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Monitoring of the atmospheric ozone layer and natural ultraviolet radiation. Annual Report 2023
This report summarizes the results from the Norwegian monitoring programme on stratospheric ozone and UV radiation measurements. The ozone layer has been measured at three locations since 1979: In Oslo/Kjeller, Tromsø/Andøya and Ny-Ålesund. The UV measurements started in 1995. The results show that there was a significant decrease in stratospheric ozone above Norway between 1979 and 1997. After that, the ozone layer stabilized at a level ~2% below pre-1980 level. The year 2023 was characterized by low ozone values in winter, high spring values, and annual average total ozone values slightly below the long-term mean.
NILU
2024
Monitoring of greenhouse gases and aerosols at Svalbard and Birkenes in 2023. Annual report
This annual report for 2023 summarizes the activities and results of the greenhouse gas monitoring at the Zeppelin Observatory, situated on Svalbard, during the period 2001-2023, and the greenhouse gas monitoring and aerosol observations from Birkenes for 2009-2023.
NILU
2024
Atmospheric Supply of Nitrogen, Cadmium, Mercury and B(a)P to the Baltic Sea in 2022
Norwegian Meteorological Institute
2024
Monitoring of long-range transported air pollutants in Norway. Annual report 2023.
This report presents results from the monitoring of atmospheric composition and deposition of air pollution in 2023, and focuses on main components in air and precipitation, particulate and gaseous phase of inorganic constituents, particulate carbonaceous matter, ground level ozone and particulate matter. The level of pollution in 2023 was generally low though a few episodes occurred. There was an increase in the PM levels in southern Norway during June, caused by a mixture of sources, including emissions from wildfires in Canada
NILU
2024
Reviderte beregninger av luftkvalitet ved Bjørnheimveien 26
NILU har blitt engasjert av Prem Partners II A/S for å vurdere utbredelse av luftsoner for dagens situasjon og en framtidig situasjon med foreslått boligblokk i Bjørnheimveien 26. Det er anvendt en Gaussisk spredningsmodell for linjekilder (Hiway-2). Når det tas hensyn til lokal topografi ved det aktuelle området, viser beregningene at den nye bygningen i hovedsak faller utenfor rød luftsone på bakkenivå, med unntak av det sørøstre hjørnet av bygningen som beregningene indikerer at ligger innenfor. Videre viser beregningene at skjermingseffekten for eksisterende bebyggelse av en ny bygning er marginal. Rapporten er en revisjon av NILU-rapport 15/2021.
NILU
2024
NILU og Transportøkonomisk institutt (TØI) har på oppdrag fra Miljødirektoratet videreutviklet modellen NERVE («Norwegian Emissions from Road Vehicle Exhaust») for beregning av klimagassutslipp fra veitrafikken i norske kommuner. NERVE-modellen anvender de mest detaljerte datasettene for bilpark, utslippsfaktorer, trafikk og veier for spesifikke lokale forhold. Datasettene er kombinert i en datastruktur som gjør at resultat kan aggregeres på et lite eller et stort geografisk område. NERVE kan således betegnes som en «bottom-up»-utslippsmodell, fordi den er bygget opp «nedenfra» fra detaljerte datakilder. Denne rapporten presenterer metodikken og antagelsene bak beregningene med NERVE, og sammenligner resultat aggregert på nasjonalt nivå med annen tilgjengelig nasjonal statistikk.
NILU
2024
Investigating snow deposition of cyclic siloxanes in an Arctic environment
cVMS are high production volume chemicals that are used for a wide range of industrial and domestic applications. Given the high volatility of cVMS, emissions occur mainly to the atmosphere, and cVMS are present in the Arctic atmosphere, e.g. at the Zeppelin Observatory near Ny Ålesund, Svalbard, suggesting potential for long-range atmospheric transport. A study to investigate whether cVMS have the potential to deposit to surface media, and thereby represent a potential risk to the terrestrial or marine environment in polar and Arctic regions was carried out. Overall, cVMS levels in samples of vegetation, soil, sediment and marine biota were low. D4 was detected in most samples at concentrations above LOD, but below LOQ, while D5 and D6 were generally not detected. The low cVMS concentrations in soil, vegetation, sediments, and fish are in line with most current research on cVMS in remote regions, which together suggest that input of cVMS from atmospheric deposition and snow melt is likely not a major contributing source.
NILU
2024
Monitoring of environmental contaminants in freshwater food webs (MILFERSK), 2023
This report presents data from the third year of a 5-year period of the MILFERSK program. In 2023 the monitoring program reports on the sampling and analyses of the pelagic food chain in Lake Mjøsa, with the following sample types: zooplankton, Mysis, E. smelt, vendace, and brown trout, in addition to brown trout from Lake Femunden. A total of 205 single compounds/isomers were determined, and frequent detections were found of specific PFAS, PBDEs, Hg and siloxanes through the food chain with biomagnifying properties. Some contaminants, such as octocrylene is found in higher concentrations in the lower trophic levels. A slight downwards trend is observed from 2014 – 2023 for PFOS in Lake Mjøsa. We also observe a lower length adjusted mercury concentration for brown trout in Lake Mjøsa for the period 2014 to 2023, compared to the 9 years prior (2006 – 2014).
Norsk institutt for vannforskning (NIVA)
2024
Integrating Low-cost Sensor Systems and Networks to Enhance Air Quality Applications
Low-cost air quality sensor systems (LCS) are emerging technologies for policy-relevant air quality analysis, including pollution levels, source identification, and forecasting. This report discusses LCS use in networks and alongside other data sources for comprehensive air quality applications, complementing other WMO publications on LCS operating principles, calibration, performance assessment, and data communication.
The LCS’s utility lies in their ability to provide new insights into air quality that existing data sources may not offer. While LCS data must be verified, their integration with other data sources can enhance understanding and management of air quality. In areas without reference-grade monitors, LCS can identify factors affecting local air quality and guide future monitoring efforts. Combining LCS data with satellite and other air quality systems can improve data reliability and establish corroborating evidence for observed trends. LCS can extend the spatial coverage of existing monitoring networks, offering localized insights and supporting effective air quality management policies. Co-locating LCS with reference-grade monitors helps quantify measurement uncertainties and apply LCS data appropriately for forecasting, source impact analysis, and community engagement.
World Meteorological Organization
2024
Copernicus Atmosphere Monitoring Servicice
2024