UI - Concentration of PM10 (LUISA Platform REF2014)

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Dataset information

Country of origin
Updated
2015.12.18 00:00
Created
2015.12.18
Available languages
English
Keywords
FUA, air quality, pollution, EU Reference Scenario 2014, LUISA, PM10, Urban indicator, particulate matter, LUR models
Quality scoring
290

Dataset description

Land Use Regression mode (LUR), were used to simulate PM10 concentrations at very high resolution (100m) built using pollutant concentrations for 2010 from monitoring sites as dependent variable, and several parameters (independent variables) defined within a Geographic Information System (GIS). The LUR model was developed using Random Forest regression techniques (Breiman, 2001) and was used to predict evolution of concentrations of pollutants from 2010 to 2050, according to predicted changes in land use and population density data taken from the LUISA outputs (Baranzelli et al, 2015). The modelling did not consider for the prediction of future concentrations specific measures or policies implemented in order to reduce emissions.
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