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Validation of SMILES HCl profiles over a wide range from the stratosphere to the lower thermosphere

Nara, Seidai; Sato, Tomohiro O.; Yamada, Takayoshi; Fujinawa, Tamaki; Kuribayashi, Kota; Manabe, Takeshi; Froidevaux, Lucien; Livesey, Nathaniel J.; Walker, Kaley A.; Xu, Jian; Schreier, Franz; Orsolini, Yvan J.; Limpasuvan, Varavut; Kuno, Nario; Kasai, Yasuko

2020

The urban dispersion model EPISODE v10.0 – Part 1: An Eulerian and sub-grid-scale air quality model and its application in Nordic winter conditions

Hamer, Paul David; Walker, Sam-Erik; Sousa Santos, Gabriela; Vogt, Matthias; Vo, Dam Thanh; Lopez-Aparicio, Susana; Schneider, Philipp; Ramacher, Martin O. P.; Karl, Matthias

2020

Regionalized environmental impacts of construction machinery

Ebrahimi, Babak; Wallbaum, Holger; Jakobsen, Pål Drevland; Booto, Gaylord Kabongo

PURPOSE:
This study aims to establish a regionalized environmental impact assessment of construction machinery equipped with diesel engines certified by the European emission standard Stage V, and operated in cold climatic zones in Europe.
METHOD:
The study quantifies potential environmental impacts associated with construction machinery over the entire lifecycle, from extraction of materials to the end-of-life. For the operation phase, a meso-level emission accounting method is applied to quantify tailpipe emissions for certain subcategories of construction machinery. This is achieved by determining the operational efficiency of each machine in terms of effective hours. The quantified emission data are then adjusted based on engine deterioration models to estimate the rate of increase in emissions throughout the lifetime of each machine. Finally, the CML impact assessment method is applied to inventory data to quantify potential environmental impacts.
RESULTS:
The study shows that tailpipe emissions, which largely depend on an engine’s fuel consumption, had the largest contribution to environmental impacts in most impact categories. At the same time, there was a positive correlation between the operation weight and the impacts of the machinery. Also, machinery with similar operation weight had relatively similar impact patterns due to similar driving factors and dependencies. In addition, network, sensitivity, and uncertainty analyses were performed to quantify the source of impacts and validate the robustness of the study. Results of the sensitivity analysis showed that the responsiveness of the studied systems is very sensitive to changes in the amount of fuel consumption. In addition, the uncertainty results showed that the domain of uncertainty increased as the operation weight subcategory of machinery increased.
CONCLUSION:
This study extends previous work on the life cycle assessment (LCA) of construction machinery, and the methodology developed provides a basis for future extension and improvement in this field. The use of effective hours as the unit of operational efficiency helps to resolve uncertainties linked to lifetime and annual operation hours. Also, the obtained results can be of use for decision support and for assessing the impacts of transition from fossil fuels to alternative fuel types.

2020

Trends in atmospheric CO2 and CH4 in Norway and Svalbard

Platt, Stephen Matthew; Lunder, Chris Rene; Hermansen, Ove; Myhre, Cathrine Lund

2020

Poly- and perfluoroalkyl substances (PFASs) as local Arctic pollutants: Svalbard as case study.

Kallenborn, Roland; Langberg, Håkon Austad; Breedveld, Gijs D.; Hale, Sarah; Skaar, Jøran Solnes

2020

Wind estimates in the mesosphere - lower thermosphere retrieved from infrasound data

Vorobeva, Ekaterina; Näsholm, Sven Peter; Espy, Patrick Joseph; Orsolini, Yvan; Hibbins, Robert

2020

More than 50,000 tonnes of microplastics generated by road traffic end up in the ocean

Evangeliou, Nikolaos (intervjuobjekt); Puiu, Tibi (journalist)

2020

The influence of residential wood combustion on the concentration of PM2.5 in four Nordic cities

Kukkonen, J.; Lopez-Aparicio, Susana; Segersson, D.; Geels, C; Kangas, Leena; Kauhaniemi, M; Maragkidou, Androniki; Jensen, A.; Assmuth, Timo; Karppinen, A; Sofiev, M; Hellén, Heidi; Riikonen, K.; Nikmo, Juha; Kousa, A.; Niemi, J. V.; Karvosenoja, N.; Sundvor, Ingrid; Sousa Santos, Gabriela; Im, U; Christensen, J. H.; Nielsen, O. K.; Plejdrup, M. S.; Nøjgaard, J.K.; Omstedt, G; Andersson, C.; Forsberg, B.; Brandt, J.

2020

A schematic sampling protocol for contaminant monitoring in raptors

Espín, Silvia; Andevski, Jovan; Duke, Guy; Eulaers, Igor; Gomez-Ramirez, Pilar; Hallgrimsson, Gunnar Thor; Helander, Björn; Herzke, Dorte; Jaspers, Veerle; Krone, Oliver; Lourenco, Rui; Maria-Mojica, Pedro; Martínez-López, Emma; Mateo, Rafael; Movalli, Paola; Sanchez-Virosta, Pablo; Shore, Richard F.; Sonne, Christian; van den Brink, Nico W.; van Hattum, B.; Vrezec, Al; Wernham, Chris; García-Fernández, Antonio J.

Springer

2020

Generation of testable adverse outcome pathways (AOPs) for nanomaterial human hazard assessment

Murugadoss, Sivakumar; Vincovik Vrcek, Ivana; Cimpan, Mihaela-Roxana; Martens, Marvin; Gromelski, Maciej; Puzyn, Tomasz; Fessard, Valérie; Lynch, Iseult; Dusinska, Maria; Hoet, Peter

2020

Nikkelverket stenger ned

Berglen, Tore Flatlandsmo (intervjuobjekt); Martinsen, Alf Harald (journalist)

2020

Vårfenomen i tørre Oslo-gater gir «betydelig helserisiko»

Solbakken, Christine Forsetlund (intervjuobjekt); Stensland, Marianne (journalist)

2020

Air monitoring at the Trollhaugen Observatory in Antarctica

Aas, Wenche; Eckhardt, Sabine; Evangeliou, Nikolaos; Fiebig, Markus; Halse, Anne Karine; Hansen, Georg H.; Lunder, Chris Rene; Myhre, Cathrine Lund; Bohlin-Nizzetto, Pernilla; Pfaffhuber, Katrine Aspmo; Platt, Stephen Matthew; Schmidbauer, Norbert; Solberg, Sverre; Svendby, Tove Marit; Yttri, Karl Espen

2020

VOC measurements 2018

Solberg, Sverre; Claude, Anja; Reimann, Stefan; Sauvage, Stéphane

This report presents VOC (volatile organic compound) measurements carried out during 2018 at EMEP monitoring sites. In total, 20 sites reported VOC-data from EMEP VOC sites this year. Some of the data-sets are considered preliminary and are not included in the report.

The monitoring of NMHC (non-methane hydrocarbons) has become more diverse with time in terms of instrumentation. Starting in the early 1990s with standardized methods based on manual sampling in steel canisters with subsequent analyses at the lab, the methods now consist of a variety of instruments and measurement principles, including automated continuous monitors and manual flask samples. For oxygenated VOCs (OVOCs), sampling in DNPH-tubes with subsequent lab-analyses is still the only method in use at EMEP sites.

Within the EU infrastructure project ACTRIS-2, data quality issues related to measurements of VOC have been an important topic. Many of the institutions providing VOC-data to EMEP have participated in the ACTRIS-2 project, either as formal partners or on a voluntary basis. Participation in ACTRIS-2 has meant an extensive effort with data-checking including detailed discussions between the ACTRIS community and individual participants. There is no doubt that this extensive effort has benefited the EMEP-program and has led to improved data quality in general.

Comparison between median levels in 2018 and the medians of the previous 10-years period, revealed a similar north-to-south pattern for several species.

Changes in instrumentation, procedures, station network etc. during the last two decades make it difficult to provide a rigorous and pan-European assessment of long-term trends of the observed VOCs. In this report, we have estimated the long-term trends in NMHC over the 2000-2018 period at six sites by two independent statistical methods. These estimates indicate marked differences in the trends for the individual species. Small or non-significant trends were found for ethane over this period followed by propane which also showed fairly small reductions. On the other hand, components linked to road traffic (ethene, ethyne and benzene) showed the strongest drop in mean concentrations, up to 60-80% at some stations.

The persistent heatwave in summer 2018 in northern and central Europe lead to higher isoprene-levels than normal. The data indicate a clear relationship between isoprene and afternoon temperature at the sites. An exponential fit is seen to be well suited for the relationship between isoprene and temperature.

NILU

2020

Volatile Methyl Siloxanes in Polar Regions

Krogseth, Ingjerd Sunde; Warner, Nicholas Alexander

2020

Air quality mitigation in European cities: Status and challenges ahead

Viana, Mar; de Leeuw, Frank; Bartonova, Alena; Castell, Nuria; Öztürk, Evrim Dogan; Ortiz, Alberto González

Elsevier

2020

Polycyclic aromatic hydrocarbons (PAHs), oxy- and nitro-PAHs in ambient air of the Arctic town Longyearbyen, Svalbard

Drotikova, Titiana; Ali, Aasim Musa Mohamed; Halse, Anne Karine; Reinardy, Helena; Kallenborn, Roland

Polycyclic aromatic hydrocarbons (PAHs) are not
declining in Arctic air despite reductions in their global emissions.
In Svalbard, the Longyearbyen coal-fired power plant
is considered to be one of the major local sources of PAHs.
Power plant stack emissions and ambient air samples, collected
simultaneously at 1 km (UNIS) and 6 km (Adventdalen)
transect distance, were analysed (gaseous and particulate
phases separately) for 22 nitro-PAHs, 8 oxy-PAHs,
and 16 parent PAHs by gas chromatography in combination
with single quadrupole electron capture negative ionization
mass spectrometry (GC-ECNI-MS) and gas chromatography
in combination with triple quadrupole electron ionization
mass spectrometry (GC-EI-MS/MS). Results confirm low
levels of PAH emissions (Sum 16 PAHs D 1:5 μg/kg coal)
from the power plant. Phenanthrene, 9,10-anthraquinone, 9-
fluorenone, fluorene, fluoranthene, and pyrene accounted for
85% of the plant emission (not including naphthalene). A dilution
effect was observed for the transect ambient air samples:
1.26+/- 0.16 and 0.63+/- 0.14 ng/m3 were the sum of all
47 PAH derivatives for UNIS and Adventdalen, respectively.
The PAH profile was homogeneous for these recipient stations
with phenanthrene and 9-fluorenone being most abundant.
Multivariate statistical analysis confirmed coal combustion
and vehicle and marine traffic as the predominant
sources of PAHs. Secondary atmospheric formation of 9-
nitroanthracene and 2C3-nitrofluoranthene was evaluated
and concluded. PAHs partitioning between gaseous and particulate
phases showed a strong dependence on ambient temperatures
and humidity. The present study contributes important
data which can be utilized to eliminate uncertainties in
model predictions that aim to assess the extent and impacts
of Arctic atmospheric contaminants.

2020

Evaluation of traffic control measures in Oslo region and its effect on current air quality policies in Norway

Sousa Santos, Gabriela; Sundvor, Ingrid; Vogt, Matthias; Grythe, Henrik; Haug, Tormod Wergeland; Høiskar, Britt Ann Kåstad; Tarrasón, Leonor

Elsevier

2020

Black Carbon in the Arctic

Eckhardt, Sabine

2020

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