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Fant 9759 publikasjoner. Viser side 182 av 391:

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År  
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Intercomparison of SO2 camera systems for imaging volcanic gas plumes.

Kern, C.; Lübcke, P.; Bobrowski, N.; Campion, R.; Mori, T.; Smekens, J.-F.; Stebel, K.; Tamburello, G.; Burton, M.; Platt, U.; Prata, F.

2015

Intercomparison of urban scale air quality models.

Jonkers, S.; Meijer, E.W.; Zandveld, P.Y.J.; Denby, B.R.; Douros, I.; Moussiopoulos, N.; Singh, V.; Sokhi, R.S.; Karppinene, A.; Kangas, L.; Kukkonen, J.

2014

Intercomparison study of atmospheric mercury models: 2. Modelling results vs. long-term observations and comparison of country deposition budgets.

Ryaboshapko, A.; Bullock Jr.; O.R.; Christensen, J.; Cohen, M.; Dastoor, A.; Ilyin, I.; Petersen, G.; Syrakov, D.; Travnikov, O.; Artz, R.S.; Davignon, D.; Draxler, R.R.; Munthe, J.; Pacyna, J.

2007

Intercomparison study of numerical models for long-range atmospheric transport of mercury. Stage III. Comparison of modelling results with long-term observations and comparison of calculated items of regional balances. EMEP/MSC-E Technical Report, 1/2005

Ryaboshapko, A.; Artz, R.; Bullock, R.; Christensen, J.; Cohen, M.; Draxler, R.; Ilyin, I.; Munthe, J.; Pacyna, J.; Petersen, G.; Syrakov, D.; Travnikov, O.

2005

Intercorrelations of Chlorinated Paraffins, Dechloranes, and Legacy Persistent Organic Pollutants in 10 Species of Marine Mammals from Norway, in Light of Dietary Niche

Andvik, Clare Margaret; Jourdain, Eve Marie; Borgen, Anders; Lyche, Jan Ludvig; Karoliussen, Richard; Haug, Tore; Borgå, Katrine

Short-, medium-, and long-chain chlorinated paraffins (CPs) (SCCPs, MCCPs, and LCCPs) and dechloranes are chemicals of emerging concern; however, little is known of their bioaccumulative potential compared to legacy contaminants in marine mammals. Here, we analyzed SCCPs, MCCPs, LCCPs, 7 dechloranes, 4 emerging brominated flame retardants, and 64 legacy contaminants, including polychlorinated biphenyls (PCBs), in the blubber of 46 individual marine mammals, representing 10 species, from Norway. Dietary niche was modeled based on stable isotopes of nitrogen and carbon in the skin/muscle to assess the contaminant accumulation in relation to diet. SCCPs and dechlorane-602 were strongly positively correlated with legacy contaminants and highest in killer (Orcinus orca) and sperm (Physeter macrocephalus) whales (median SCCPs: 160 ng/g lw; 230 ng/g lw and median dechlorane-602: 3.8 ng/g lw; 2.0 ng/g lw, respectively). In contrast, MCCPs and LCCPs were only weakly correlated to recalcitrant legacy contaminants and were highest in common minke whales (Balaenoptera acutorostrata; median MCCPs: 480 ng/g lw and LCCPs: 240 ng/g lw). The total contaminant load in all species was dominated by PCBs and legacy chlorinated pesticides (63–98%), and MCCPs dominated the total CP load (42–68%, except 11% in the long-finned pilot whale Globicephala melas). Surprisingly, we found no relation between contaminant concentrations and dietary niche, suggesting that other large species differences may be masking effects of diet such as lifespan or biotransformation and elimination capacities. CP and dechlorane concentrations were higher than in other marine mammals from the (sub)Arctic, and they were present in a killer whale neonate, indicating bioaccumulative properties and a potential for maternal transfer in these predominantly unregulated chemicals.

2024

Intercorrelations of short-, medium- and long-chain chlorinated paraffins, dechloranes and legacy POPs in 10 species of marine mammals from Norway, in light of dietary niche

Andvik, Clare Margaret; Jourdain, Eve Marie; Borgen, Anders; Lyche, Jan Ludvig; Karoliussen, Richard; Haug, Tore; Borgå, Katrine

2025

Interim air quality maps of EEA member and cooperating countries for 2022. PM10, O3, and NO2 spatial estimates and evaluation of PM2.5 interim mapping.

Horálek, Jan; Vlasakova, Leona; Schreiberova, Marketa; Schneider, Philipp; Benesova, Nina

This report presents European interim air quality maps for 2022, which are based on the non-validated up-to-date (UTD) measurement data and the CAMS Ensemble Forecast modelling results, together with other supplementary data. It contains maps of PM10 annual average, ozone indicator SOMO35 and NO2 annual average. Next to this, the report evaluates the PM2.5 annual mean interim mapping.

ETC/HE

2023

Interim air quality maps of EEA member and cooperating countries for 2023. PM, O3, and NO2 spatial estimates

Horálek, Jan; Vlasakova, Leona; Schreiberova, Marketa; Schneider, Philipp; Benesova, Nina; Vlcek, Ondrej

The report presents interim 2023 maps for PM10 annual average, PM2.5 annual average, O3 indicator peak season average of maximum daily 8-hour means, and NO2 annual average. The maps have been produced based on the 2023 non-validated E2a (UTD) data of the AQ e-reporting database, the CAMS Ensemble Forecast modelling data and other supplementary data. Together with the concentration maps, the inter-annual differences between 5-year average 2018-2022 and 2023 are presented (using the 2018-2022 regular and the 2023 interim maps), as well as basic exposure estimates based on the interim maps.

ETC/HE

2024

Interim Annual Assessment Report for 2015. European air quality in 2015. ECMWF Copernicus Report

Tarrasón, L.; Hamer, P.; Guerreiro, C.; Melaux, F.; Rouïl, L.

2016

Interim Annual Assessment Report for 2017. European air quality in 2017.

Tarrasón, Leonor; Hamer, Paul David; Meleux, Frederik; Rouil, Laurence

Copernicus Atmosphere Monitoring Service

2018

Interim Annual Assessment Report. European air quality in 2016. ECMWF Copernicus Report

Hamer, P.; Tarrasón, L.; Melaux, F.; Rouïl, L.

2016

Interim European air quality maps for 2020. PM10, NO2 and ozone spatial estimates based on non-validated UTD data.

Horálek, Jan; Schreiberova, Marketa; Vlasakova, Leona; Hamer, Paul David; Schneider, Philipp; Markova, Jana

The report provides interim 2020 maps for PM10 annual average, NO2 annual average and the ozone indicator SOMO35. The maps have been produced based on non-validated Up-To-Date data reported to the AQ e-reporting database (data flow E2a), the CAMS Ensemble Forecast modelling data and other supplementary data including air quality data reported to EMEP. In addition to concentration maps, the inter-annual differences between the years 2019 and 2020 are presented (using the 2019 regular and the 2020 interim maps), as well as European exposure estimates based on the interim maps. The contribution of lockdown measures connected with the Covid-19 pandemic on the change of air pollutant concentrations during the exceptional year 2020 is briefly discussed. The decrease in road transport, aviation and international shipping intensity during the lockdown resulted in a reduction of the NOx emission, mainly in large cities and urbanized areas. Compared to 2019, a general decrease in NO2 annual average concentrations is shown for 2020, as well as a decrease in values of the ozone indicator SOMO35, apart from areas with a steep NO2 decrease. Due to the chemical processes, the decrease in NOX resulted in an ozone increase in these areas. The contribution of lockdown measures on the change of PM10 concentrations is quite complex. On the one hand, there was a decrease in emissions of suspended particles and their precursors due to decrease in transport. On the other hand, higher intensity of residential heating likely led to higher emissions of both suspended particles and their precursors.

ETC/ATNI

2021

Interim European air quality maps for 2021. PM10, NO2 and ozone spatial estimates based on non-validated UTD data.

Horálek, Jan; Vlasakova, Leona; Schreiberova, Marketa; Schneider, Philipp; Damaskova, Dasa

This report presents European interim air quality maps for 2021, which are based on the non-validated up-to-date (UTD) measurement data and the CAMS Ensemble Forecast modelling results, together with other supplementary data. It contains maps of PM10 and NO2 annual averages and ozone indicator SOMO35.

ETC/HE

2023

2004

2004

Interlaboratory comparison of size measurements on nanoparticles using nanoparticle tracking analysis (NTA).

Hole, P.; Sillence, K.; Hannell, C.; Maguire, C.M.; Roesslein, M.; Suarez, G.; Capracotta, S.; Magdolenova, Z.; Horev-Azaria, L.; Dybowska, A.; Cooke, L.; Haase, A.; Contal, S.; Manø, S.; Vennemann, A.; Sauvain, J.-J.; Staunton, K.C.; Anguissola, S.; Luch, A.; Dusinska, M.; Korenstein, R.; Gutleb, A.C.; Wiemann, M.; Prina-Mello, A.; Riediker, M.; Wick, P.

2013

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