Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 11
Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5725-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-5725-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 11
Methods for assessment of models
 | 
23 Nov 2020
Methods for assessment of models |  | 23 Nov 2020

Prioritising the sources of pollution in European cities: do air quality modelling applications provide consistent responses?

Bart Degraeuwe, Enrico Pisoni, and Philippe Thunis

Viewed

Total article views: 2,183 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,469 606 108 2,183 147 109 195
  • HTML: 1,469
  • PDF: 606
  • XML: 108
  • Total: 2,183
  • Supplement: 147
  • BibTeX: 109
  • EndNote: 195
Views and downloads (calculated since 25 May 2020)
Cumulative views and downloads (calculated since 25 May 2020)

Viewed (geographical distribution)

Total article views: 2,183 (including HTML, PDF, and XML) Thereof 1,924 with geography defined and 259 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 19 Nov 2025
Download
Short summary
To make decisions on how to improve air quality, it is useful to identify the main sources of pollution for an area of interest. Often these sources of pollution are identified with complex models that, even if accurate, are time consuming and complex. In this work we use another approach, simplified models, to accomplish the same task. The results, computed with two different set of simplified models, show the main sources of pollution for selected cities, and the associated uncertainties.
Read more
Share