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The FAIRness of ACTRIS Data Centre
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.
Alcoa Mosjøen. Measurements of CF4 and C2F6 emissions from Alcoa Aluminium’s smelter at Mosjøen, Norway.
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.
Health Risk Assessment of Air Pollution: assessing the environmental burden of disease in Europe in 2021
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.
Hierarchical Clustering and Dissimilarity Polygon Analyses.
Optimizing the Polish Deposition Network.
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.
Identification of POP candidates among chemicals in plastic. Screening for LRTP using the Emissions Fractions Approach
There is considerable interest in identifying chemicals which have the potential to undergo long-range environmental transport (LRTP), accumulate in remote regions, and represent a possible risk to environmental and human health. In this report, we have screened a list of 1,000 organic chemicals, as well as selected brominated dioxins and furans (PBDD/Fs), for their potential to be dispersed, transferred to, and accumulated in remote regions. This screening was carried out applying a new set of LRTP metrics, collectively referred to as the emissions fractions approach (EFA), as implemented in a modified version of the OECD POV and LRTP (long-range transport potential) Screening Tool (The Tool).
Måling av maursyre og eddiksyre i to oppbevaringsbokser ved Munchmuseet i Oslo
Målinger av maursyre (HCOOH), eddiksyre (CH3COOH) og flyktige organiske forbindelser (VOC) ble gjort i to oppbevaringsbokser ved Munchmuseet i Oslo. Noe forhøyede konsentrasjoner av maursyre, eddiksyre og totale flyktige organiske forbindelser (TVOC) ble målt i boksene, men konsentrasjonene er like fullt lave sammenlignet med vurderte risikonivåer for kulturav-materialer.
Skogens helsetilstand i Norge. Resultater fra skogskadeovervåkingen i 2022
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;
(vii) Andre spesielle skogskader i 2022.
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.
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.
Environmental pollutants in the terrestrial and urban environment 2022
Samples of soil, earthworm, fieldfare egg, brown rat liver, spanish slug, house dust and cat liver from the urban terrestrial environment in the Oslo area were analysed for several different groups of environmental pollutants. Biota-soil accumulation was calculated from soil to earthworm from the same location, and biomagnification-potential was estimated based on detected data for relevant predator-prey pairs from the same location.
Concept and plan of effect-based monitoring and effect directed analysis (EDA) of chemicals towards EWS
Establishment of an early warning system (EWS) for the identification of new and existing potentially hazardous substances is a key component of PARC. An EWS includes early warning monitoring toolboxes to identify chemical hazards in a broad range of biotic and abiotic matrices and products with a special focus on aqueous environment that may be associated with an unacceptable health risk. Effect-based monitoring (EBM) and effect-directed analysis (EDA) are identified as key toolboxes for prioritizing chemical hazards in various matrices including water, soil, sediment, sludge, air, dust, aquatic and terrestrial biota, human samples, products like food contact materials, and food. This report gives an overview of i) sampling strategies, ii) sample preparation methods for bioassays and chemical analysis, iii) EBM using bioassays, iv) chemical analytical methods including target, suspect and nontarget screening, v) EDA and iceberg modelling, and vi) future perspectives and needs for an EWS.
Partnership for the Assessment of Risks from Chemicals (PARC)