Publikasjoner

Health researchers’ voluntary science-communication with non-academics: motivations, barriers, and practices

Schøning, Bente; Rosenbaum, Sarah Ellen; Sandanger, Torkjel M; Wien, Charlotte Nordahl

Frontiers Media S.A.

Non-target and suspect screening of volatile organic compounds from Scots pine and Norway spruce building materials

Wood building materials can be a source of volatile organic compounds (VOCs) in the indoor environment and increasing focus is put on classification and regulation of the use of wood building materials in Europe. The main wood related VOCs such as monoterpenes rarely pose adverse health effects for humans, but as analytical procedures become more sensitive new hazardous VOCs are detected in low concentration. There is a need for comprehensive identification of VOCs emitting from different wood building materials for indoor use. This study performed a first semi-quantitative non-target and suspect screening of VOC emissions from three important wood-based building materials in Europe. Air samples collected from emission chambers were analyzed using comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry and resulting mass spectra were classified into confidence groups. A total of 84, 133 and 197 compounds were found to emit from cross-laminated timber, untreated spruce panel and untreated pine panel, respectively. Pine panel was found to emit a higher number of VOCs as well as higher concentrations of most VOCs compared to the spruce building materials. Several new VOCs were detected in the emission profile of pine and spruce. However, they were mostly structurally similar to previously reported wood VOCs. Two compounds of concern emitting from all three wood building materials were furfural and (E)-2-octenal, as these have been classified as group 2 carcinogen and potent eye irritant, respectively.

Guidance on minimum information requirements (MIR) from designing to reporting human biomonitoring (HBM)

Human biomonitoring (HBM) provides an integrated chemical exposures assessment considering all routes and sources of exposure. The accurate interpretation and comparability of biomarkers of exposure and effect depend on harmonized, quality-assured sampling, processing, and analysis. Currently, the lack of broadly accepted guidance on minimum information required for collecting and reporting HBM data, hinders comparability between studies. Furthermore, it prevents HBM from reaching its full potential as a reliable approach for assessing and managing the risks of human exposure to chemicals.

The European Chapter of the International Society of Exposure Science HBM Working Group (ISES Europe HBM working group) has established a global human biomonitoring community network (HBM Global Network) to develop a guidance to define the minimum information to be collected and reported in HBM, called the “Minimum Information Requirements for Human Biomonitoring (MIR-HBM)”. This work builds on previous efforts to harmonize HBM worldwide.

The MIR-HBM guidance covers all phases of HBM from the design phase to the effective communication of results. By carefully defining MIR for all phases, researchers and health professionals can make their HBM studies and programs are robust, reproducible, and meaningful. Acceptance and implementation of MIR-HBM Guidelines in both the general population and occupational fields would improve the interpretability and regulatory utility of HBM data. While implementation challenges remain—such as varying local capacities, and ethical and legal differences at the national levels, this initiative represents an important step toward harmonizing HBM practice and supports an ongoing dialogue among policymakers, legal experts, and scientists to effectively address these challenges. Leveraging the data and insights from HBM, policymakers can develop more effective strategies to protect public health and ensure safer working environments.

Usare gli oceani per catturare l'anidride carbonica? Una tecnologia ancora non matura

Muri, Helene (intervjuobjekt)

Per raggiungere gli obbiettivi climatici oggi bisogna dare priorità a metodi che sappiamo già essere efficaci e non creano danni ulteriori all'ambiente

Using a citizen science approach to assess nanoplastics pollution in remote high-altitude glaciers

Nanoplastics are suspected to pollute every environment on Earth, including very remote areas reached via atmospheric transport. We approached the challenge of measuring environmental nanoplastics by combining high-sensitivity TD-PTR-MS (thermal desorption-proton transfer reaction-mass spectrometry) with trained mountaineers sampling high-altitude glaciers (“citizen science”). Particles < 1 μm were analysed for common polymers (polyethylene, polyethylene terephthalate, polypropylene, polyvinyl chloride, polystyrene and tire wear particles), revealing nanoplastic concentrations ranging 2–80 ng mL− 1 at five of 14 sites. The dominant polymer types found in this study were tire wear, polystyrene and polyethylene particles (41%, 28% and 12%, respectively). Lagrangian dispersion modelling was used to reconstruct possible sources of micro- and nanoplastic emissions for those observations, which appear to lie largely to the west of the Alps. France, Spain and Switzerland have the highest contributions to the modelled emissions. The citizen science approach was found to be feasible providing strict quality control measures are in place, and is an effective way to be able to collect data from remote and inaccessible regions across the world.

Det svarte fotballparadokset

Herzke, Dorte (intervjuobjekt); Larsen, Christiane Jordheim (journalist)

Supervised Anomaly Detection in Univariate Time-Series Using 1D Convolutional Siamese Networks

In time-series data analysis, identifying anomalies is crucial for maintaining data integrity and ensuring accurate analyses and decision-making. Anomalies can compromise data quality and operational efficiency. The complexity of time-series data, with its temporal dependencies and potential non-stationarity, makes anomaly detection challenging but essential. Our research introduces ADSiamNet, a 1D Convolutional Neural Network-based Siamese network model for anomaly detection and rectification. ADSiamNet effectively identifies localized patterns in time-series data and smooths detected anomalies using a quantile-based technique. In tests with physical activity data from Actigraph watches and MOX2-5 sensors, ADSiamNet achieved accuracies of 98.65% and 85.0%, respectively, outperforming other supervised anomaly detection methods. The model uses a contrastive loss function to compare input sequences and adjusts network weights iteratively during training to recognize intricate patterns. Additionally, we evaluated various univariate time-series forecasting algorithms on datasets with and without anomalies. Results show that anomaly-smoothed data reduces forecasting errors, highlighting our approach’s effectiveness in enhancing time-series data analysis’s integrity and reliability. Future research will focus on multivariate time-series datasets.

How idling and maneuvering affect air quality: Case study of school commutes

Assessing the siting of air quality sampling points at industrial sites

Air quality measurements at industrial locations are intended to assess emission sources typically of the largest magnitude, many of which operate over a long time and are subject to specific permitting rules. Industrial sources represent a significant contribution to the air pollution that people and ecosystems are exposed to. Therefore, appropriately sited sampling points are essential to understanding the characteristics of these emissions, which is necessary to design meaningful monitoring network, implement effective abatement strategies, and inform supplementary assessment methods such as dispersion modelling. Existing environmental legislation establishes criteria for the reporting of industrial emissions and for the design of monitoring networks on pollutant concentrations: 1) the Industrial Emissions Directive (IED), 2) the Regulation on European Pollutant Release and Transfer Register (E-PRTR), and 3) the Ambient Air Quality Directives (AAQDs, Directives 2008/50/EC and 2004/107/EC, as well as the Revised Directive (EU) 2024/2881). The AAQDs provide rules and guidance for monitoring stations across different environments, including specific rules for those classified as industrial. In this study we have evaluated the air quality monitoring sampling points associated with industrial sources. The overarching aim is to underpin assessments by the European Commission of whether the criteria for placing industrial sampling points are applied throughout the European Union in a harmonised manner and whether the application of the criteria ensures that the highest exposure of the general population to air pollution from industrial sources is measured in all air quality zones. For this reason, we have carried out an evaluation of the 2019 monitoring network across Europe in the vicinity of industrial sources.

Publications Office of the European Union

Source apportionment of PM10 in Bor from the WeBaSOOP campaign - preliminary results

Investigating Marine Aerosol Variability and Climate Feedbacks: A Multi-Site Analysis Using Particle Composition and Size Distribution Data

Anthropogenic particles in surface waters from Adventfjorden (Svalbard)

The ubiquitous presence of microplastics and other anthropogenic compounds in the marine environment are unfortunately not surprising anymore. Recent publications are revealing the occurrence of those synthesized particles in even remote and/or pristine areas in different marine matrices like biota, water and sediment. Nevertheless, the knowledge about sources and transport mechanisms of those anthropogenic particles (APs) is still lacking, especially in the Arctic. In this study we investigated surface waters from Isfjorden and the branching Adventfjorden, where Longyearbyen the largest settlement of Svalbard is located. Here, untreated wastewater is released into the fjord system. At two sample sites upstream and two sample sites downstream, three replicates at each location have been collected in June 2021. APs larger than <50μm were investigated regarding size, shape, and polymer type via μFTIR spectroscopy. At each sampling station, APs were present. The highest concentration of APs was found upstream and downstream Isfjorden; whereas lower concentrations were found within Adventfjorden, closest to the wastewater outlet. Additives and polypropylene showed the highest frequencies. Besides local sources like the untreated wastewater, freshwater inputs, ship traffic or the northwards long-range transport from the south into the Arctic needs to be considered.

Burning of woody debris dominates fire emissions in the Amazon and Cerrado