Rapport

Homologue group profiles of ΣPCAs C14-17 in environmental samples from Norwegian monitoring programmes

Nipen, Maja; Borgen, Anders

Recently, chlorinated paraffins with carbon chain lengths in the range C14–17 and chlorination levels at or exceeding 45 per cent chlorine by weight have been proposed for listing under the Stockholm Convention. To aid the process of determining the identification of sum polychlorinated alkanes ΣPCAs C14-17 under the regulation (i.e. number of chlorines), there is a need for data from environmental samples that specifies the homologue group profiles, not just ΣPCAs.

In this report we present data on PCAs with a focus on ΣPCAs C14-17 from the Norwegian Environment Agency’s monitoring programmes in more detail than available in the programmes reports, focusing on homologue group patterns and chlorination degree. The programmes are i) Environmental pollutants in the terrestrial and urban environment ii) Atmospheric contaminants iii) Environmental contaminants in an urban fjord. Data presented are from the 2022 (Halvorsen et al., 2023; Heimstad et al., 2023; Ruus, 2023) and 2023 (reports in prep) programmes.

NILU

The FAIRness of ACTRIS Data Centre

Myhre, Cathrine Lund; Fiebig, Markus; Rud, Richard Olav; Mona, Lucia; Dema, Claudio; Pascal, Nicolas; Henry, Patrice; Picquet-Varrault, Bénédicte; Brissebrat, Guillaume; Boonne, Cathy; O'Connor, Ewan; Tukiainen, Simo

The purpose of this report is to document the status and implementation of FAIRness within ACTRIS Data centre as of March 2023, developed over the period January 2019 – March 2023.

The report is an extended version of ENVRI-FAIR deliverable D8.4 due March 2023 and available through Zenodo: ENVRI-FAIR D8.4: The FAIRness of ACTRIS | Zenodo, only including the work until autumn 2022. This present report adds more information to the implementation of the FAIR principles by ACTRIS Data Centre over the period January 2019 – March 2023. In addition to D8.4, the present report provides a comprehensive external FAIRness assessment covering the entire period 2019 - 2023, along with an evaluation of the implementation in the years 2022 and the first half of 2023. It's important to note that the project deliverable only encompasses the period from 2019 to 2021.

NILU

Måling av luftkvalitet i Forsvarets forlegning i Bamako. Målinger for Det norske forsvaret 2022.

Johnsrud, Mona; Tørnkvist, Kjersti Karlsen; Uggerud, Hilde Thelle; Vadset, Marit; Andresen, Erik; Schmidbauer, Norbert; Halse, Anne Karine

NILU

Alcoa Mosjøen. Measurements of CF4 and C2F6 emissions from Alcoa Aluminium’s smelter at Mosjøen, Norway.

Schmidbauer, Norbert; Hermansen, Ove; Lunder, Chris Rene

NILU performed a test campaign for measurements of CF4 and C2F6 for stack emissions at Alcoa Mosjøen Smelter. Time-integrated samples were taken with evacuated canisters combined with low-flow restrictors for continuous sampling periods as long as 4 weeks. The samples were analyzed at NILU with a Medusa preconcentration method combined with GC-MS SIM. As a main conclusion, time integrated sampling together with Medusa GC-MS methodology is a very precise alternative to the traditional attempts to quantify PFC-emission.

NILU

Health Risk Assessment of Air Pollution: assessing the environmental burden of disease in Europe in 2021

Soares, Joana; Plass, Dietrich; Kienzler, Sarah; Ortiz, Alberto González; Gsella, Artur; Horálek, Jan

This report presents the results of the environmental burden of disease (or health risk) assessment related to air pollution in 2021. The estimates include all-cause mortality and cause-specific mortality and morbidity health outcomes, with ten risk-outcome pairs considered for the cause-specific estimates. Cause-specific mortality and morbidity estimates are combined to allow assessing the overall impact on population health based on a common indicator, the disability-adjusted life year. Using estimates disaggregated by mortality and morbidity components allows for the identification of the related shares across European countries.

ETC/HE

Field evaluation of three Vaisala sensor system units (AQT530). Gaseous compounds - O3, NO2, NO.

Hak, Claudia; Dauge, Franck Rene

NILU

Screening Programme 2022. New environmental pollutants.

Gundersen, Cathrine Brecke; Reid, Malcolm; Rostkowski, Pawel; Bæk, Kine; Rundberget, Thomas; Vogelsang, Christian; Rødland, Elisabeth; Beylich, Bjørnar; Eikenes, Heidi; Bäcklund, Are; Walker, Sam-Erik; Borgen, Anders Røsrud; Nikiforov, Vladimir; Håland, Alexander; Schmidbauer, Norbert

Norsk institutt for vannforskning

Hierarchical Clustering and Dissimilarity Polygon Analyses. Optimizing the Polish Deposition Network.

Soares, Joana; Aas, Wenche; Eckhardt, Sabine; Guerreiro, Cristina

The potential re-design of the current deposition monitoring network in Poland was assessed by hierarchical clustering analysis. This statistical method determines the inherent or natural groupings of datasets, and/or to provide a summarization of data into groups using different metrics to assess the (di)similarity. The metrics are based on the correlation, to assess the temporal similarity, the Euclidean distance, to assess the magnitude similarity, and the combination of both. This method was used to assess the areas with similar deposition patters across the country based on measurement and model data for acidic compounds and heavy metals. The analysis clearly identified stations potentially redundant or measuring unique deposition patters and regions that represent the potential location of a single station.

NILU

Hydrovolt AS i Fredrikstad. Målinger av flyktige organiske forbindelser (VOC)

Håland, Alexander; Schmidbauer, Norbert; Berglen, Tore Flatlandsmo; Eikenes, Heidi; Andresen, Erik

NILU

Skogens helsetilstand i Norge. Resultater fra skogskadeovervåkingen i 2022

Timmermann, Volkmar; Børja, Isabella; Clarke, Nicholas; Gohli, Jostein; Hietala, Ari Mikko; Jepsen, Jane Uhd; Krokene, Paal; Lislegård, Harald Haga; Nagy, Nina Elisabeth; Nyeggen, Hans; Solberg, Sverre; Solheim, Halvor; Solvin, Thomas Mørtvedt; Svensson, Arvid; Tollefsrud, Mari Mette; Vindstad, Ole Petter Laksforsmo; Økland, Bjørn; Aas, Wenche

Skogens helsetilstand påvirkes i stor grad av klima og værforhold, enten direkte ved tørke, frost og vind, eller indirekte ved at klimaet påvirker omfanget av soppsykdommer og insektangrep. Klimaendringene og den forventede økningen i klimarelaterte skogskader gir store utfordringer for forvaltningen av framtidas skogressurser. Det samme gjør invaderende skadegjørere, både allerede etablerte arter og nye som kan komme til Norge i nær framtid. I denne rapporten presenteres resultater fra skogskadeovervåkingen i Norge i 2022 og trender over tid for følgende temaer:
(i) Landsrepresentativ skogovervåking;
(ii) Intensiv skogovervåking;
(iii) Overvåking av bjørkemålere i Troms og Finnmark;
(iv) Barkbilleovervåkingen;
(v) Furuvednematode;
(vi) Askeskuddsyke;
(vii) Andre spesielle skogskader i 2022.

NIBIO

Monitoring of environmental contaminants in freshwater food webs (MILFERSK) 2022

Jartun, Morten; Økelsrud, Asle; Bæk, Kine; Rundberget, Thomas; Øxnevad, Sigurd; Ruus, Anders; Grung, Merete; Enge, Ellen Katrin; Hanssen, Linda; Harju, Mikael; Johansen, Ingar

Norsk institutt for vannforskning

City-level mapping of air quality at fine spatial resolution – the Prague case study. NO2, PM10 and PM2.5 maps on a 100 m spatial grid.

Horálek, Jan; Damaskova, Dasa; Schneider, Philipp; Kurfürst, Pavel; Schreiberova, Marketa; Vlcek, Ondrej

This paper examines the creation of fine resolution maps at 100 m x 100 m resolution using statistical downscaling for the area of Prague, as a case study. This Czech city was selected due to the fine resolution proxy data available for this city. The reference downscaling methodology used is the linear regression and the interpolation of its residuals by the area-to-point kriging. Next to this, several other methods of statistical downscaling have been also executed. The results of different downscaling methods have been compared mutually and against the data from the monitoring stations of Prague, separately for urban background and traffic areas.

The downscaled maps in 100 m x 100 m resolution have been constructed for the area of Prague for three pollutants, namely for NO2, PM10 and PM2.5. Several methods of the statistical downscaling have been compared mutually and against the data from the monitoring stations. In general, the best results are given by the linear regression and the interpolation of its residuals, either by the area-to-point kriging or the bilinear interpolation. In the maps, one can see overall realistic spatial patterns, the main roads in Prague are visible through higher air pollution levels. This is distinct especially for NO2, while for PM10 and PM2.5 the differences between road increments and urban background are smaller as would be expected. The results of the case study for Prague have proven the usefulness of the statistical downscaling for the air quality mapping, especially for NO2. In addition, the population exposure estimates based on the downscaled mapping results have been also calculated.

ETC/HE