Found 10360 publications. Showing page 6 of 415:
Nitrogen dioxide (NO2) is a well-known air pollutant, mostly elevated by car traffic in cities. To date, small, reliable, cost-efficient multipollutant sensors with sufficient power and accuracy for community-based atmospheric studies are still lacking. The HAPADS (highly accurate and autonomous programmable platforms for providing air pollution data services) platforms, developed and tested in real conditions, can be a possible approach to solving this issue. The developed HAPADS platforms are equipped with three different NO2 sensors (7E4-NO2–5, SGX-7NO2, MICS-2711 MOS) and a combined ambient air temperature, humidity, and pressure sensor (BME280). The platforms were tested during the driving test, which was conducted across various roads, including highways, expressways, and national and regional routes, as well as major cities and the countryside, to analyse the environmental conditions as much as possible (Poland, 2024). The correlation coefficient r was more than 0.8, and RMSE (root mean squared error) was in the 3.3–4.3 μg/m3 range during the calibration process. The results obtained during the driving tests showed R2 of 0.9–1.0, which proves the ability of HAPADS platforms to work in the hard environmental conditions (including high rain and snow, as well as sun and a wide range of temperatures and humidity).
2026
Transboundary particulate matter, photo-oxidants, acidifying and eutrophying components
Norwegian Meteorological Institute
2025
2025
Physics-Informed Deep Learning for Wind Downscaling over Oslo
Running a numerical weather model such as WRF at kilometre or sub-kilometre grid spacing over a regional domain is computationally expensive. We present physics-informed deeplearning models that ingest a single 9km WRF wind field and simultaneously predict two finer-scale wind fields at 3 km and 1 km resolution via dual decoder heads. Four representative architectures are benchmarked-Deep Residual U-Net (DeepRU), DEVINE, a bespoke 3-D Transformer, and a Fourier Neural Operator (FNO)-each trained with divergence-free, vorticity, and Navier-Stokes residual constraints plus Charbonnier and gradient perceptual losses. We train and validate our models on the city of Oslo for the year 2018. DeepRU achieves R2=0.94 (RMSE =0.050) at 3km and R2=0.89(RMSE=0.065) at 1 km. DEVINE, Transformer 3-D, and FNO yield 3 km scores of 0.91−0.93, with 1km scores lower by 0.02−0.08, illustrating the increased difficulty of finer-scale reconstruction. Physicsinformed losses improve all models compared to MSE-only baselines, and the residual architecture (DeepRU) remains most effective for this dual-scale task.
2025
Characterization of German SF6 Emissions
Sulfur hexafluoride (SF6) is a highly potent greenhouse gas with a Global Warming Potential (GWP) of 24,700 over 100 years and is globally mainly used as an electrical insulator in switchgear. Several measurement networks have tracked SF6 for many years and their European data reveal significant emissions in southern Germany. This study focuses on German SF6 emissions (2020–2023), using atmospheric measurements from 22 European sites, offering high spatial and temporal resolution for robust emission assessments. While German UNFCCC inventory bottom-up emission estimates report a major source of SF6 through the disposal of soundproof windows, the spatial distribution of German SF6 emissions derived on top-down inversion techniques (InTEM and Flexinvert+) reveals a different picture: The continuous pattern of high emissions from a particular region is responsible for one-third of total SF6 emissions in Germany. Despite this, total German SF6 emissions have decreased from 112 ± 26 t in 2020 to 89 ± 15 t in 2023 (InTEM), with estimates from all methods (both bottom-up and top-down) showing similar trends. Our findings suggest that the emissions from soundproof windows are overestimated, while industrial sources - particularly from SF6 production and recycling in the focus region - are likely underestimated.
2025
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2025
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.
2025
MIKRONOR 2024 Monitoring of microplastics and tyre wear particles in the Norwegian environment
The 2024 MIKRONOR campaign, coordinated by NIVA and NILU on behalf of the Norwegian Environment Agency, signifcantly expanded the national monitoring framework for microplastics (MPs) to encompass diverse environmental compartments, including surface waters (Oslofjord and Lake Mjøsa), urban runoff, marine sediments, atmospheric deposition, and coastal beach sediments. Urban stormwater runoff was identifed as a predominant source of MPs, particularly tyre wear particles (TWP). Sediment samples from stormwater traps in Oslo exhibited high TWP concentrations up to 240 mg/g, constituting approximately 25% of the total sediment mass. Corresponding runoff water samples revealed MP concentrations as high as 733 ± 142 particles/L, indicating substantial episodic fuxes of MPs into receiving aquatic or marine systems. Inner Oslofjord sediments contained 0.6–3.5 % TWP by mass, confrming the high levels found in 2023. Microplastic concentrations in surface waters were generally low, ranging from 0 to 0.6 MP/m³. However, two hydrodynamic accumulation zones within the Oslofjord exhibited anomalously high concentrations, with levels approximately two orders of magnitude greater than outside the accumulation zones. One net tow recovered >7,000 fragments of expanded polystyrene, highlighting localized retention. Atmospheric deposition peaked in urban Sofenbergparken (1514 µg/m²/d; 68 % TWP) and showed a clear urban-to-remote gradient. Beach sediments at Akerøya remained low in MPs, with most samples below detection limits. The findings highlight urban runoff, especially TWP, as a dominant source to the Oslofjord, and reveal critical hotspots in both water and air pathways.
Norsk institutt for vannforskning (NIVA)
2025
NO-Hur: the fate of a forest in trouble
An update on the carbon gains and losses at Hurdal
2025
National E-waste Monitor 2025 - Norway
The National E-waste Monitor 2025 – Norway provides a detailed assessment of the current situation of e-waste statistics and legislation, and an outlook on e-waste statistics up to 2050.
Norway is the world’s leading nation in Waste Electrical and Electronic Equipment (WEEE) generation per capita, producing 27.5 kg per person in 2022, equivalent to 149 kt.
However, the country has established an efficient collection system, successfully gathering 72% of generated e-waste, with 107 kt tons collected in 2022 (approximately 19.5 kg per capita).
The country’s WEEE stock has seen significant growth over the past decade, expanding from 14 million tons in 2010 to nearly 20 million tons in 2022. However, based on the monitor’s results, the implementation of robust Circular Economy measures could help EEE Put on the Market in Norway reaching, by 2050, half of the to 2010 levels (67 kt). The big drop is explained by more repairability and improved durability of EEE products; by contrast, the projection in a Business as Usual scenario would be 5 times higher (294 kt) than in the Circular Economy scenario.
In terms of international trade, Norway reported 20 kt of used EEE exports for reuse, primarily within the European Union. Legal WEEE exports saw an increase from 27 kt in 2022 to 38 kt in 2023. Authorities intercepted 15.5 t of illegal exports due to inadequate documentation and functionality testing.
Upcoming country investments may go in the direction of recycling technologies for rare earth metals and precious materials recovery, improved small electronics collection systems, stricter labelling requirements for recyclable components and hazardous substances.
While Norway’s e-waste management system is already considered exemplary, the monitor’s results emphasize the need for more ambitious targets aligned with the WEEE Directive to create a truly sustainable and circular electronics management system. The focus is now shifting toward public awareness campaigns to encourage repair over replacement and the development of more efficient collection methods for small electronic devices.
Citation: E. D’Angelo, M. Schubert, T. Yamamoto, C.P. Baldé, E. Bourgé and G. Abbasi, United Nations Institute for Training and Research, NILU, “National E-waste monitor 2025 - Norway”, 2025, Bonn/Oslo, Germany and Norway.
NILU
2025
Ensuring data quality, completeness, and interoperability is crucial for progressing safety research, Safe-and-Sustainable-by-Design approaches, and regulatory approval of nanoscale and advanced materials. While the FAIR (Findable, Accessible, Interoperable, and Re-usable) principles aim to promote data re-use, they do not address data quality, essential for data re-use for advancing sustainable and safe innovation. Effective quality assurance procedures require (meta)data to conform to community-agreed standards. Nanosafety data offer a key reference point for developing best practices in data management for advanced materials, as their large-scale generation coincided with the emergence of dedicated data quality criteria and concepts such as FAIR data. This work highlights frameworks, methodologies, and tools that address the challenges associated with the multidisciplinary nature of nanomaterial safety data. Existing approaches to evaluating the reliability, relevance, and completeness of data are considered in light of their potential for integration into harmonized standards and adaptation to advance material requirements. The goal here is to emphasize the importance of automated tools to reduce manual labor in making (meta)data FAIR, enabling trusted data re-use and fostering safer, more sustainable innovation of advanced materials. Awareness and prioritization of these challenges are critical for building robust data infrastructures.
2025
Surveys in Norwegian schools showed that some students experienced health problems, such as headaches or concentration issues which have been linked to indoor environment quality (IEQ). This research investigates the relationship between measured IEQ and students’ perceived IEQ as user-feedback in one lower secondary school. This study explores the factors contributing to the connection with certain parameters such as carbon dioxide (CO2), volatile organic compounds (VOC), and temperature levels with perceived IEQ. Despite achieving good IEQ levels according to standards, there is a notable discrepancy between measured IEQ and how students perceive the air quality. Two classrooms served by a demand-controlled ventilation system were monitored with IEQ measurement sensors and online questionnaires were given individually to students in each classroom. This enables to provide real-time students’ perception of indoor air and room temperature quality. Measurement results showed IEQ are of good quality, but students’ responses on perceived IEQ vary and showed over 25% are dissatisfied, indicating mixed feelings and dissatisfaction about perceived IEQ. Future research should focus on refining ventilation systems to bridge the gap between measured and perceived IEQ.
2025