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Quantification of Global Ammonia Sources constrained by a Bayesian Inversion Technique (COMBAT)

Evangeliou, Nikolaos; Eckhardt, Sabine; Balkanski, Yves; Stohl, Andreas

2018

Quantification of microplastic in fillet and organs of farmed and wild salmonids - a comparison of methods for detection and quantification - SALMODETECT

Gomiero, Alessio; Haave, Marte; Bjorøy, Ørjan; Herzke, Dorte; Kögel, Tanja; Nikiforov, Vladimir; Øysæd, Kjell Birger

Microplastic (MP) is of growing concern to environmentaland humanhealth. Thisstudy investigated three analytical approachesto measure MPin tissues of salmonids. The studyaimed to 1) determine and demonstrate the sensitivity of current analytical methods for MP in salmon tissues for the three different quantitative methods, 2) compare the utility of the different methods in terms of cost, time and sensitivity 3) quantify MP in a relevant selection of tissues of farmedand wildsalmon in order to establish likely indicator organs for future documentation purposes. We here present the results, compare themethodsand discuss uncertainties and needs for further method development.

NORCE Norwegian Research Centre

2020

Quantification of sources of PCBs to the atmosphere in urban areas: A comparison of cities in North America, Western Europe and former Yugoslavia.

Gasic, B.; MacLeod, M.; Klanova, J.; Scheringer, M.; Ilic, P.; Lammel, G.; Pajovic, A.; Breivik, K.; Holoubek, I.; Hungerbühler, K.

2010

Quantifying black carbon from biomass burning by means of levoglucosan - a one year time series at the Arctic observatory Zeppelin.

Yttri, K. E.; Myhre, C.L.; Eckhardt, S.; Fiebig, M.; Dye, C.; Hirdman, D.; Ström, J.; Klimont, Z.; Stohl, A.

2014

Quantifying CH4 leaks from the Nordstream pipelines using ICOS data: updated estimates using the FLEXPART Lagrangian particle dispersion model

Pisso, Ignacio; Platt, Stephen Matthew; Schmidbauer, Norbert; Eckhardt, Sabine; Evangeliou, Nikolaos; Thompson, Rona Louise; Cassiani, Massimo

2023

Quantifying effect of traffic measures using individual exposure modeling. NILU F

Clench-Aas, J.; Bartonova, A.; Klæboe, R.; Kolbenstvedt, M.

1999

Quantifying methane emissions from the Arctic Ocean seabed to the atmosphere.

Platt, S.; Pisso, I.; Schmidbauer, N.; Hermansen, O.; Silyakova, A.; Ferré, B.; Vadakkepuliyambatta, S.; Myhre, G.; Mienert, J.; Stohl, A.; Myhre, C.L.

2016

Quantifying subnational CO2 emissions by assimilating regional measurements in a global high-resolution inverse model

Nayagam, Lorna Raja; Maksyutov, Shamil; Oda, Tomohiro; Janardanan, Rajesh; Yoshida, Yukio; Trisolino, Pamela; Zeng, Jiye; Kaiser, Johannes; Matsunaga, Tsuneo

2024

Quantifying the Impact of the Covid-19 Lockdown Measures on Nitrogen Dioxide Levels throughout Europe

Solberg, Sverre; Walker, Sam-Erik; Schneider, Philipp; Guerreiro, Cristina

In this paper, the effect of the lockdown measures on nitrogen dioxide (NO2) in Europe is analysed by a statistical model approach based on a generalised additive model (GAM). The GAM is designed to find relationships between various meteorological parameters and temporal metrics (day of week, season, etc.) on the one hand and the level of pollutants on the other. The model is first trained on measurement data from almost 2000 monitoring stations during 2015–2019 and then applied to the same stations in 2020, providing predictions of expected concentrations in the absence of a lockdown. The difference between the modelled levels and the actual measurements from 2020 is used to calculate the impact of the lockdown measures adjusted for confounding effects, such as meteorology and temporal trends. The study is focused on April 2020, the month with the strongest reductions in NO2, as well as on the gradual recovery until the end of July. Significant differences between the countries are identified, with the largest NO2 reductions in Spain, France, Italy, Great Britain and Portugal and the smallest in eastern countries (Poland and Hungary). The model is found to perform best for urban and suburban sites. A comparison between the found relative changes in urban surface NO2 data during the lockdown and the corresponding changes in tropospheric vertical NO2 column density as observed by the TROPOMI instrument on Sentinel-5P revealed good agreement despite substantial differences in the observing method.

MDPI

2021

Quantifying the source/receptor link for the IAGOS-MOZAIC observation database.

Auby, A.; Sauvage, B.; Thouret, V.; Boulanger, D.; Eckhardt, S.; Darras, S.; Turquety, S.

2013

Quantifying wet scavenging processes in aircraft observations of nitric acid and cloud condensation nuclei.

Garrett, T.J.; Avey, L.; Palmer, P.I.; Stohl, A.; Neuman, J.A.; Brock, C.A.; Ryerson, T.B.; Holloway, J.S.

2006

Quantitative analysis of Microplastics including Tire Wear Particles in Northern Atlantic Air with Pyrolysis-GC/MS

Isabel, Gossmann; Schulz, Janina; Herzke, Dorte; Nikiforov, Vladimir; Held, Andreas; Wurl, Oliver; Scholz-Böttcher, Barbara

2023

Quantitative Analysis of Microplastics including Tire Wear Particles in Northern Atlantic Air with Pyrolysis-GC/MS

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

2023

Quantitative analysis of the 16-17 September 2013 resuspended ash event in Iceland.

Kylling, A.; Beckett, F.; Sigurdardottir, G.M.; von Loewis, S.; Witham, C.

2015

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