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New EU Report Calls For Strict mCDR MRV Rules
A new EU report warns that currently, no mCDR technology has enough proof of CDR performance and impact to be deemed safe for deployment.
2025
Assessing the environmental burden of disease related to air pollution in Europe in 2023
This report evaluates the environmental burden of disease (EBD) linked to long-term exposure to fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3) across 41 European countries in 2023. Using the key health indicators—attributable deaths, years of life lost, years lived with disability, and disability-adjusted life years—the analysis quantifies the health impacts of air pollution above concentrations defined as the World Health Organisation’s air quality guideline levels. Approximately 206,000 deaths are attributable to PM2.5, while about 56,000 and 71,000 deaths area attributable to NO2 and O3, respectively. The disease burden from PM2.5 was highest due to its association with multiple health outcomes, with high baseline prevalence and mortality. Results highlight strong regional disparities, with South-Eastern Europe most affected by health effects from PM2.5 and NO2, and Southern Europe by those from O3. Findings underscore the need for targeted policies to reduce pollutant-specific health impacts in Europe.
European Topic Centre on Human Health and the Environment (ETC HE)
2025
Nitrous oxide (N2O) is the most important stratospheric ozone-depleting agent based on current emissions and the third largest contributor to increased net radiative forcing. Increases in atmospheric N2O have been attributed primarily to enhanced soil N2O emissions. Critically, contributions from soils in the Northern High Latitudes (NHL, >50°N) remain poorly quantified despite their exposure to rapid rates of regional warming and changing hydrology due to climate change. In this study, we used an ensemble of six process-based terrestrial biosphere models (TBMs) from the Global Nitrogen/Nitrous Oxide Model Intercomparison Project (NMIP) to quantify soil N2O emissions across the NHL during 1861–2016. Factorial simulations were conducted to disentangle the contributions of key driving factors, including climate change, nitrogen inputs, land use change, and rising atmospheric CO2 concentration, to the trends in emissions. The NMIP models suggests NHL soil N2O emissions doubled from 1861 to 2016, increasing on average by 2.0 ± 1.0 Gg N/yr (p
2025
Cyclic volatile methyl siloxanes in the terrestrial and aquatic environment at remote Arctic sites
Cyclic volatile methyl siloxanes (cVMS) are widely used chemicals with high emissions to the atmosphere due to their volatility. They are found in the Arctic atmosphere, indicating potential for long-range transport. This study examined the potential for deposition of cVMS (D4, D5, D6) to surface media via snow in Arctic regions. Results showed low cVMS levels in vegetation, soil, sediment, and marine biota. D4 was detected above detection limits but generally below quantification limits, while D5 and D6 were generally not detected. This aligns with current research, suggesting negligible cVMS input from atmospheric deposition via snow and snow melt.
NILU
2025
Citizen-operated low-cost air quality sensors (LCSs) have expanded air quality monitoring through community engagement. However, still challenges related to lack of semantic standards, data quality, and interoperability hinder their integration into official air quality assessments, management, and research. Here, we introduce FILTER, a geospatially scalable framework designed to unify, correct, and enhance the reliability of crowd-sourced PM2.5 data across various LCS networks. FILTER assesses data quality through five steps: range check, constant value detection, outlier detection, spatial correlation, and spatial similarity. Using official data, we modeled PM2.5 spatial correlation and similarity (Euclidean distance) as functions of geographic distance as benchmarks for evaluating whether LCS measurements are sufficiently correlated/consistent with neighbors. Our study suggests a −10 to 10 Median Absolute Deviation threshold for outlier flagging (360 h). We find higher PM2.5 spatial correlation in DJF compared to JJA across Europe while lower PM2.5 similarity in DJF compared to JJA. We observe seasonal variability in the maximum possible distance between sensors and reference stations for in-situ (remote) PM2.5 data correction, with optimal thresholds of ∼11.5 km (DJF), ∼12.7 km (MAM), ∼20 km (JJA), and ∼17 km (SON). The values implicitly reflect the spatial representativeness of stations. ±15 km relaxation for each season remains feasible when data loss is a concern. We demonstrate and validate FILTER's effectiveness using European-scale data originating from the two community-based monitoring networks, sensor.community and PurpleAir with QC-ed/corrected output including 37,085 locations and 521,115,762 hourly timestamps. Results facilitate uptake and adoption of crowd-sourced LCS data in regulatory applications.
2025
Anthropogenic compounds in the northernmost Atlantic puffin population
Contamination by organic pollutants, even in remote regions, poses a growing threat to wildlife, including seabirds. However, for many seabirds breeding at high latitudes, both the extent and nature of contaminant exposure remain largely unknown. This study aimed to identify the persistent organic pollutants (POPs) present in the Svalbard Atlantic puffin Fratercula arctica at the northern limit of its range. We also compare contaminant concentrations with those found in other species breeding on Svalbard and in puffin colonies further south. The Svalbard puffins were found to be contaminated by organochlorine pesticides (OCPs), polychlorinated biphenyls (PCBs), and per- and polyfluoroalkyl substances (PFAS). No significant sex difference was found. OCPs, PCBs and/or PFASs concentrations in Svalbard puffins were comparable to those of Brünnich's guillemots Uria lomvia, black guillemots Cepphus grylle, and/or little auks Alle alle, but lower than in glaucous gulls Larus hyperboreus. PFAS concentrations were also lower than in black-legged kittiwakes Rissa tridactyla. OCP and PCB concentrations were lower on Svalbard than in puffin colonies further south. This study is the first to document PFAS concentrations in puffins, therefore it remains unknown whether PFAS levels were also lower on Svalbard than further south. These comparisons should be interpreted with caution, as data for different species or colonies were collected in different years, and contaminant levels vary over time. The current contaminant concentrations indicate that Svalbard puffins are still at low risk for biological effects, but continued monitoring is needed to assess potential future changes.
2025
Environmental Contaminants in an Urban Fjord, 2024 – Emphasis on Alna River
This report presents data from the fourth year of a 5-year period of the Urban Fjord
programme. The programme started in 2013 and has since been altered/advanced.
In 2024 the programme covers sampling and analyses of water, water moss,
invertebrates, and trout from Alna River, as well as stormwater from Eastern Oslo
City. A sampling campaign was also conducted for source tracing of chlorhexidine,
dichloromethane and trichloromethane previously found in Alna River. A total of
240 single compounds/isomers were analyzed, and frequent detection was found
of specifc PFAS compounds in aqueous phases, other specifc PFAS compounds in
trout liver, UV-compounds and certain QACs in the particulate fraction of
stormwater, certain benzothiazoles in stormwater (dissolved and/or particulate
fraction) , chlorinated paraffns (MCCP and LCCP) in biota, certain siloxanes in
nearly all matrices, metals in all matrices, and PCBs in biota. Biomagnifcation was
only observed for a couple of the PCB congeners. However, as expected,
biomagnifcation was observed for mercury and PFOS. Biomagnifcation of silver
was observed when trout was represented by liver samples, but not muscle samples.
The source tracing showed the presence of the compounds at several stations
Norsk institutt for vannforskning (NIVA)
2025
2025
NTVA inviterer til et møte der tre nyinnvalgte toppforskere fra Industriell økologi ved NTNU deler innsikt fra sin forskning. Under temaet «Hvordan bidrar fagfeltet Industriell økologi til klima- og miljøforskningen» presenterer Francesca Verones plastens påvirkning på havmiljøet, Helene Muri diskuterer nye og kontroversielle klimaløsninger, og Francesco Cherubini belyser utfordringer og muligheter knyttet til landbruk, karbonlagring og naturvern.
2025
Personalized approaches are required for stroke management due to the variability in symptoms, triggers, and patient characteristics. An innovative stroke recommendation system that integrates automatic predictive analysis with semantic knowledge to provide personalized recommendations for stroke management is proposed by this paper. Stroke exacerbation are predicted and the recommendations are enhanced by the system, which leverages automatic Tree-based Pipeline Optimization Tool (TPOT) and semantic knowledge represented in an OWL Ontology (StrokeOnto). Digital sovereignty is addressed by ensuring the secure and autonomous control over patient data, supporting data sovereignty and compliance with jurisdictional data privacy laws. Furthermore, classifications are explained with Local Interpretable Model-Agnostic Explanations (LIME) to identify feature importance. Tailored interventions based on individual patient profiles are provided by this conceptual model, aiming to improve stroke management. The proposed model has been verified using public stroke dataset, and the same dataset has been utilized to support ontology development and verification. In TPOT, the best Variance Threshold + DecisionTree Classifier pipeline has outperformed other supervised machine learning models with an accuracy of 95.2%, for the used datasets. The Variance Threshold method reduces feature dimensionality with variance below a specified threshold of 0.1 to enhance predictive accuracy. To implement and evaluate the proposed model in clinical settings, further development and validation with more diverse and robust datasets are required.
2025
Seminar focused on health inequality arranged by the project Healthy Choices and the Social gradient.
2025
The role of the tropical carbon balance in determining the large atmospheric CO2 growth rate in 2023
Abstract. The global annual mean atmospheric CO2 growth rate in 2023 was one of the highest since records began in 1958, comparable to values recorded during previous major El Niño events. We do not fully understand this anomalous growth rate, although a recent study highlighted the role of boreal North American forest fires. We use a Bayesian inverse method to interpret global-scale atmospheric CO2 data from NASA's Orbiting Carbon Observatory (OCO-2). The resulting a posteriori CO2 flux estimates reveal that from 2022 to 2023, the biggest changes in CO2 fluxes of net biosphere exchange (NBE) – for which positive values denote a flux to the atmosphere – were over the land tropics. We find that the largest NBE increase is over eastern Brazil, with small increases over southern Africa and Southeast Asia. We also find significant increases over southeastern Australia, Alaska, and western Russia. A large NBE increase over boreal North America, due to fires, is driven by our a priori inventory, informed by independent data. The largest NBE reductions are over western Europe, the USA, and central Canada. Our NBE estimates are consistent with gross primary production estimates inferred from satellite observations of solar-induced fluorescence and from satellite observations of vegetation greenness. We find that warmer temperatures in 2023 explain most of the NBE change over eastern Brazil, with hydrological changes more important elsewhere across the tropics. Our results suggest that the ongoing environmental degradation of the Amazon is now playing a substantial role in increasing the global atmospheric CO2 growth rate.
2025