Table 1. Characteristics of models used to estimate air pollution exposures.
Project | Areas | Air pollution sampling description | Pollutants | R 2 | RMSE | Associated publications |
---|---|---|---|---|---|---|
ESCAPE | GINI/LISA South | 20 sites (PM)/40 (NO2) in Munich, Augsburg and small nearby towns sampled for three two-week intervals between 10.2008 and 11.2009 | NO2 | 0.86 | 5.5 | (Beelen et al., 2013; Cyrys et al., 2012) |
PM2.5 mass | 0.78 | 1.0 | (Eeftens et al., 2012a; Eeftens et al., 2012b) | |||
PM2.5 absorbance | 0.91 | 0.2 | ||||
GINI/LISA North | 20 sites (PM)/40 (NO2) in Dortmund, Duisburg, Essen and smaller towns sampled for three two-week intervals between 10.2008 and 10.2009 | NO2 | 0.89 | 4.3 | (Beelen et al., 2013; Cyrys et al., 2012) | |
PM2.5 mass | 0.88 | 0.9 | (Eeftens et al., 2012a; Eeftens et al., 2012b) | |||
PM2.5 absorbance | 0.97 | 0.1 | ||||
TRAPCA | LISA East | 30 sites sampled for four two-week intervals between 04.2004 and 03.2005 | NO2 | 0.81 | 2.7 | - |
PM2.5 mass | 0.55 | 0.1 | - | |||
APMoSPHERE | GINI/LISA South and North, and LISA East |
Air pollution data for 2001 obtained from Airbase (air quality database from routine air pollution monitoring covering 15 European member states; resolution 1 × 1 km) | Ozone | 0.70 | 7.7 | (Beelen et al., 2009) |
Notes.
- R2
- Model explained variance
- RMSE
- Root-mean standard errors