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Fant 9887 publikasjoner. Viser side 321 av 396:

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

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

2024

Source term determination with elastic plume bias correction

Tichý, Ondřej; Šmídl, Václav; Evangeliou, Nikolaos

Elsevier

2022

Source term estimation of multi‐specie atmospheric release of radiation from gamma dose rates

Tichy, Ondrej; Šmídl, Václav; Hofman, Radek; Evangeliou, Nikolaos

John Wiley & Sons

2018

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-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

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

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 (

Elsevier

2022

Sources and fluxes of harmful metals. Molecular and integrative toxicology

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

2016

Sources and long-range transport of atmospheric microplastics in the Northern Atlantic Ocean

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

2023

Sources and mixing state of size-resolved elemental carbon particles in a European megacity: Paris.

Healy, R. M.; Sciare, J.; Poulain, L.; Kamili, K.; Merkel, M.; Müller, T.; Wiedensohler, A.; Eckhardt, S.; Stohl, A.; Sarda-Estève, R.; McGillicuddy, E.; O'Connor, I. P.; Sodeau, J. R.; Wenger, J. C.

2012

Sources and Seasonal Variations of Per- and Polyfluoroalkyl Substances (PFAS) in Surface Snow in the Arctic

Hartz, William Frederik; Björnsdotter, Maria; Yeung, Leo W. Y.; Humby, Jack D.; Eckhardt, Sabine; Evangeliou, Nikolaos; Ericson Jogsten, Ingrid; Kärrman, Anna; Kallenborn, Roland

Per- and polyfluoroalkyl substances (PFAS) are persistent anthropogenic contaminants, some of which are toxic and bioaccumulative. Perfluoroalkyl carboxylic acids (PFCAs) and perfluoroalkyl sulfonic acids (PFSAs) can form during the atmospheric degradation of precursors such as fluorotelomer alcohols (FTOHs), N-alkylated perfluoroalkane sulfonamides (FASAs), and hydrofluorocarbons (HFCs). Since PFCAs and PFSAs will readily undergo wet deposition, snow and ice cores are useful for studying PFAS in the Arctic atmosphere. In this study, 36 PFAS were detected in surface snow around the Arctic island of Spitsbergen during January–August 2019 (i.e., 24 h darkness to 24 h daylight), indicating widespread and chemically diverse contamination, including at remote high elevation sites. Local sources meant some PFAS had concentrations in snow up to 54 times higher in Longyearbyen, compared to remote locations. At a remote high elevation ice cap, where PFAS input was from long-range atmospheric processes, the median deposition fluxes of C2–C11 PFCAs, PFOS and HFPO–DA (GenX) were 7.6–71 times higher during 24 h daylight. These PFAS all positively correlated with solar flux. Together this suggests seasonal light is important to enable photochemistry for their atmospheric formation and subsequent deposition in the Arctic. This study provides the first evidence for the possible atmospheric formation of PFOS and GenX from precursors.

2024

Sources and Seasonal Variations of Per- and Polyfluoroalkyl Substances (PFAS) in the Arctic: a Snow and Ice Core Perspective

Hartz, William Frederik; Björnsdotter, Maria; Yeung, Leo W. Y.; Hodson, A.; Thomas, E.; Humby, Jack D.; Eckhardt, Sabine; Evangeliou, Nikolaos; Jogsten, Ingrid Ericson; Kärrman, Anna; Kallenborn, Roland

2024

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