Local fractions – a method for the calculation of local source contributions to air pollution, illustrated by examples using the EMEP MSC-W model (rv4_33)
Climate Modelling and Air Pollution Division, Research and Development Department, Norwegian Meteorological
Institute (MET Norway), P.O. 43 Blindern, 0313 Oslo, Norway
Department of Chemistry, UiT – The Arctic University of Norway, 9037 Tromsø, Norway
Bruce Rolstad Denby
Climate Modelling and Air Pollution Division, Research and Development Department, Norwegian Meteorological
Institute (MET Norway), P.O. 43 Blindern, 0313 Oslo, Norway
Michael Gauss
Climate Modelling and Air Pollution Division, Research and Development Department, Norwegian Meteorological
Institute (MET Norway), P.O. 43 Blindern, 0313 Oslo, Norway
Viewed
Total article views: 2,835 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,109
679
47
2,835
48
50
HTML: 2,109
PDF: 679
XML: 47
Total: 2,835
BibTeX: 48
EndNote: 50
Views and downloads (calculated since 11 Nov 2019)
Cumulative views and downloads
(calculated since 11 Nov 2019)
Total article views: 1,544 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,029
478
37
1,544
37
39
HTML: 1,029
PDF: 478
XML: 37
Total: 1,544
BibTeX: 37
EndNote: 39
Views and downloads (calculated since 30 Mar 2020)
Cumulative views and downloads
(calculated since 30 Mar 2020)
Total article views: 1,291 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,080
201
10
1,291
11
11
HTML: 1,080
PDF: 201
XML: 10
Total: 1,291
BibTeX: 11
EndNote: 11
Views and downloads (calculated since 11 Nov 2019)
Cumulative views and downloads
(calculated since 11 Nov 2019)
Viewed (geographical distribution)
Total article views: 2,835 (including HTML, PDF, and XML)
Thereof 2,558 with geography defined
and 277 with unknown origin.
Total article views: 1,544 (including HTML, PDF, and XML)
Thereof 1,399 with geography defined
and 145 with unknown origin.
Total article views: 1,291 (including HTML, PDF, and XML)
Thereof 1,159 with geography defined
and 132 with unknown origin.
We present a new method for individually quantifying the contributions from different sources to local air pollution. The method can be used to distinguish the sources of local air pollution for any position in one single model simulation and thus to provide detailed maps of the origin of the pollutants. Hence, it can be used for time-critical operational services by providing scientific information as input for local policy decisions on air pollution abatement.
We present a new method for individually quantifying the contributions from different sources to...
