To simulate NO2 and PM10 at very high resolution (100 m), a Land Use Regression model (LUR) was built using pollutant concentrations for 2010 from monitoring sites as dependent variable and several other parameters (independent variables) were defined within a Geographic Information System (GIS). The LUR model was developed using Random Forest regression techniques (Breiman, 2001) and it was used to predict evolution of concentrations of pollutants from 2010 to 2050, according to predicted changes in land use and population density data from LUISA.
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