This review provides a community's perspective on air quality research focusing mainly on
developments over the past decade. The article provides perspectives on current and future …

Numerical models that combine weather forecasting and atmospheric chemistry are here
referred to as chemical weather forecasting models. Eighteen operational chemical weather …

The AIRUSE-LIFE+ project aims at characterizing similarities and heterogeneities in
particulate matter (PM) sources and contributions in urban areas from southern Europe …

In this paper we propose a methodology consisting of specific computational intelligence
methods, ie principal component analysis and artificial neural networks, in order to inter …

Normally, the temperature decreases with altitude, allowing air pollutants to rise and
disperse. During inversion episodes, warmer air at higher altitude traps air pollutants at the …

Forecasting models based on stepwise multiple linear regression (MLR) have been
developed for Athens and Helsinki. The predictor variables were the hourly concentrations …

The present study investigates persistent inversions dynamics during a whole winter in
Alpine valleys of the area of Grenoble (French Alps), and their relationship to PM 10 air …

Abstract The Sichuan Basin (SB) is one of the four most severely polluted regions in China
in terms of air quality, and the frequent generation of temperature inversions is a key factor …

Source apportionment of air pollution due to particulate matter with an aerodynamic
diameter< 10 μm (PM10) was investigated in Central Eastern European urban areas. A …

The scope of the present study is to assess the influence of meteorology on different
diameter particles (PM10, PM2. 5, PM2. 5–10) during a 53months long experimental …