Publications

Sources and levels of pharmaceuticals and personal care products. Powerpoint presentation. NILU F

Mariussen, E.; Kallenborn, R.

Sources and fate of atmospheric microplastics revealed from inverse and dispersion modelling: From global emissions to deposition

Evangeliou, Nikolaos; Tichý, Ondřej; Eckhardt, Sabine; Zwaaftink, Christine Groot; Brahney, Janice

We combine observations from Western USA and inverse modelling to constrain global atmospheric emissions of microplastics (MPs) and microfibers (MFs). The latter are used further to model their global atmospheric dynamics. Global annual MP emissions were calculated as 9.6 ± 3.6 Tg and MF emissions as 6.5 ± 2.9 Tg. Global average monthly MP concentrations were 47 ng m-3 and 33 ng m-3 for MFs, at maximum. The largest deposition of agricultural MPs occurred close to the world’s largest agricultural regions. Road MPs mostly deposited in the East Coast of USA, Central Europe, and Southeastern Asia; MPs resuspended with mineral dust near Sahara and Middle East. Only 1.8% of the emitted mass of oceanic MPs was transferred to land, and 1.4% of land MPs to ocean; the rest were deposited in the same environment. Previous studies reported that 0.74–1.9 Tg y-1 of land-based atmospheric MPs/MFs (

Sources and atmospheric dispersion of microplastics in the Norwegian territory

Gossmann, Isabel; Herzke, Dorte; Held, Andreas; Schulz, Janina; Nikiforov, Vladimir; Georgi, Christoph; Evangeliou, Nikolaos; Eckhardt, Sabine; Gerdts, Gunnar; Wurl, Oliver; Scholz-Böttcher, Barbara

Source-receptor matrix calculation for deposited mass with the Lagrangian particle dispersion model FLEXPART v10.2 in backward mode.

Eckhardt, S.; Cassiani, M.; Evangeliou, N.; Sollum, E.; Pisso, I.; Stohl, A.

Source-receptor and inverse modelling to quantify urban PARTiculate emissions (SRIMPART). TemaNord, 2009:552

Denby, B.; Karl, M.; Laupsa, H.; Johansson, C.; Pohjola, M.; Karppinen, A.; Kukkonen, J.; Ketzel, M.; Wåhlin, P.

Source-apportionment and model evaluation: experiences with the EMEP SOA model.

Simpson, D.; Yttri, K.E.

Source term identification in atmospheric modelling via sparse optimization.

Adam, L.; Branda, M.; Hamburger, T.

Source term determination with elastic plume bias correction

Tichý, Ondřej; Šmídl, Václav; Evangeliou, Nikolaos

Source regions of fire emission observed during aircraft campaigns and in-situ networks

Eckhardt, Sabine; Evangeliou, Nikolaos; Sollum, Espen; Stebel, Kerstin

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.

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 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. F.; Hamburger, T.; Arnold, S. R.; Schwarzenboeck, A.; Borrmann, S.; Law, K. S.