Meteorological normalization of NO2 concentrations in the Province of Bolzano (Italian Alps)

Abstract

Pollutant concentrations in the atmosphere are controlled not only by emissions, but also by meteorological processes. As a consequence, adverse atmospheric conditions may hinder the effects of policies intended to improve air quality through reduction of emissions. In particular, low ventilation conditions and temperature inversions may significantly inhibit pollutant transport and mixing, determining high concentrations close to the ground. In order to disentangle the contribution of weather conditions on observed pollutant concentrations, meteorological normalization techniques can be applied. In this study, a normalization procedure based on a random forest predictive model is applied to 8-year–long series of nitrogen dioxide (NO2) concentrations measured at five air quality stations in the Province of Bolzano (Italian Alps). The normalization is performed on daily–averages of NO2 concentrations, related to a dataset composed of time variables and meteorological data from seven weather stations and one temperature profiler. The strong dependence of observed NO2 concentrations on atmospheric variables (i.e. air temperature, atmospheric stability and wind speed) measured at the valley floor justifies the application of a normalization procedure. The resulting normalized time series of NO2 concentrations, instead, clearly display changes in correspondence of roadworks or other measures capable of modifying the emission regime, and allow to address the reliability of the applied procedure.