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Fant 9758 publikasjoner. Viser side 17 av 391:

Publikasjon  
År  
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Urban exposure of children to particles - model calculations. NILU PP

Fløisand, I.; Mc Innes, H.; Broday, D.; Lützenkirchen, S.; Holländer, W.; Bartonova, A.

2006

Urban background levels of dioxin and PCB in Oslo. NILU OR

Schlabach, M.; Tønnesen, D.

2008

Urban Air Quality Perception

Grossberndt, Sonja; Castell, Nuria; Fredriksen, Mirjam; Schneider, Philipp; Bartonova, Alena

2019

Urban air quality in larger conurbations in the European Union.

de Leeuw, F.A.A.M.; Moussiopoulos, N.; Sahm, P.; Bartonova, A.

2001

Urban air pollution and mortality in a cohort of Norwegian men.

Nafstad, P.; Håheim, L. L.; Wisløff, T.; Gram, F.; Oftedal, B.; Holme, I.; Hjermann, I.; Leren, P.

2004

Urban air pollution and human health

Cincinelli, Alessandra; Katsoyiannis, Athanasios A.

Elsevier

2019

Urban air pollution 2000-2015. Results from monitoring and modeling in Oslo and Trondheim. NILU OR

Tønnesen, D.

Ecotraffic har på oppdrag fra Statoil undersøkt forventede endringer i utslipp fra vegtrafikk ved overgang til biodrivstoff. Denne rapporten oppsummerer trender fra måle- og modellresultater for luftkvalitet i Trondheim og Oslo fra 2000 til 2015, den siste tredjedelen av perioden bare med modellresultater. Noen mulige effekter ved introduksjon av biodrivstoff er undersøkt. For konsentrasjon av partikler vil introduksjon av biodrivstoff bidra til en reduksjon av nivået. For NOX og NO2 vil imidlertid biodrivstoff kunne ha en ugunstig effekt og føre til økt konsentrasjonsnivå.

2010

Uptake of organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) by river water fish: The case of River Chenab.

Eqani, S.A.-M.-A.-S.; Malik, R.N.; Cincinelli, A.; Zhang, G.; Mohammad, A.; Qadir, A.; Rashid, A.; Bokhari, H.; Jones, K.C.; Katsoyiannis, A.

2013

Uptake of organic contaminants from car tire microplastics in Arctic marine species

Halsband, Claudia; Hägg, Fanny; Galtung, Kristin; Herzke, Dorte; Nikiforov, Vladimir; Sperre, Kristine Hopland; Sørensen, Lisbet; Egeness, Mari Jystad; Booth, Andy

Car tire particles represent an important environmental challenge that is difficult to alleviate. The particles stem from abrasion during driving, so-called tire wear particles (TWPs), down-cycled end-oflife tire crumb rubber (CR) granulate that is used widely as low-cost infill on sports fields, or degradation products from discarded tires. The material contains a variety of additives and chemical residues from the manufacturing process, including metals, especially high concentrations of zinc, polycyclic aromatic hydrocarbons (PAHs), and benzothiazoles (Halsband et al., 2020), but also paraphenylenediaminesb (PPDs) and numerous other organic chemicals. In urbanized areas, TWPs arebemitted from vehicles, while CR is dispersed from artificial sports fields and other urban surfaces to the environment. This suggests that particulate and chemical runoff to coastal systems is likely and represents a route of exposure to marine organisms. In the Arctic, even small human settlements can represent local sources of TWPs and CR granulate emissions. Here, we summarize recent experimental studies examining the responses of different marine animals to tire rubber particle or leachate exposure, focusing on toxicity and the uptake kinetics of tire-related organic chemicals into organs and tissues. We present data for different ecological functional groups relevant to the Arctic, including copepods, shrimps, crabs, and fish, representing different body sizes, marine habitats, and feeding modes, and thus varying exposure scenarios. Our findings from GC-HRMS SIM chromatography demonstrate that several tire additives are taken up into tissues. Although the available data indicates many tire-derived organic chemicals do not seem to bioaccumulate, mapping of tire rubber particle and chemical distributions in Arctic coastal systems, dose-response toxicity testing and risk assessments of environmental concentrations are warranted, also with a view to potential trophic transfer within the Arctic marine food chain.

2023

Uptake and effects of 2, 4, 6 - trinitrotoluene (TNT) in juvenile Atlantic salmon (Salmo salar)

Mariussen, Espen; Stornes, Siv Marie; Bøifot, Kari Oline; Rosseland, Bjørn Olav; Salbu, Brit; Heier, Lene Sørlie

Elsevier

2018

Updating the OECD 211 Daphnia magna Reproduction Test for Use With Engineered and Anthropogenic Particles

Lynch, Iseult; Reilly, Katie; Guo, Zhiling; Ellis, Laura-Jayne; Serchi, Tommaso; Dusinska, Maria

2022

Updating historical global inventories of anthropogenic mercury emissions to air. AMAP Technical Report, no. 3, 2010

Wilson, S.; Munthe, J.; Sundseth, K.; Kindbom, K.; Maxzson, P.; Pacyna, J.; Steenhuisen, F.

2010

2020

Updated trends for atmospheric mercury in the Arctic: 1995–2018

MacSween, Katrina; Stupple, Geoff; Aas, Wenche; Kyllönen, Katriina; Pfaffhuber, Katrine Aspmo; Skov, Henrik; Steffen, Alexandra; Berg, Torunn; Mastromonaco, Michelle Nerentorp

The Arctic region forms a unique environment with specific physical, chemical, and biological processes affecting mercury (Hg) cycles and limited anthropogenic Hg sources. However, historic global emissions and long range atmospheric transport has led to elevated Hg in Arctic wildlife and waterways. Continuous atmospheric Hg measurements, spanning 20 years, and increased monitoring sites has allowed a more comprehensive understanding of how Arctic atmospheric mercury is changing over time. Time-series trend analysis of TGM (Total Gaseous Mercury) in air was performed from 10 circumpolar air monitoring stations, comprising of high-Arctic, and sub-Arctic sites. GOM (gaseous oxidised mercury) and PHg (particulate bound mercury) measurements were also available at 2 high-Arctic sites. Seasonal mean TGM for sub-Arctic sites were lowest during fall ranging from 1.1 ng m−3 Hyytiälä to 1.3 ng m−3, Little Fox Lake. Mean TGM concentrations at high-Arctic sites showed the greatest variability, with highest daily means in spring ranging between 4.2 ng m−3 at Amderma and 2.4 ng m−3 at Zeppelin, largely driven by local chemistry. Annual TGM trend analysis was negative for 8 of the 10 sites. High-Arctic seasonal TGM trends saw smallest decline during summer. Fall trends ranged from −0.8% to −2.6% yr−1. Across the sub-Arctic sites spring showed the largest significant decreases, ranging between −7.7% to −0.36% yr−1, while fall generally had no significant trends. High-Arctic speciation of GOM and PHg at Alert and Zeppelin showed that the timing and composition of atmospheric mercury deposition events are shifting. Alert GOM trends are increasing throughout the year, while PHg trends decreased or not significant. Zeppelin saw the opposite, moving towards increasing PHg and decreasing GOM. Atmospheric mercury trends over the last 20 years indicate that Hg concentrations are decreasing across the Arctic, though not uniformly. This is potentially driven by environmental change, such as plant productivity and sea ice dynamics.

Elsevier

2022

Update on Polar Ozone: Past, Present, and Future. WMO Global Ozone Research and Monitoring Project, Report No. 55

Dameris, M., Godin-Beekmann, S. (Lead Authors), Alexander, S.; Braesicke, P.; Chipperfield, M.; de Laat, A.T.J.; Orsolini, Y.; Rex,M.; Santee, M.L.

2014

Update of background concentrations over Norway. NILU OR

Schneider, P.; Tønnesen, D.; Denby, B.

A methodology for creating a new dataset of estimated background concentrations of NO2, O3, PM10, and PM2.5 that are representative of a typical year over Norway, was developed. The dataset has a spatial resolution of 10 km × 10 km and an hourly temporal resolution. The methodology is based on a spatial mapping component for obtaining information on annual mean background concentrations, and a temporal characterization component, which uses long-term time series of station data to describe the typical development of background concentrations throughout a day and a year. When combined, these two components allow estimates of typical background concentrations at any time of the year at any location in Norway. Whereas the previously used VLUFT method of 1993 only provided spatially constant data at the county level, the new method presented here provides spatially continuous data at a comparatively high spatial resolution. Furthermore, while the previous method only gave a range of constant values that were considered valid throughout the entire year, the new technique provides continuous time series for a typical year at hourly resolution at any location in Norway.

2011

Update and improvement of dispersion calculations for emissions to air from TCM's amine plant. Part l-Worst case nitrosamines and nitramines. NILU OR

Tønnesen, D.

Inert spredning av et enhetsutslipp er kombinert med tidsavhengig luftkjemi for å beregne maksimal belastning I luft og ferskvann for utslipp fra aminabsorberen ved TCM. Beregningene for et worst case viser at maksimal belastning av summen av nitrosaminer og nitraminer er 5 % av anbefalt retningslinje for luftkvalitet. Maksimale konsentrasjoner i ferskvann fra utslippet er fra 13 % til 53 % av retningslinjen avhengig av hvilken absorbent som benyttes og hvilken avgass som renses. Effekten av et "likely case" er estimert. Estimatet viser at luftkonsentrasjonene blir en faktor 3 lavere enn worst case. Ferskvannkonsentrasjonene blir en faktor fra 10 til 20 lavere enn worst case avhengig av hvilken absorbent som benyttes.

2011

Update and improvement of dispersion calculations for emissions to air from TCM's amine plant. Part II-Likely case nitrosamines, nitramines and formaldehyde. NILU OR

Tønnesen, D.

Inert spredning av et enhetsutslipp er kombinert med tidsavhengig luftkjemi for å beregne maksimal belastning I luft og ferskvann for utslipp fra aminabsorberen ved TCM. Beregningene for et likely case viser at maksimal belastning av summen av nitrosaminer og nitraminer er 2 % av anbefalt retningslinje for luftkvalitet. Maksimale konsentrasjoner i ferskvann fra utslippet er fra 0.6 % til 3.2 % av retningslinjen avhengig av hvilken absorbent som benyttes og hvilken avgass som renses. For likely case i forhold til worst case er luftkonsentrasjonene en faktor 3 til 4 lavere enn worst case. Ferskvannkonsentrasjonene blir en faktor fra 16 til 22 lavere enn worst case avhengig av hvilken absorbent som benyttes.

2011

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