Articles | Volume 15, issue 3
https://doi.org/10.5194/acp-15-1539-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-1539-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Modelling street level PM10 concentrations across Europe: source apportionment and possible futures
G. Kiesewetter
CORRESPONDING AUTHOR
International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
J. Borken-Kleefeld
International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
W. Schöpp
International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
P. Thunis
Joint Research Centre, Institute for Environment and Sustainability (JRC-IES), Ispra, Italy
B. Bessagnet
National Institute for Environment and Risks (INERIS), Paris, France
E. Terrenoire
National Institute for Environment and Risks (INERIS), Paris, France
H. Fagerli
Norwegian Meteorological Institute, Oslo, Norway
A. Nyiri
Norwegian Meteorological Institute, Oslo, Norway
M. Amann
International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
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- How does a social practice perspective add to the development of policy instruments to reduce consumption-based CO2 emissions? A case study of Austria M. Kammerlander et al. 10.1080/14693062.2020.1727830
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- Why is the city's responsibility for its air pollution often underestimated? A focus on PM<sub>2.5</sub> P. Thunis et al. 10.5194/acp-21-18195-2021
- Meteorology-driven variability of air pollution (PM<sub>1</sub>) revealed with explainable machine learning R. Stirnberg et al. 10.5194/acp-21-3919-2021
- Background Influence of PM2.5 in Dallas–Fort Worth Area and Recommendations for Source Apportionment A. Shapero et al. 10.3390/air1040019
- Characterization of haze episodes and factors contributing to their formation using a panel model X. Zhang et al. 10.1016/j.chemosphere.2016.01.090
- Perspectives on using cost-benefit analysis to set environmental targets – a compilation and discussion of arguments informed by the process leading to the 2016 EU air pollution emission targets S. Åström 10.1016/j.eiar.2022.106941
- Cost-effective reductions of PM2.5 concentrations and exposure in Italy A. Ciucci et al. 10.1016/j.atmosenv.2016.05.049
- Urban environment as a factor modulating metals deposition in the respiratory track and associated cancer risk K. Widziewicz & W. Rogula-Kozłowska 10.1016/j.apr.2017.11.005
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Short summary
We describe the multi-stage approach applied in the GAINS model to assess compliance with PM10 limit values at more than 1850 individual air quality monitoring stations in Europe. We analyse source contributions to ambient concentrations and the implications of future policy choices on air quality for 2030. While current legislation does not solve compliance issues, problems are largely eliminated by EU-wide adoption of the best available emission control technology.
We describe the multi-stage approach applied in the GAINS model to assess compliance with PM10...
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