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Fant 2218 publikasjoner. Viser side 26 av 222:

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Esso Slagentangen. Resultater 2019 og oppsummering 2017-2019.

Berglen, Tore Flatlandsmo; Nilsen, Anne-Cathrine; Våler, Rita Larsen

NILU

2020

Transboundary particulate matter, photo-oxidants, acidifying and eutrophying components

Fagerli, Hilde; Tsyro, Svetlana; Jonson, Jan Eiof; Nyiri, Agnes; Simpson, David; Wind, Peter; Benedictow, Anna Maria Katarina; Klein, Heiko; Mu, Qing; Denby, Bruce; Wærsted, Eivind Grøtting; Aas, Wenche; Eckhardt, Sabine; Hjellbrekke, Anne-Gunn; Solberg, Sverre; Platt, Stephen Matthew; Yttri, Karl Espen; Tørseth, Kjetil; Mareckova, Katarina; Matthews, Bradley; Schindlbacher, Sabine; Ullrich, Bernhard; Wankmüller, Robert; Scheuschner, Thomas; Bergström, Robert; van der Gon, Hugo A.C. Denier; Kuenen, Jeroen J.P.; Visschedijk, Antoon J.H.; Reimann, Stefan; Hill, Matthias; Claude, Anja

Meteorologisk institutt

2020

VANDAM Final Report. June 2020.

Fjæraa, Ann Mari; Schneider, Philipp; Svendby, Tove Marit

The current document summaries the work carried out in the PRODEX project NILU VANDAM: PEA: 4000118977.

NILU

2020

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

2020

Støvmålinger Skjerkøya. Målinger av nedfallsstøv ved Ragn-Sells Dekkgjenvinning, Bamble.

Berglen, Tore Flatlandsmo; Andresen, Erik; Kihle, Jan; Opøien, Geir

NILU

2020

Prøvetaking og analyse av arsen (As) i omgivelsesluft ved Elkem Carbon. September 2019 – september 2020.

Hak, Claudia

On behalf of Elkem Carbon AS, NILU has carried out measurements of arsenic (As) in the surroundings of Elkem Carbon in Vågsbygd (Kristiansand municipality). The company was ordered by the Norwegian Environment Agency to carry out As-measurements in ambient air. PM10 samples taken with a filter sampler in the residential area on Fiskåtangen (Konsul Wilds vei) were analysed for As by inductively coupled plasma mass spectrometry (ICP-MS). This report covers measurements in the period 25 September 2019 – 28 September 2020. The annual average concentration of As was measured at 2.38 ng/m3. The target value in the air quality directive of 6 ng/m3 was complied with by a good margin. The annual average value was marginally lower than the lower assessment threshold of 2.4 ng/m3. A long range transported contribution to the two highest registered daily As-concentrations cannot be ruled out.

NILU

2020

Environmental Contaminants in an Urban Fjord, 2019

Ruus, Anders; Bæk, Kine; Rundberget, Thomas; Allan, Ian; Beylich, Bjørnar; Vogelsang, Christian; Schlabach, Martin; Götsch, Arntraut; Borgå, Katrine; Helberg, Morten

This programme, “Environmental Contaminants in an Urban Fjord” has covered sampling and analyses of sediment and organisms in a marine food web of the Inner Oslofjord, in addition to samples of blood and eggs from herring gull. The programme also included inputs of pollutants via surface water (storm water), and effluent water and sludge from a sewage treatment plant. The bioaccumulation potential of the contaminants in the Oslo fjord food web was evaluated. The exposure to/accumulation of the contaminants was also assessed in birds. A vast number of chemical parameters have been quantified, in addition to some biological effect parameters in cod, and the report serves as a status description of the concentrations of these chemicals in different compartments of the Inner Oslofjord marine ecosystem.

Norsk institutt for vannforskning

2020

European air quality maps for 2017. PM10, PM2.5, Ozone, NO2 and NOx spatial estimates and their uncertainties.

Horálek, Jan; Schreiberova, Marketa; Schneider, Philipp; Kurfürst, Pavel; Schovánková, Jana; Doubalová, Jana

ETC/ATNI

2020

Grenseområdene Norge-Russland. Luft- og nedbørkvalitet, årsrapport 2019.

Berglen, Tore Flatlandsmo; Nilsen, Anne-Cathrine; Våler, Rita Larsen; Vadset, Marit; Uggerud, Hilde Thelle; Andresen, Erik

The nickel smelters in northwest-Russia emit large quantities of sulphur dioxide (SO2) and heavy metals. These emissions lead to enhanced concentrations of environmental pollutants in the border areas. The monitoring programme shows that air quality in the border areas was in compliance with Norwegian critical levels for SO2 for the calendar year 2019, as well as for seasonal mean for winter 2018/19. In January 2019, there were two episodes with elevated concentrations of SO2 at Svanvik. At 25 January 2019, the local population was notified by SMS. Target values for Ni and As were met.

NILU

2020

MetVed v.2.0. Improvement and update of the MetVed emission model for residential wood combustion

Grythe, Henrik; Lopez-Aparicio, Susana

This report presents the update of the MetVed-model (Grythe et al., 2019). Among the updates are new emission factors and several new species that include climate gases (CO2, CH4 and N2O). There is now a new parameter that describes the emission altitude and a new and improved time variation. Activity data has been updated to the most recent year (2019), which also has required updates to the model and model input variables. The largest update has been the holiday cabin emission module, which is an entirely new addition. Emissions from cabins differ in several ways from residential emissions. The most notable difference is that cabins are spread over more rural areas and are more dispersed than the residential dwellings. The model differentiates alpine and coastal cabins, which is an important distinction as a high density of cabins exists along the coast and they are mainly used during summer.

NILU

2020

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