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Western European land use regression incorporating satellite- and ground-based measurements of NO2 and PM10

Vienneau, Danielle and de Hoogh, Kees and Bechle, Matthew J. and Beelen, Rob and van Donkelaar, Aaron and Martin, Randall V. and Millet, Dylan B. and Hoek, Gerard and Marshall, Julian D.. (2013) Western European land use regression incorporating satellite- and ground-based measurements of NO2 and PM10. Environmental Science and Technology, Vol. 47, H. 23. pp. 13555-13564.

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Official URL: http://edoc.unibas.ch/dok/A6212242

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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.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Environmental Exposures and Health > Physical Hazards and Health (Röösli)
UniBasel Contributors:Vienneau, Danielle
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:American Chemical Society
ISSN:0013-936X
e-ISSN:1520-5851
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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Last Modified:17 Dec 2018 15:25
Deposited On:18 Jul 2014 09:10

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