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Found 10008 publications. Showing page 70 of 401:

Publication  
Year  
Category

Sources and fluxes of harmful metals. Molecular and integrative toxicology

Pacyna, J.P, Sundseth, K.; Pacyna, E.G.

2016

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 (

2022

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

2023

Source-receptor relationships for airborne measurements of CO2, CO and O3 above Siberia: a cluster-based approach.

Paris, J.-D.; Stohl, A.; Ciais, P.; Nédélec, P.; Belan, B.D.; Arshinov, M.Y.; Ramonet, M.

2010

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.

2009

Source-exposure relationships for airborne organic contaminants of emerging concern in Northern terrestrial and freshwater ecosystems

Breivik, K.; Evenset, A.; Möckel, C.; Herzke, D.; Eckhardt, S.; Bohlin-Nizzetto, P.; Krogseth, I. S.; Stohl, A.; Hung, H.; Wania, F.

2017

Source term determination with elastic plume bias correction

Tichý, Ondřej; Šmídl, Václav; Evangeliou, Nikolaos

2022

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

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

2024

Source Quantification of South Asian Black Carbon Aerosols with Isotopes and Modeling

Dasari, Sanjeev; Andersson, August; Stohl, Andreas; Evangeliou, Nikolaos; Bikkina, Srinivas; Holmstrand, Henry; Budhavant, Krishnakant; Salam, Abdus; Gustafsson, Örjan

Black carbon (BC) aerosols perturb climate and impoverish air quality/human health—affecting ∼1.5 billion people in South Asia. However, the lack of source-diagnostic observations of BC is hindering the evaluation of uncertain bottom-up emission inventories (EIs) and thereby also models/policies. Here, we present dual-isotope-based (Δ14C/δ13C) fingerprinting of wintertime BC at two receptor sites of the continental outflow. Our results show a remarkable similarity in contributions of biomass and fossil combustion, both from the site capturing the highly populated highly polluted Indo-Gangetic Plain footprint (IGP; Δ14C-fbiomass = 50 ± 3%) and the second site in the N. Indian Ocean representing a wider South Asian footprint (52 ± 6%). Yet, both sites reflect distinct δ13C-fingerprints, indicating a distinguishable contribution of C4-biomass burning from peninsular India (PI). Tailored-model-predicted season-averaged BC concentrations (700 ± 440 ng m–3) match observations (740 ± 250 ng m–3), however, unveiling a systematically increasing model-observation bias (+19% to −53%) through winter. Inclusion of BC from open burning alone does not reconcile predictions (fbiomass = 44 ± 8%) with observations. Direct source-segregated comparison reveals regional offsets in anthropogenic emission fluxes in EIs, overestimated fossil-BC in the IGP, and underestimated biomass-BC in PI, which contributes to the model-observation bias. This ground-truthing pinpoints uncertainties in BC emission sources, which benefit both climate/air-quality modeling and mitigation policies in South Asia.

2020

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.

2019

Source identification of short-lived air pollutants in the Arctic using statistical analysis of measurement data and particle dispersion model output.

Hirdman, D.; Sodemann, H.; Eckhardt, S.; Burkhart, J.F.; Jefferson, A.; Mefford, T.; Quinn, P.K.; Sharma, S.; Ström, J.; Stohl, A.

2010

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.

2011

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.

2011

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