Spatial-temporal prediction of ambient nitrogen dioxide and ozone levels over Italy using a Random Forest model for population exposure assessment
Camillo Silibello, Giuseppe Carlino, Massimo Stafoggia, Claudio Gariazzo, Sandro Finardi, Nicola Pepe, Paola Radice, Francesco Forastiere, Giovanni Viegi
Topics & Concepts
Random forestEnvironmental scienceAir quality indexNitrogen dioxidePollutantPopulationImage resolutionTemporal resolutionCMAQMeteorologyComputer scienceGeographyMachine learningEnvironmental healthPhysicsArtificial intelligenceChemistryQuantum mechanicsOrganic chemistryMedicineAir Quality and Health ImpactsAir Quality Monitoring and ForecastingAtmospheric chemistry and aerosols