assessment on the temporal structure of the time series of nitrogen dioxide (NO2) and ozone (O3). The results obtained allowed us to identify autoregressive models that describe the O3 behavior at the station of the Universidad Nacional as an Arima(0,0,2)(2,0,1), and at the Station Merck as an Arima (1,0,0)(1,1,0), also for O3. Nevertheless the results of the analysis of mean square errors show that these models do not adjust to the series in a satisfactory way, which means that the influence of other variables has to be taken into account