Publikasjoner

Source apportionment of circum-Arctic atmospheric black carbon from isotopes and modeling

Winiger, P.; Barrett, T. E.; Sheesley, R. J.; Huang, L.; Sharma, S.; Barrie, L. A.; Yttri, Karl Espen; Evangeliou, Nikolaos; Eckhardt, Sabine; Stohl, Andreas; Klimont, Z.; Heyes, C.; Semiletov, I. P.; Dudarev, O. V.; Charkin, A.; Shakhova, N.; Holmstrand, H.; Andersson, A.; Gustafsson, Ö.

Source apportionment of particulate matter (PM2,5) using dispersion and receptor modelling - a case study for Oslo.

Laupsa, H.; Denby, B.; Larssen, S.; Schaug, J.

Source apportionment of particulate matter (PM2.5) in an urban area using dispersion, receptor and inverse modelling.

Laupsa, H.; Denby, B.; Larssen, S.; Schaug, J.

Source apportionment of particulate matter (PM2.5) using dispersion and receptor modelling - a case study for Oslo. Powerpoint presentation. NILU F

Laupsa, H.; Denby, B.; Larssen, S.; Schaug, J.

Source apportionment of PM2,5 at Abu Dhabi sites. NILU PP

Hak, C.; Lopez-Aparicio, S.

Source apportionment of PM2.5 in urban areas using multiple linear regression as an inverse modelling technique.

Denby, B.

Source apportionment of the summer time carbonaceous aerosol at Nordic rural background sites.

Yttri, K.E.; Simpson, D.; Nøjgaard, J.K.; Kristensen, K.; Genberg, J.; Stenström, K.; Swietlicki, E.; Hillamo, R.; Aurela, M.; Bauer, H.; Offenberg, J.H.; Jaoui, M.; Dye, C.; Eckhardt, S.; Burkhart, J.F.; Stohl, A.; Glasius, M.

Source apportionment to support air quality management practices. A fitness-for-purpose guide (V 4.0).

Clappier, A.; Thunis, P.; Pirovano, G.; Riffault, V.; Gilardoni, S.; Pisoni, E.; Guerreiro, Cristina; Monteiro, A.; Dupont, H; Waersted, E.; Hellebust, S.; Stocker, J.; Eriksson, A.; Angyal, A.; Bonafe, G.; Montanari, F.; Matejovica, J.; Bartzis, J.; Gianelle, V.

Information on the origin of pollution is an essential element of air quality management that helps identifying measures to control air pollution. In this document, we review the most widely used source-apportionment (SA) methods for air quality management. The focus is on particulate matter but examples are provided for NO2 as well. Using simple theoretical examples, we explain the differences between these methods and the circumstances where they give different results and thus possibly different conclusions for air quality management. These differences are a consequence of the assumptions that underpin each methodology and determine/limit their range of applicability. We show that ignoring these underlying assumptions is a risk for efficient/successful air quality management when the methods are used outside their scope or range of applicability.

Publications Office for the European Union

Source Attribution of VOCs in the Canadian Oil Sands using Hierarchical Clustering

Makar, Paul; Liggio, John; Leithead, Amy; Wentzell, Jeremy; Stroud, Craig; Soares, Joana; Akingunola, Ayodeji; Zhang, Junhua; Moran, Michael; Li, Shao-Meng

Source contribution. Air pollution in the Haifa region. NILU OR

Tønnesen, D.

Source identification and airborne chemical characterisation of aerosol pollution from long-range transport over Greenland during POLARCAT summer campaign 2008.

Schmale, J.; Schneider, J.; Ancellet, G.; Quennehen, B.; Stohl, A.; Sodemann, H.; Burkhart, J.; Hamburger, T.; Arnold, S.R.; Schwarzenböck, A.; Borrmann, S.; Law, K.S.

Source identification, ship campaigns, snow/ice BC as seen in FLEXPARTv10

Evangeliou, Nikolaos; Eckhardt, Sabine; Stohl, Andreas; Popovicheva, Olga; Sevchenko, V. P.; Eleftheriadis, K.; Sitnikov, N.; Kopeikin, V.M.; Lisitzin, A. P.; Novigatsky, A.N.; Pankratova, N.V.; Starodymova, Dina P.; Kalogridis, Athina C.

Source region identification of short-lived pollutants in the Arctic troposphere, and their seasonal and long-term evolvement, using LPDM output and measurement data.

Hirdman, D.; Burkhart, J.F.; Eckhardt, S.; Sodemann, H.; Stohl, A.