title: Western European land use regression incorporating satellite- and ground-based measurements of NO2 and PM10.
abstract: Land use regression (LUR) models typically investigate within-urban variability in air pollution. Recent improvements in data quality and availability, including satellite-derived pollutant measurements, support fine-scale LUR modeling for larger areas. Here, we describe NO2 and PM10 LUR models for Western Europe (years: 2005-2007) based on >1500 EuroAirnet monitoring sites covering background, industrial, and traffic environments. Predictor variables include land use characteristics, population density, and length of major and minor roads in zones from 0.1 km to 10 km, altitude, and distance to sea. We explore models with and without satellite-based NO2 and PM2.5 as predictor variables, and we compare two available land cover data sets (global; European). Model performance (adjusted R(2)) is 0.48-0.58 for NO2 and 0.22-0.50 for PM10. Inclusion of satellite data improved model performance (adjusted R(2)) by, on average, 0.05 for NO2 and 0.11 for PM10. Models were applied on a 100 m grid across Western Europe; to support future research, these data sets are publicly available.
authors.affiliation: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute , 4051, Basel, Switzerland.
authors.forename: Danielle
authors.initials: D
authors.lastname: Vienneau
authors.forename: Kees
authors.initials: K
authors.lastname: de Hoogh
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Bechle
authors.forename: Rob
authors.initials: R
authors.lastname: Beelen
authors.forename: Aaron
authors.initials: A
authors.lastname: van Donkelaar
authors.forename: Randall V
authors.initials: RV
authors.lastname: Martin
authors.forename: Dylan B
authors.initials: DB
authors.lastname: Millet
authors.forename: Gerard
authors.initials: G
authors.lastname: Hoek
authors.forename: Julian D
authors.initials: JD
authors.lastname: Marshall
mesh_terms: D000393:Air Pollutants / Q000032:analysis; D000397:Air Pollution / Q000032:analysis*; D000531:Altitude; D002947:Cities; D004784:Environmental Monitoring / Q000379:methods; D005060:Europe; D008962:Models, Theoretical; D009585:Nitrogen Dioxide / Q000032:analysis*; D052638:Particulate Matter / Q000032:analysis; D063809:Satellite Imagery
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter; D009585:Nitrogen Dioxide