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Western European Land Use Regression Incorporating Satellite- and Ground-Based Measurements of NO2 and PM10
Open accessAbstract
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.
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Cited by
van Donkelaar, A., Martin, R. V., Brauer, M., & Boys, B. L. (2015) · Environmental Health Perspectives · doi:10.1289/ehp.1408646 · Cited by 894
Self-citationWest, J. J., Cohen, A., Dentener, F., Brunekreef, B., Zhu, T., Armstrong, B., Bell, M. L., Brauer, M., Carmichael, G., Costa, D. L., et al. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.5b03827 · Cited by 390
Self-citationDi, Q., Amini, H., Shi, L., Kloog, I., Silvern, R., Kelly, J., Sabath, M. B., Choirat, C., Koutrakis, P., Lyapustin, A., et al. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.9b03358 · Cited by 298
Outdoor air pollution, green space, and cancer incidence in Saxony: a semi-individual cohort study
Datzmann, T., Markevych, I., Trautmann, F., Heinrich, J., Schmitt, J., & Tesch, F. (2018) · BMC Public Health · doi:10.1186/s12889-018-5615-2 · Cited by 141
Metadata
- Authors
- Vienneau, D., de Hoogh, K., Bechle, M. J., Beelen, R., van Donkelaar, A., Martin, R. V., Millet, D. B., Hoek, G., & Marshall, J. D.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-11-11
- Volume
- 47
- Issue
- 23
- Pages
- 13555-13564
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2154589423
- Cited by
- 199
- References
- 0
- FWCI
- 8.98
- Type
- journal article
- Language
- en
- Open access
- green
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- Vienneau, D., de Hoogh, K., Bechle, M. J., Beelen, R., van Donkelaar, A., Martin, R. V., Millet, D. B., Hoek, G., & Marshall, J. D. (2013). Western European Land Use Regression Incorporating Satellite- and Ground-Based Measurements of NO2 and PM10. Environmental Science & Technology. https://doi.org/10.1021/es403089q
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